Alternatives to SCIKIQ
Compare SCIKIQ alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to SCIKIQ in 2026. Compare features, ratings, user reviews, pricing, and more from SCIKIQ competitors and alternatives in order to make an informed decision for your business.
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DataHub
DataHub
DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors. Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support. -
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Denodo
Denodo Technologies
Denodo is an intelligent data platform that helps organizations deliver live, unified, and governed data for trustworthy AI, analytics, and self-service initiatives. The platform uses logical data management to connect distributed data across hybrid, multi-cloud, on-premises, SaaS, and third-party environments without requiring data movement or duplication. Denodo helps businesses integrate data silos, enable self-service access, enforce governance, deliver real-time insights, and enrich data with business context. It is designed to support agentic AI by giving AI agents accurate, up-to-date, and governed enterprise data for better decisions and actions. The platform includes capabilities such as zero-copy data access, unified semantics, centralized compliance, natural language search, data marketplaces, and optimized query performance. -
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Domo
Domo
Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results.Why SCIKIQ is Better than Domo
SCIKIQ offers a more holistic and flexible approach than Domo, extending beyond BI and dashboards to cover the complete enterprise data-to-AI lifecycle. SCIKIQ combines Data Integration, ETL/ELT, Data Quality, Governance, Lineage, Data Semantics, Business Intelligence, Conversational Analytics and Agentic AI in one AI-native platform. Unlike a BI-centric approach, SCIKIQ works across the existing enterprise ecosystem—SAP, cloud, on-premise, data warehouses, data lakes and existing BI tools without forcing replatforming. Its no-code, AI-assisted experience reduces dependence on data teams and technical resources, enabling business leaders to access intelligence directly while data teams automate complex data workflows. With flexible cloud, hybrid and on-premise deployment, faster implementation and enterprise support, SCIKIQ can deliver value in weeks—reducing complexity, total cost and time-to-ROI. One platform for data teams, business leaders and enterprise AI—built to scale.
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MANTA
Manta
Manta is the world-class automated approach to visualize, optimize, and modernize how data moves through your organization through code-level lineage. By automatically scanning your data environment with the power of 50+ out-of-the-box scanners, Manta builds a powerful map of all data pipelines to drive efficiency and productivity. Visit manta.io to learn more. With Manta platform, you can make your data a truly enterprise-wide asset, bridge the understanding gap, enable self-service, and easily: • Increase productivity • Accelerate development • Shorten time-to-market • Reduce costs and manual effort • Run instant and accurate root cause and impact analyses • Scope and perform effective cloud migrations • Improve data governance and regulatory compliance (GDPR, CCPA, HIPAA, and more) • Increase data quality • Enhance data privacy and data security -
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Alation
Alation
The Alation Agentic Data Intelligence Platform enables organizations to scale and accelerate their AI and data initiatives. By unifying search, cataloging, governance, lineage, and analytics, it transforms metadata into a strategic asset for decision-making. The platform’s AI-powered agents—including Documentation, Data Quality, and Data Products Builder—automate complex data management tasks. With active metadata, workflow automation, and more than 120 pre-built connectors, Alation integrates seamlessly into modern enterprise environments. It helps organizations build trusted AI models by ensuring data quality, transparency, and compliance across the business. Trusted by 40% of the Fortune 100, Alation empowers teams to make faster, more confident decisions with trusted data. -
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CLAIRE
Informatica
Informatica’s CLAIRE AI is an enterprise-grade, metadata-driven artificial intelligence engine embedded within the Intelligent Data Management Cloud that automates and accelerates data management tasks to deliver accurate, trusted, and AI-ready data at scale. CLAIRE uses deep metadata insight to reduce manual effort, democratize access to data, and streamline processes across integration, quality, governance, master data management, and observability, supporting autonomous workflows with AI agents, natural language interaction, and proactive recommendations. It powers capabilities such as CLAIRE Agents, which independently plan, reason, and solve complex data challenges like discovery, pipeline generation, quality remediation, and lineage tracking; CLAIRE GPT, a conversational interface that lets users ask questions in natural language to discover, analyze, and execute data tasks; and CLAIRE Copilot, an AI assistant that provides contextual guidance and suggestions. -
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Acceldata
Acceldata
Acceldata is an Agentic Data Management company helping enterprises manage complex data systems with AI-powered automation. Its unified platform brings together data quality, governance, lineage, and infrastructure monitoring to deliver trusted, actionable insights across the business. Acceldata’s Agentic Data Management platform uses intelligent AI agents to detect, understand, and resolve data issues in real time. Designed for modern data environments, it replaces fragmented tools with a self-learning system that ensures data is accurate, governed, and ready for AI and analytics. -
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Aggua
Aggua
Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making. Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday. Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure. -
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Actian Data Intelligence Platform is a cloud-native, AI-ready solution designed to transform how organizations discover, understand, govern, and trust their data across complex environments. It unifies capabilities such as data cataloging, metadata management, data governance, lineage, observability, and semantic context into a single platform, creating a central, trusted layer for enterprise data. Powered by a federated knowledge graph, it builds intelligent relationships between data assets, enabling the system to automatically understand context, deliver relevant search results, and provide recommendations for data use. This approach allows both technical and business users to easily find and work with trusted data, improving decision-making and operational efficiency. It continuously monitors data health, enforces governance policies, and generates automated trust signals, ensuring data remains accurate, compliant, and ready for analytics and AI applications.
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Auraa
Covasant Technologies Private Limited
Auraa is Covasant's Databricks-native, agent-driven data platform which is the fastest path to AI-ready data on Databricks. With its conversational AI capabilities in natural language, enterprises can use agents to discover various data sources, build pipelines, enforce data quality, and register everything in Unity Catalog autonomously, from day one. Auraa eliminates pipeline code, engineering backlog, and months of manual configuration. While creation of a data lake on Databricks usually takes more than 18-24 months, Auraa onboards the first source in under 15 minutes, deploys the first use case within hours, and shrinks the overall deployment timeframe to about 8-10 weeks, and reduces the overall implementation cost by upto 70%. Auraa treats every data engineering decision as structured, versioned, governed metadata rather than fragile hand-coded pipelines. Auraa ensures Databricks lakehouse is reproducible, auditable, and continuously improvable by agents. -
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Precisely Data Integrity Suite
Precisely
Precisely Data Integrity Suite is a modular, interoperable cloud-based platform that provides a comprehensive set of services to ensure data is accurate, consistent, and enriched with meaningful context across an organization. It is designed as a unified solution that connects multiple data integrity capabilities, including data integration, data quality, data governance, data observability, geo addressing, spatial analytics, and data enrichment, all working together through a central Data Integrity Foundation. It enables businesses to break down data silos by building scalable data pipelines, monitoring data health to proactively detect anomalies, and governing data with visibility into lineage, policies, and relationships. It also enhances data usability by verifying, cleansing, and enriching datasets with additional contextual information, including location intelligence and curated external data sources, allowing organizations to uncover patterns. -
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MarkLogic
Progress Software
Unlock data value, accelerate insightful decisions, and securely achieve data agility with the MarkLogic data platform. Combine your data with everything known about it (metadata) in a single service and reveal smarter decisions—faster. Get a faster, trusted way to securely connect data and metadata, create and interpret meaning, and consume high-quality contextualized data across the enterprise with the MarkLogic data platform. Know your customers in-the-moment and provide relevant and seamless experiences, reveal new insights to accelerate innovation, and easily enable governed access and compliance with a single data platform. MarkLogic provides a proven foundation to help you achieve your key business and technical outcomes—now and in the future. -
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Turn data chaos into data value with data intelligence. Connect, discover, enrich, and orchestrate disjointed data assets into actionable business insights at enterprise scale. SAP Data Intelligence is a comprehensive data management solution. As the data orchestration layer of SAP’s Business Technology Platform, it transforms distributed data sprawls into vital data insights, delivering innovation at scale. Provide your users with intelligent, relevant, and contextual insights with integration across the IT landscape. Integrate and orchestrate massive data volumes and streams at scale. Streamline, operationalize, and govern innovation driven by machine learning. Optimize governance and minimize compliance risk with comprehensive metadata management rules. Connect, discover, enrich, and orchestrate disjointed data assets into actionable business insights at enterprise scale.Starting Price: $1.22 per month
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Atlan
Atlan
The modern data workspace. Make all your data assets from data tables to BI reports, instantly discoverable. Our powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze. Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we’ve got you covered. Atlan takes the pain away from governing and managing your data ecosystem! Atlan’s bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance. Even non-technical users can directly query across multiple data lakes, warehouses & DBs using our excel-like query builder. Native integrations with tools like Tableau and Jupyter makes data collaboration come alive.Why SCIKIQ is Better than Atlan
SCIKIQ delivers faster ROI by taking enterprises from fragmented data to trusted analytics and AI in weeks—not months. While Atlan is known for data cataloging, metadata and governance, SCIKIQ goes further by combining Data Integration, ETL/ELT, Data Quality, Governance, Lineage, Data Semantics, Business Intelligence and Agentic AI in one AI-native platform. SCIKIQ’s no-code, AI-assisted approach reduces implementation effort, learning curves and dependency on multiple tools. It works with existing SAP, cloud, data warehouse, data lake and BI environments without costly replatforming. Data teams can integrate, govern and operationalize data, while business leaders can directly use it through Conversational Analytics and Enterprise 360. Faster deployment, fewer platform dependencies and responsive enterprise support mean quicker adoption, lower total cost and measurable business value in weeks.
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Ataccama ONE
Ataccama
Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data. -
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IBM watsonx.data integration is a data integration platform designed to help organizations transform raw data into AI-ready data at scale. The platform enables data teams to build, manage, and optimize data pipelines across multiple environments, including on-premises systems and hybrid or multi-cloud infrastructures. With a unified control plane, watsonx.data integration supports multiple integration styles such as batch processing, real-time streaming, and data replication within a single solution. The platform also offers no-code, low-code, and pro-code development options, allowing both technical and non-technical users to design and manage data pipelines efficiently. By simplifying data integration workflows and reducing reliance on multiple tools, watsonx.data integration helps organizations deliver reliable data for analytics and AI applications.
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SYNQ
SYNQ
SYNQ is a data observability platform that helps modern data teams define, monitor, and manage their data products. It brings together ownership, testing, and incident workflows so teams can stay ahead of issues, reduce data downtime, and deliver trusted data faster. With SYNQ, every critical data product has clear ownership and real-time visibility into its health. When something breaks, the right people are alerted—with the context they need to understand and resolve the issue quickly. At the center of SYNQ is Scout, your autonomous, always-on data quality agent. Scout proactively monitors data products, recommends what and where to test, does root-cause analysis and fixes issues. It connects lineage, issue history, and contextual data to help teams fix problems faster. SYNQ integrates with the tools you already use and is trusted by leading scale-ups and enterprises such as VOI, Avios, Aiven and Ebury.Starting Price: $0 -
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Databricks
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.Why SCIKIQ is Better than Databricks
SCIKIQ delivers many of the enterprise data and AI capabilities organizations look for in modern platforms like Databricks, but with a simpler, faster and no-code approach. SCIKIQ combines Data Integration, ETL/ELT, Data Quality, Governance, Lineage, Data Semantics, Analytics and Agentic AI in one AI-native platform. Unlike platforms that often require specialized data engineering, IT and technical skills, SCIKIQ reduces dependence on data and IT teams. Its no-code, AI-assisted experience enables business and data teams to build, govern and use enterprise data with a significantly lower learning curve. SCIKIQ works with existing SAP, databases, data warehouses, data lakes, cloud and BI environments without requiring replatforming. Faster implementation, simpler administration and flexible cloud, hybrid or on-premise deployment help enterprises go live in weeks, reduce technical overhead and achieve faster ROI from data and AI.
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Collibra
Collibra
With a best-in-class catalog, flexible governance, continuous quality, and built-in privacy, the Collibra Data Intelligence Cloud is your single system of engagement for data. Support your users with a best-in-class data catalog that includes embedded governance, privacy and quality. Raise the grade, by ensuring teams can quickly find, understand and access data across sources, business applications, BI and data science tools in one central location. Give your data some much-needed privacy. Centralize, automate and guide workflows to encourage collaboration, operationalize privacy and address global regulatory requirements. Get the full story around your data with Collibra Data Lineage. Automatically map relationships between systems, applications and reports to provide a context-rich view across the enterprise. Hone in on the data you care about most and trust that it is relevant, complete and trustworthy. -
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Monte Carlo
Monte Carlo
We’ve met hundreds of data teams that experience broken dashboards, poorly trained ML models, and inaccurate analytics — and we’ve been there ourselves. We call this problem data downtime, and we found it leads to sleepless nights, lost revenue, and wasted time. Stop trying to hack band-aid solutions. Stop paying for outdated data governance software. With Monte Carlo, data teams are the first to know about and resolve data problems, leading to stronger data teams and insights that deliver true business value. You invest so much in your data infrastructure – you simply can’t afford to settle for unreliable data. At Monte Carlo, we believe in the power of data, and in a world where you sleep soundly at night knowing you have full trust in your data. -
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Progress Semaphore
Progress Software
Semaphore is an enterprise metadata management and semantic AI platform designed to transform complex information into meaningful, actionable intelligence. It creates rich, contextual metadata that adds meaning to structured and unstructured data across the organization. The platform helps businesses understand, trust, analyze, and leverage their data more effectively. Semaphore applies a semantic layer that reduces information silos, language ambiguity, and vocabulary gaps. It supports advanced analytics, automation, and AI initiatives by providing high-quality contextual data. Knowledge modeling and classification tools enable consistent understanding across systems and teams. Semaphore helps organizations unlock the full business value of their enterprise knowledge. -
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Validio
Validio
See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only. -
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Knowledge Catalog is an AI-powered data catalog from Google Cloud that helps organizations manage and understand their entire data ecosystem. It automatically extracts semantics from both structured and unstructured data to build a dynamic context graph. This enables better data discovery, governance, and context-aware insights across the enterprise. The platform helps reduce AI hallucinations by grounding models in accurate, enterprise-specific data. It provides tools for tracking data lineage, profiling data, and measuring data quality. Users can also create business glossaries and enrich metadata to improve data usability. Knowledge Catalog integrates with various Google Cloud services and supports both analytics and AI-driven workflows. Overall, it enhances data visibility, governance, and trust across organizations.Starting Price: $0.060 per hour
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Databao
JetBrains
Databao is an AI-powered agentic analytics platform designed to help organizations connect databases, BI tools, documents, and spreadsheets into a governed semantic layer that enables reliable natural language querying and analytics. The platform allows technical and business users to ask questions in plain language and receive accurate, reproducible answers without relying on manual dashboard creation, SQL writing, or ad-hoc analytics requests. Databao includes open-source tools such as Context Engine, Data Agent, and an Analytics CLI that work together to generate semantic context from enterprise data sources, automate SQL generation, query multiple datasets, clean and visualize data, and orchestrate conversational analytics workflows. The platform supports local deployment within an organization’s environment and integrates with large language models to reduce SQL hallucinations, improve query accuracy, and streamline data workflows.Starting Price: Free -
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Cloudera
Cloudera
Manage and secure the data lifecycle from the Edge to AI in any cloud or data center. Operates across all major public clouds and the private cloud with a public cloud experience everywhere. Integrates data management and analytic experiences across the data lifecycle for data anywhere. Delivers security, compliance, migration, and metadata management across all environments. Open source, open integrations, extensible, & open to multiple data stores and compute architectures. Deliver easier, faster, and safer self-service analytics experiences. Provide self-service access to integrated, multi-function analytics on centrally managed and secured business data while deploying a consistent experience anywhere—on premises or in hybrid and multi-cloud. Enjoy consistent data security, governance, lineage, and control, while deploying the powerful, easy-to-use cloud analytics experiences business users require and eliminating their need for shadow IT solutions. -
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Pantomath
Pantomath
Organizations continuously strive to be more data-driven, building dashboards, analytics, and data pipelines across the modern data stack. Unfortunately, most organizations struggle with data reliability issues leading to poor business decisions and lack of trust in data as an organization, directly impacting their bottom line. Resolving complex data issues is a manual and time-consuming process involving multiple teams all relying on tribal knowledge to manually reverse engineer complex data pipelines across different platforms to identify root-cause and understand the impact. Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem providing context to complex data pipelines by creating automated cross-platform technical pipeline lineage. -
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Gathr.ai
Gathr.ai
Gathr is a Data+AI fabric, helping enterprises rapidly deliver production-ready data and AI products. Data+AI fabric enables teams to effortlessly acquire, process, and harness data, leverage AI services to generate intelligence, and build consumer applications— all with unparalleled speed, scale, and confidence. Gathr’s self-service, AI-assisted, and collaborative approach enables data and AI leaders to achieve massive productivity gains by empowering their existing teams to deliver more valuable work in less time. With complete ownership and control over data and AI, flexibility and agility to experiment and innovate on an ongoing basis, and proven reliable performance at real-world scale, Gathr allows them to confidently accelerate POVs to production. Additionally, Gathr supports both cloud and air-gapped deployments, making it the ideal choice for diverse enterprise needs. Gathr, recognized by leading analysts like Gartner and Forrester, is a go-to-partner for Fortune 500Starting Price: $0.25/credit -
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Orchestra
Orchestra
Orchestra is a Unified Control Plane for Data and AI Operations, designed to help data teams build, deploy, and monitor workflows with ease. It offers a declarative framework that combines code and GUI, allowing users to implement workflows 10x faster and reduce maintenance time by 50%. With real-time metadata aggregation, Orchestra provides full-stack data observability, enabling proactive alerting and rapid recovery from pipeline failures. It integrates seamlessly with tools like dbt Core, dbt Cloud, Coalesce, Airbyte, Fivetran, Snowflake, BigQuery, Databricks, and more, ensuring compatibility with existing data stacks. Orchestra's modular architecture supports AWS, Azure, and GCP, making it a versatile solution for enterprises and scale-ups aiming to streamline their data operations and build trust in their AI initiatives. -
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Anomalo
Anomalo
Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear in your data and before anyone else is impacted. Detect, root-cause, and resolve issues quickly – allowing everyone to feel confident in the data driving your business. Connect Anomalo to your Enterprise Data Warehouse and begin monitoring the tables you care about within minutes. Our advanced machine learning will automatically learn the historical structure and patterns of your data, allowing us to alert you to many issues without the need to create rules or set thresholds. You can also fine-tune and direct our monitoring in a couple of clicks via Anomalo’s No Code UI. Detecting an issue is not enough. Anomalo’s alerts offer rich visualizations and statistical summaries of what’s happening to allow you to quickly understand the magnitude and implications of the problem. -
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CluedIn
CluedIn
CluedIn has the quickest implementation time of any master data management platform on the market. CluedIn has transformed traditional MDM into an augmented experience. Less manual work. Better results. This is simply impossible with traditional MDM. CluedIn has revolutionized a new type of MDM with no restrictions. CluedIn has been designed to remove the standard complexities with traditional MDM. CluedIn is a cloud-native Master Data Management platform that was built to run at low cost. Enterprise software that has the onboarding simplicity of buying a SAAS platform. Whereas traditional MDM vendors will ask you to stitch together different products into an end to end story, we have stitched together the common pillars of master data management for you. We took a knife to traditional master data management and came out the other side with techniques that automate the hardest parts of the process and render traditional approaches as obsolete.Starting Price: $28,500 per year -
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GoodData.AI
GoodData.AI
GoodData.AI is an AI-ready analytics platform that helps organizations turn data into actionable insights through business intelligence, embedded analytics, and governed semantic modeling. It enables businesses to build dashboards, AI-powered applications, and intelligent workflows using a composable architecture designed for enterprise environments. The platform provides a centralized semantic layer that ensures consistent business logic across reports, analytics, AI agents, and embedded experiences. GoodData supports cloud and on-premises deployments while integrating with modern data ecosystems and enterprise applications. It also includes AI capabilities for conversational analytics, automation, decision support, and custom agent development. With enterprise-grade security, compliance certifications, and extensive developer tools, GoodData is designed to help organizations modernize their analytics infrastructure for the AI era. -
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Bigeye
Bigeye
Bigeye is the data observability platform that helps teams measure, improve, and communicate data quality clearly at any scale. Every time a data quality issue causes an outage, the business loses trust in the data. Bigeye helps rebuild trust, starting with monitoring. Find missing and busted reporting data before executives see it in a dashboard. Get warned about issues in training data before models get retrained on it. Fix that uncomfortable feeling that most of the data is mostly right, most of the time. Pipeline job statuses don't tell the whole story. The best way to ensure data is fit for use, is to monitor the actual data. Tracking dataset-level freshness ensures pipelines are running on schedule, even when ETL orchestrators go down. Find out about changes to event names, region codes, product types, and other categorical data. Detect drops or spikes in row counts, nulls, and blank values to ensure everything is populating as expected. -
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MetricSign
MetricSign
MetricSign monitors your entire data stack and detects incidents before your stakeholders do. Connect Power BI via Microsoft OAuth in 2 minutes. MetricSign immediately starts detecting refresh failures, slow datasets, and missed schedules — classifying each with the exact error code and a root cause hint. Beyond Power BI, MetricSign monitors Azure Data Factory, Databricks, dbt Cloud, dbt Core, and Microsoft Fabric. When an ADF pipeline fails and cascades into a Power BI refresh failure, you get one incident — not five separate alerts from five different tools. Key capabilities: - Refresh failure detection with 98+ error code classifications - End-to-end lineage: source → pipeline → dataset → report - Slow refresh and missed schedule detection - Alerts via email, Telegram, webhook - Free plan available — no credit card requiredStarting Price: 69€/3 workspaces -
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Colrows
Colrows
Colrows is an autonomous semantic layer engineered to make enterprise AI reliable at production scale. Enterprise AI initiatives stall when models hallucinate and answers lack auditability. Colrows fixes the context, not the model. The platform continuously crawls databases, warehouses, catalogs, and documentation to build a dynamic business graph of entities, metrics, and logic. Sitting between enterprise data and AI surfaces, Colrows compiles natural language into governed, auditable SQL query plans. Every output traces directly to a verified single source of truth. Key capabilities include: AI Data Analyst: Conversational analytics with end-to-end SQL lineage. Semantic API: Standardized semantic infrastructure for internal copilots and agents. Auto-Crawl Engine: Continuous metadata synchronization without manual coding. Colrows delivers the mathematical accuracy and regulatory defensibility that probabilistic RAG cannot match. It is suited for regulated industries.Starting Price: $70/user/month -
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1Platform
Polestar Analytics
1Platform is a data engineering, analytics, and AI/ML platform that helps organizations unify, prepare, and analyze data to generate business-ready intelligence and automated insights; it blends advanced data engineering with generative AI, autonomous agents, and business intelligence capabilities so enterprises can move from raw data to measurable outcomes and strategic decisions. It supports end-to-end data workflows, including data orchestration, analytics plays, AI assistants (agentic and generative), and pre-built machine learning models that accelerate insights across sales, supply chain, finance, and operations while making data governance, integration, and readiness easier. Polestar’s ecosystem also includes tools for AI-led decision support and analytics dashboards, and it emphasizes scalable, cloud-ready infrastructure that connects with major hyperscalers and partners like Databricks to build an AI-ready data foundation. -
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Aiimi
Aiimi
Aiimi’s Workplace AI platform is an enterprise-scale AI and data management solution that connects all structured and unstructured data across an organization through a single Virtual Data Layer, enabling secure, scalable AI-powered search, analysis, automation, and actionable insights. It uses AI, machine learning, and Retrieval Augmented Generation (RAG) to discover, classify, enrich, and govern data at scale, turning fragmented information into trusted, “AI-ready” datasets that support natural language search, contextual chat and assistant features, advanced Q&A, and visualizations like knowledge graphs and timelines. It automates complex processes such as data governance, compliance monitoring, data quality improvement, DSAR/disclosure handling, and cloud/legacy system migration, while preserving access controls, permissions, and audit trails. -
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QuickLaunch Analytics
QuickLaunch Analytics
QuickLaunch Analytics is an enterprise data analytics platform that helps organizations turn fragmented data from ERP, CRM, financial, HR and operational systems into a unified, governed analytics ecosystem with faster, business-ready insights; rather than building analytics infrastructure from scratch, it provides a Foundation Pack that includes automated data pipelines, a cloud-native data lakehouse and Power BI semantic models so raw enterprise data can be integrated, cleaned, and governed for analytics, and Application Packs that layer pre-built, application-specific intelligence and production-ready semantic models tailored to systems like JD Edwards, Viewpoint Vista, NetSuite, Salesforce and others to decode complex data structures into business-friendly metrics and dashboards; the platform accelerates time-to-insight from months/years to weeks with standardized metrics and reports, supports cross-application analysis and self-service BI, and uses modern technologies. -
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Graphwise
Graphwise
Graphwise is an AI platform that helps businesses automate knowledge and trust their AI by turning fragmented data into a trusted semantic backbone. The all-in-one suite makes generative AI reliable and scalable by transforming data into AI-ready, context-rich assets, deploying intelligent agent-based systems, and delivering powerful AI applications on an integrated platform. Graphwise moves beyond simple data chunks with Precise GraphRAG, using a governed knowledge graph to ground every response in verified facts, eliminate hallucinations, and provide accurate, actionable answers. It combines automated modeling, high-performance graph technology, semantic search, recommendation, taxonomy and ontology management, data automation, graph-based text mining, and enterprise-ready GraphRAG workflows. It supports use cases such as technical knowledge management, semantic digital twins, compliance intelligence, and scientific knowledge management. -
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Karl
Kanerika
Karl is an AI agent that answers business questions in plain language from your existing data — no SQL, no Python, no analyst required. Ask in natural language and get back charts, forecasts, and reports in seconds. Karl connects to SQL, NoSQL, cloud data lakes, and real-time streams. It delivers insights directly inside Microsoft Teams, Power BI, and Microsoft Fabric. Every answer is governed, source-traced, and grounded in your metadata and lineage layer. Pre-built analytics agents for manufacturing, retail, and banking cut deployment from months to weeks. Also available as a native Microsoft Fabric workload.Starting Price: $10,000 -
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Anzo
Cambridge Semantics
Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand. -
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Arundo Enterprise
Arundo
Arundo Enterprise is a modular, flexible software suite to create data products for people. We connect live data to machine learning and other analytical models, and model outputs to business decisions. Arundo Edge Agent enables industrial connectivity and analytics in rugged, remote, or disconnected environments. Arundo Composer allows data scientists to quickly and easily deploy desktop-based analytical models into the Arundo Fabric cloud environment with a single command. Composer also enables companies to create and manage live data streams and integrate such streams with deployed data models. Arundo Fabric is the cloud-based hub for deployed machine learning models, data streams, edge agent management, and quick navigation to extended applications. Arundo offers a portfolio of high ROI SaaS products. Each of these solutions comes with a core out-of-the-box functional capability that leverages the core strengths of Arundo Enterprise. -
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ETL DataHub
ETL
DataHub from ETL Solutions is an enterprise-grade data integration, orchestration, and management platform designed to help organizations connect, harmonize, and operationalize data from diverse sources into a unified, governed, and accessible ecosystem. It enables seamless ingestion and transformation of structured and unstructured data through pre-built connectors and mappings, automated workflows, change data capture, and real-time data pipelines that support analytics, reporting, and AI/ML use cases. Built for hybrid and multi-cloud environments, DataHub centralizes metadata and business logic while enforcing data governance, lineage, and quality controls so stakeholders can trust and act on enterprise data. Its orchestration engine handles complex dependencies and schedules, ensuring data arrives on time and maintains consistency across systems. -
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Timbr.ai
Timbr.ai
Timbr is the ontology-based semantic layer used by leading enterprises to make faster, better decisions with ontologies that transform structured data into AI-ready knowledge. By unifying enterprise data into a SQL-queryable knowledge graph, Timbr makes relationships, metrics, and context explicit, enabling both humans and AI to reason over data with accuracy and speed. Its open, modular architecture connects directly to existing data sources, virtualizing and governing them without replication. The result is a dynamic, easily accessible model that powers analytics, automation, and LLMs through SQL, APIs, SDKs, and natural language. Timbr lets organizations operationalize AI on their data - securely, transparently, and without dependence on proprietary stacks - maximizing data ROI and enabling teams to focus on solving problems instead of managing complexity.Starting Price: $599/month -
44
Microsoft Purview
Microsoft
Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. Easily create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage. Empower data consumers to find valuable, trustworthy data. Automated data discovery, lineage identification, and data classification across on-premises, multicloud, and SaaS sources. Unified map of your data assets and their relationships for more effective governance. Semantic search enables data discovery using business or technical terms. Insight into the location and movement of sensitive data across your hybrid data landscape. Establish the foundation for effective data usage and governance with Purview Data Map. Automate and manage metadata from hybrid sources. Classify data using built-in and custom classifiers and Microsoft Information Protection sensitivity labels.Starting Price: $0.342 -
45
Decube
Decube
Decube is a data management platform that helps organizations manage their data observability, data catalog, and data governance needs. It provides end-to-end visibility into data and ensures its accuracy, consistency, and trustworthiness. Decube's platform includes data observability, a data catalog, and data governance components that work together to provide a comprehensive solution. The data observability tools enable real-time monitoring and detection of data incidents, while the data catalog provides a centralized repository for data assets, making it easier to manage and govern data usage and access. The data governance tools provide robust access controls, audit reports, and data lineage tracking to demonstrate compliance with regulatory requirements. Decube's platform is customizable and scalable, making it easy for organizations to tailor it to meet their specific data management needs and manage data across different systems, data sources, and departments. -
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Singulr
Singulr
Singulr is an enterprise AI governance and security platform that provides a unified control plane to help organizations discover, secure, and optimize AI adoption at scale. It addresses the growing gap between rapid AI usage and limited governance by delivering complete visibility into all AI systems in use, including homegrown applications, embedded AI, public tools, and shadow AI that often remains invisible to security teams. It continuously discovers and inventories AI assets across the organization, creating a real-time map of agents, models, and services, while assessing their risk through contextual analysis of data handling, model lineage, vulnerabilities, and compliance implications. Through its Singulr Pulse intelligence layer, it evaluates millions of AI systems, assigns risk scores, and supports automated onboarding workflows that reduce approval cycles from weeks to hours without compromising security. -
47
Redpanda Agentic Data Plane
Redpanda Data
Redpanda is an enterprise data streaming platform designed to make AI agents safe, governed, and effective across all organizational data. Its Agentic Data Plane connects agents to data sources across cloud, on-prem, and hybrid environments without creating risk or chaos. Redpanda unifies live data streams and historical data into a single, queryable layer. Built-in governance ensures every agent action is authorized, logged, and auditable. The platform enables agents to retrieve exactly the data they need with full context. Redpanda records and replays all agent activity for transparency and debugging. It helps enterprises move from experimental AI to production-ready agentic systems. -
48
Observo AI
Observo AI
Observo AI is an AI-native data pipeline platform designed to address the challenges of managing vast amounts of telemetry data in security and DevOps operations. By leveraging machine learning and agentic AI, Observo AI automates data optimization, enabling enterprises to process AI-generated data more efficiently, securely, and cost-effectively. It reduces data processing costs by over 50% and accelerates incident response times by more than 40%. Observo AI's features include intelligent data deduplication and compression, real-time anomaly detection, and dynamic data routing to appropriate storage or analysis tools. It also enriches data streams with contextual information to enhance threat detection accuracy while minimizing false positives. Observo AI offers a searchable cloud data lake for efficient data storage and retrieval. -
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Avalor
Avalor
Avalor’s data fabric helps security teams make faster, more accurate decisions. Our data fabric architecture integrates disparate data sources from legacy systems, data lakes, data warehouses, sql databases, and apps, providing a holistic view of business performance. Automation, 2-way sync, alerts, and analytics live on top of the platform, powered by the data fabric. All security functions benefit from fast, reliable, and precise analysis of enterprise data including asset coverage, compliance reporting, ROSI analysis, vulnerability management, and more. The average security team uses dozens of specialized tools and products, each with its own purpose, taxonomy, and output. With so much disparate data, it’s hard to prioritize your efforts and know exactly where issues lie. Quickly and accurately respond to questions from the business using data from across your organization. -
50
Cube
Cube Dev
Cube is a platform that provides a universal semantic layer to simplify and unify enterprise data management and analytics. By transforming how data is managed, Cube eliminates the need for inconsistent models and metrics, delivering trusted data to users while making it AI-ready. This platform helps organizations scale their data infrastructure by integrating disparate data sources and creating consistent metrics that can be used across teams. Cube is designed for enterprises looking to enhance their analytics capabilities, make their data accessible, and power AI-driven insights with ease.