Alternatives to Codd AI
Compare Codd AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Codd AI in 2026. Compare features, ratings, user reviews, pricing, and more from Codd AI competitors and alternatives in order to make an informed decision for your business.
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dbt
dbt Labs
dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow. Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence. -
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AnalyticsCreator
AnalyticsCreator
AnalyticsCreator is a metadata-driven data warehouse automation application for teams working in the Microsoft data ecosystem. It enables data engineers to design, generate, and maintain production-ready data products across Microsoft SQL Server, Azure Data Factory, and Microsoft Fabric. By using centralized metadata, AnalyticsCreator generates ELT pipelines, dimensional models, historization logic, and analytical models in a consistent, version-controlled way. This reduces manual implementation effort and tool sprawl while ensuring transparency through built-in lineage tracking and clear visibility into data dependencies and change impact. With CI/CD integration via Azure DevOps and GitHub, plus support for custom SQL, AnalyticsCreator helps data teams scale delivery, enforce standards, and maintain control as complexity grows. -
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TextQL
TextQL
The platform indexes BI tools and semantic layers, documents data in dbt, and uses OpenAI and language models to provide self-serve power analytics. With TextQL, non-technical users can easily and quickly work with data by asking questions in their work context (Slack/Teams/email) and getting automated answers quickly and safely. The platform also leverages NLP and semantic layers, including the dbt Labs semantic layer, to ensure reasonable solutions. TextQL's elegant handoffs to human analysts, when required, dramatically simplify the whole question-to-answer process with AI. At TextQL, our mission is to empower business teams to access the data that they're looking for in less than a minute. To accomplish this, we help data teams surface and create documentation for their data so that business teams can trust that their reports are up to date. -
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Beye
Beye
Beye is an AI-native generative business intelligence platform that ingests and auto-cleans raw data from spreadsheets, ERPs, and cloud apps, into unified, AI-optimized dataverses in weeks rather than months. Its generative BI agent auto-builds your first data model and starter dashboards around your specific use case, applying metadata and semantic layers, measure creation, and data preparation without manual effort. Business users, managers, and executives can ask questions in plain English, no SQL or dashboard navigation required, to receive instant, high-fidelity analytics, contextualized insights, and root-cause explanations with traceable queries. It integrates seamlessly with SAP, Snowflake, Salesforce, NetSuite, and over 50 additional sources, supports collaborative channels and custom metrics, and validates answers through AI-driven workflows. -
5
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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Kyvos Semantic Layer
Kyvos Insights
Kyvos is a semantic layer for AI and BI. It gives organizations a single, consistent, business-friendly view of their entire data estate. By standardizing how data is defined and understood, Kyvos eliminates metric drift across BI tools and ensures that LLMs and AI agents work with governed business semantics rather than raw tables. Kyvos also delivers lightning-fast analytics at massive scale and high concurrency — including granular multidimensional analysis on the cloud — without the sluggish query times and escalating cloud costs that typically come with it. Kyvos semantic layer provides a unified semantic foundation for AI and BI, standardizing metrics, KPIs, and business logic across tools. It grounds AI in governed business context, eliminates metric drift, and delivers sub-second analytics at scale with high concurrency. It also enables deep multidimensional analysis and reduces cloud costs by serving analytics through its semantic layer. -
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Actian AI Analyst
Actian
Actian AI Analyst is a context-aware conversational analytics platform designed to help organizations get trusted answers from their data using natural language. It enables business users to ask questions directly without writing SQL, transforming traditional dashboards into an interactive, ongoing conversation with data. It operates on a governed semantic layer that models business metrics, relationships, and definitions before analysis begins, ensuring that every query is grounded in how the organization actually works. This semantic layer is automatically generated and maintained by the Steward AI agent, which continuously monitors data definitions and connections, providing reviewable action plans to maintain accuracy over time. AI Analyst preserves conversational context across follow-up questions, allowing deeper exploration while keeping results consistent with defined business logic. -
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Brewit
Brewit
Make data-driven decisions 10x faster with self-service analytics. Integrate with your databases and data warehouses all-in-one place (Postgres, MySQL, Snowflake, BigQuery, and more). Brewit can write SQL queries and create recommended charts based on your data questions. It also helps you drill down on the analysis. Chat with your database, visualize insights, & perform analysis. Ensure answer accuracy and consistency with a built-in data catalog. An automated semantic layer that ensures Brewit answers with correct business logic. Easily manage your data catalog & data dictionary. Building a beautiful report is as easy as writing a doc. Data without a story is useless. Our Notion-style notebook editor allows you to create reports & dashboards easily, turning raw data into actionable insights. All organized data products are usable by anyone who has a data question, regardless of their technical skills. -
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Dremio
Dremio
Dremio delivers lightning-fast queries and a self-service semantic layer directly on your data lake storage. No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers. Dremio technologies like Data Reflections, Columnar Cloud Cache (C3) and Predictive Pipelining work alongside Apache Arrow to make queries on your data lake storage very, very fast. An abstraction layer enables IT to apply security and business meaning, while enabling analysts and data scientists to explore data and derive new virtual datasets. Dremio’s semantic layer is an integrated, searchable catalog that indexes all of your metadata, so business users can easily make sense of your data. Virtual datasets and spaces make up the semantic layer, and are all indexed and searchable. -
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Strategy Mosaic
Strategy Software
Strategy Mosaic is an AI-powered universal semantic data layer and analytics foundation that sits on top of an organization’s existing data systems to unify, govern, and accelerate access to business data for analytics, AI, and reporting without costly restructuring. It creates a single source of truth with consistent business definitions, metrics, and security policies across tools and sources, harmonizing data from hundreds of systems so insights are reliable and comparable everywhere. Built with AI-assisted data modeling (Mosaic Studio), Mosaic automates data preparation, cleansing, enrichment, and modeling, reducing the time and effort needed to build robust data products and semantic models. Its universal connectors let users access governed data via SQL, REST, Python, or through popular BI and productivity tools like Power BI, Tableau, Excel, and Google Sheets, while an in-memory acceleration engine delivers fast query performance across diverse sources. -
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CData Connect AI
CData
CData’s AI offering is centered on Connect AI and associated AI-driven connectivity capabilities, which provide live, governed access to enterprise data without moving it off source systems. Connect AI is built as a managed Model Context Protocol (MCP) platform that lets AI assistants, agents, copilots, and embedded AI applications directly query over 300 data sources, such as CRM, ERP, databases, APIs, with a full understanding of data semantics and relationships. It enforces source system authentication, respects existing role-based permissions, and ensures that AI actions (reads and writes) follow governance and audit rules. The system supports query pushdown, parallel paging, bulk read/write operations, streaming mode for large datasets, and cross-source reasoning via a unified semantic layer. In addition, CData’s “Talk to your Data” engine integrates with its Virtuality product to allow conversational access to BI insights and reports. -
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Kater.ai
Kater.ai
Kater is built for data professionals and data inquisitors. All organized data products are immediately usable by anyone who has a data question, without knowing a lick of SQL. Kater aims to bridge the ownership of data across all business domains in your company. Butler securely connects to your data warehouse's metadata and objects to help you code, discover data, and so much more. Optimize your data for AI with automatic intelligent labeling, categorization, and data curation. We help you define your semantic layer, metric layer, and general documentation. Validated answers are stored in the query bank for smarter, more accurate responses. -
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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 -
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SAP Business Data Cloud is a fully managed SaaS solution that unifies and governs all SAP data while seamlessly connecting with third-party data, providing line-of-business leaders with the context needed to make impactful decisions. It offers mission-critical data products, granting access to SAP data across essential business processes in a deeply contextual and governed manner, thereby eliminating the high costs associated with data extraction and replication. As a leading data platform, it enables the connection of all SAP and third-party data through a fully managed SaaS solution in collaboration with Databricks. The platform delivers powerful insight applications, facilitating transformational insights for advanced analytics and planning across various lines of business. By harmonizing all mission-critical data within an open data ecosystem and leveraging a robust semantic layer, SAP Business Data Cloud provides unparalleled business understanding.
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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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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. -
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Stardog
Stardog Union
With ready access to the richest flexible semantic layer, explainable AI, and reusable data modeling, data engineers and scientists can be 95% more productive — create and expand semantic data models, understand any data interrelationship, and run federated queries to speed time to insight. Stardog offers the most advanced graph data virtualization and high-performance graph database — up to 57x better price/performance — to connect any data lakehouse, warehouse or enterprise data source without moving or copying data. Scale use cases and users at lower infrastructure cost. Stardog’s inference engine intelligently applies expert knowledge dynamically at query time to uncover hidden patterns or unexpected insights in relationships that enable better data-informed decisions and business outcomes.Starting Price: $0 -
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DataGalaxy
DataGalaxy
DataGalaxy is a next-generation data governance and intelligence platform designed to help organizations manage, understand, and maximize the value of their data. Built around a unified interface, it empowers everyone—from executives to data consumers—to collaborate seamlessly across data assets, strategies, and analytics. The platform’s automated data catalog, governance hub, and AI co-pilot reduce manual work while ensuring compliance and data quality across systems. With over 70+ integrations, including Snowflake, Databricks, Power BI, and AWS, DataGalaxy connects your data ecosystem into a single source of truth. Its value tracking center and strategy cockpit align data initiatives with business goals, driving measurable outcomes and enterprise-wide visibility. Loved by users, DataGalaxy turns governance into a strategic advantage for the modern enterprise. -
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BeagleGPT
BeagleGPT
Proactive data and insights nudges for each user according to their usage pattern, automated heuristic rules, data updates, and user-cohort learnings. The semantic layer is finetuned for organizations with their nomenclatures and terminologies. User roles and preferences are considered while building responses for them. Advanced modules to answer how, why and so what scenarios. A single subscription covers the entire organization, truly propelling data democratization. Beagle is built to nudge you and your team toward data-driven decision-making. It is your personal data assistant that delivers all data-related updates and alerts in your message box. With in-built self-service functionalities, Beagle reduces the total cost of ownership by huge margins. Beagle connects with other dashboards to enhance their power and increase their reach in the organization. -
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MetaCenter
Data Advantage Group
MetaCenter enables business and technology teams to catalog and classify an organization's information assets. Users can self-service questions about their data assets and how data flows through the business and classify how it should be used. This enables organizations to lower costs while improving agility and reducing operational risks. Search-based semantic layer automates cross-referencing models. Faceted Views of specific data assets can be published to individual roles. Lower cost of ownership and higher levels of automation deliver superior ROI compared to competing solutions. Simple GUI driven customization enables rapid application customization. No programming or professional services are required. -
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BinarBase
BinarBase
Easily connect financial data, customer data and third-party apps to our unified platform. No complex setup required. Effortless tracking and analyzing all your business data, driving informed decision-making and growth. Our semantic layer infuses meaning into your data, making it readily understandable for business users. We provide you with a comprehensive view of your business performance, enabling you to see areas for improvement and optimize operations. Identify patterns in expenses, revenue streams and cash flow trends to gain a deeper understanding of your financial health. Understand customer behavior, including purchase patterns and payment cycles. Track key metrics to assess your startup's progress and make data-driven adjustments to your strategy. -
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Microsoft Fabric
Microsoft
Reshape how everyone accesses, manages, and acts on data and insights by connecting every data source and analytics service together—on a single, AI-powered platform. All your data. All your teams. All in one place. Establish an open and lake-centric hub that helps data engineers connect and curate data from different sources—eliminating sprawl and creating custom views for everyone. Accelerate analysis by developing AI models on a single foundation without data movement—reducing the time data scientists need to deliver value. Innovate faster by helping every person in your organization act on insights from within Microsoft 365 apps, such as Microsoft Excel and Microsoft Teams. Responsibly connect people and data using an open and scalable solution that gives data stewards additional control with built-in security, governance, and compliance.Starting Price: $156.334/month/2CU -
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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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GoodData
GoodData
Launch embeddable dashboards, charts, and graphs in unmatched time to market. With GoodData’s self-service analytics user interface, business users can build their own dashboards and visualizations to retrieve the insights they need. Don't pay per user when scaling your business. Plus, as your organization grows in data volume, so will your analytics — without impacting performance. GoodData lays the foundation for flexible data connection and transformation. Advanced data modeling and semantics ensure integrity and accuracy for every metric. Our platform is secure at every level, from multi-tenant architecture to regulatory compliance. Avoid common misconceptions about building a SaaS product with embedded analytics. Read about analytics integration into applications and the must-have features. -
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Arize Phoenix
Arize AI
Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.Starting Price: Free -
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Textkernel Source & Match
Textkernel
Source & Match automatically matches the best candidates and jobs across internal and external databases. Through our semantic layer and sophisticated data enrichment everyone becomes an expert sourcing specialist. We find what you mean, not just what you type, making it easy to discover the best talent or jobs. Plus, our powerful matching engine, integrated into your ATS, CRM, Internal Mobility or Talent Management platform, automatically transforms a job posting or candidate into a comprehensive search query providing results with a shortlist of promising candidates or jobs. Our matching accuracy is the game-changer as it provides results you can rely on! - Unlock the full value of your talent and jobs database - Automate with confidence - Eliminate bias Source & Match products redefine the hiring process by enhancing efficiency, elevating the candidate experience, and empowering organizations to turn their talent data into a valuable asset. -
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Solid
Solid
Solid is an AI-powered data intelligence platform designed to make enterprise data reliable and ready for use across AI, analytics, and “chat with your data” experiences. It automatically discovers, documents, and builds business-aware semantic models from a company’s existing data, queries, and tools, creating a consistent foundation that AI systems can trust. It analyzes how data is actually used within the organization and generates validated tables, metrics, relationships, and SQL logic aligned with real business definitions. Through products such as Solid Build and Solid Analyze, teams can automate semantic modeling, translate natural-language questions into production-ready SQL, and keep models continuously updated as data changes. It emphasizes transparency and human oversight, allowing data teams to review, edit, and validate AI-generated models rather than relying on opaque automation. -
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SAP Datasphere
SAP
SAP Datasphere is a unified data experience platform within SAP Business Data Cloud, designed to provide seamless, scalable access to mission-critical business data. It integrates data from SAP and non-SAP systems, harmonizing diverse data landscapes and enabling faster, more accurate decision-making. With capabilities like data federation, cataloging, semantic modeling, and real-time data integration, SAP Datasphere ensures that businesses have consistent, contextualized data across hybrid and cloud environments. The platform simplifies data management by preserving business context and logic, providing a comprehensive view of data that drives innovation and enhances business processes. -
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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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Business Pulse
Business Pulse
Business Pulse is an AI-powered chat-based business intelligence platform that offers quick insights about businesses through chat and transforms the way businesses make decisions. It enables business users to ask questions in plain English and receive real-time, actionable insights without the need of complex dashboards or lengthy reports. Features Include: 1. Natural Language Data Chat 2. Trainable, Context-Aware AI 3. Transparent, Self-Service Analytics 4. Exportable Insights 5. Customizable Onboarding & Setup 6. Secure, Compliant Data Handling 7. Wide Data Source Support Benefits: 1. Quick Business Insights for Everyone 2. Faster, Smarter Decisions 3. Save Data Team Resources 4. Customizable to Fit Any Business 5. Enterprise-Ready from Day One Who Is It for? 1. Business Decision-Makers 2. Non-Technical Teams 3. Data Analysts & Engineers 4. Consultants & Agencies 5. Enterprise IT & BI TeamsStarting Price: $99/user/month -
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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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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. -
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Modern DataOS
The Modern Data Company
The Modern Data Company’s flagship offering is DataOS, a data operating system that radically simplifies how organizations unify, manage, and activate data at scale by turning raw data into governed, reusable, AI-ready data products that power insights and decisions without slowing teams down. DataOS lays a composable, open layer on top of existing data infrastructure so businesses can discover and activate trusted data products with built-in policies, ownership, traceability, and a universal semantic layer that standardizes metrics and definitions across domains, reducing complexity and hidden costs while accelerating time to value. It features robust discovery and search capabilities so users can browse curated, business-ready data products by domain or use case, coupled with global metrics and lifecycle management to monitor usage, performance, adoption, and ROI of data products throughout their lifecycle. -
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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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TalkBI
TalkBI
TalkBI is a conversational business intelligence platform designed to make data analysis as simple as asking questions in natural language. It allows users to query their databases in plain English and instantly receive real-time insights, eliminating the need to write complex SQL or build manual reports. Each interaction builds on the previous one, enabling a continuous conversational exploration of data that helps teams uncover deeper patterns and metrics more efficiently. TalkBI connects directly to common SQL databases such as PostgreSQL and MySQL and generates automatic visualizations, including charts, graphs, and dashboards that adapt to the user’s query. It emphasizes speed and accessibility, aiming to remove the traditional friction associated with BI tools so both technical and non-technical users can access insights when they need them. -
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Patentics
Patentics
Patentics is an AI-driven patent intelligence platform that combines third-generation semantic search, high-fidelity translation, deep data processing, and automated analysis to help users uncover, evaluate, and visualize global patent information. Leveraging a model trained on tens of millions of data points, Patentics' semantic engine interprets patent text, expands related expressions, auto-classifies IPC codes, and surfaces the most relevant prior art, even identifying documents that threaten novelty or inventiveness. It ingests and normalizes data from 160+ national and regional patent offices and over 130 analytical fields, enriching dossiers with family, citation, transaction, and legal-status metadata. Native Chinese-to-English and English-to-Chinese neural translation lets users search and browse foreign patents in their preferred language. Built-in operators, visual query flows, and clustering tools support multi-dimensional filtering, grouping, and mapping. -
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Graphed
Graphed
Graphed is an AI-driven business intelligence and analytics platform that helps teams connect all their data sources in minutes without technical skills and transform them into real-time dashboards, charts, reports, and insights with a conversational experience instead of manual BI tooling. Users can link platforms such as Google Analytics, Shopify, Stripe, Salesforce, Postgres, Google Sheets, Klaviyo, ad platforms, and CRM systems to create a unified data warehouse and eliminate fragmented reporting, letting the system manage the data pipeline, storage, and visualization. Once connected, teams can ask plain-English questions of their data and receive automatically generated visualizations, analysis, and explanations that reveal performance trends, underperforming campaigns, revenue drivers, churn metrics, pipeline health, and other business KPIs without writing queries or building charts manually. -
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Greptile
Greptile
Greptile can answer hard questions on complex codebases better than any other tool. Greptile answers questions like that one 100X dev on your team who's been around for years and knows the codebase cold. Search across multiple branches of multiple repos all at once. Multi-repo codebases, open source dependencies and more. Locate code deeply hidden in messy, legacy codebases by simply describing it in plain English. Thanks to our semantic abstraction layer, Greptile works with most public programming languages.Starting Price: $20 per user per month -
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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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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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Supaboard
Supaboard
Supaboard is an AI-powered business intelligence platform that enables users to analyze data and create real-time dashboards by simply asking questions in plain English. With one-click connections to over 60 data sources, including MySQL, PostgreSQL, Google Analytics, Shopify, Salesforce, and Notion, users can unify their data without a complex setup. It offers pre-trained, industry-specific AI analysts that generate SQL and NoSQL queries automatically, providing instant insights through charts, tables, and summaries. Users can build and embed customized dashboards by pinning responses and tailoring information for different audiences with filtered views. Supaboard ensures data security by connecting with read-only access, storing only schema metadata, and implementing granular access controls. Designed for universal usability, it minimizes operational overhead, allowing businesses to make data-driven decisions 10 times faster without requiring coding or data expertise.Starting Price: $99 per month -
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Menza
Menza
Menza is an AI-powered data analytics and business intelligence platform that continuously monitors and analyzes a company’s connected data, from ecommerce systems like Shopify and POS to ad platforms like Google Ads and Meta, CRM, finance, and more, then translates complex signals into clear, plain-English insights, alerts, and recommendations so teams always know what’s happening and why. With over 650 integrations, Menza lets users ask natural-language questions about their business and instantly receive trustworthy, cross-platform answers, visual dashboards, and proactive alerts delivered to their inbox or dashboard before small issues become big problems. It automatically detects anomalies such as revenue drops, inventory shortages, campaign inefficiencies, and optimization opportunities, offering context and actions that help optimize marketing spend, operations, and growth strategies.Starting Price: $125 per month -
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Papermap
Papermap
Papermap is an AI-native data analytics platform designed to help teams collect, process, analyze, and visualize business data without the complexity of traditional BI tools. It enables users to connect data sources such as databases, spreadsheets, and third-party platforms, and automatically builds data pipelines and dashboards in seconds, allowing teams to start analyzing information immediately. It emphasizes real-time data processing, giving users access to up-to-date insights as data arrives, and supports advanced analytics that scale from simple dashboards to more complex data modeling. Through its conversational AI interface, users can ask questions in plain English and receive instant answers, charts, and insights, eliminating the need for SQL queries or technical expertise. Papermap also includes an AI command center that generates visualizations, uncovers trends, and helps identify anomalies, correlations, and opportunities directly from raw data.Starting Price: $19 per month -
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HunyuanWorld
Tencent
HunyuanWorld-1.0 is an open source AI framework and generative model developed by Tencent Hunyuan that creates immersive, explorable, and interactive 3D worlds from text prompts or image inputs by combining the strengths of 2D and 3D generation techniques into a unified pipeline. At its core, the project features a semantically layered 3D mesh representation that uses 360° panoramic world proxies to decompose and reconstruct scenes with geometric consistency and semantic awareness, enabling the creation of diverse, coherent environments that can be navigated and interacted with. Unlike traditional 3D generation methods that struggle with either limited diversity or inefficient data representations, HunyuanWorld-1.0 integrates panoramic proxy generation, hierarchical 3D reconstruction, and semantic layering to balance high visual quality and structural integrity while enabling exportable meshes compatible with common graphics workflows.Starting Price: Free -
45
Compass
Dagster Labs
Compass is an AI-powered, Slack-native data assistant that turns plain English questions into instant answers, summaries, charts, and insights powered by your actual warehouse data, so teams can make data-driven decisions without waiting on BI backlogs or building dashboards first. It connects directly to major data warehouses (Snowflake, BigQuery, Redshift, Postgres, AWS Athena, Databricks, and more), learns your schema and context, and generates governed, SQL-backed responses and visualizations in the tools your team already uses, all while keeping your data where it lives and under your control. Compass builds organizational context over time so answers become more accurate and relevant, supports collaboration through Slack threads, can schedule recurring analysis, and provides a shared repository of definitions and insights that help reduce analytical silos and reliance on specialized SQL users.Starting Price: $49 per month -
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MultiLipi
MultiLipi
MultiLipi is a next-generation localization and search visibility ecosystem designed for the AI-driven economy. We empower businesses to transcend language barriers by transforming static websites into high-authority, multilingual digital assets. While traditional tools focus solely on translation, MultiLipi introduces a specialized layer of Generative Engine Optimization (GEO). Our platform ensures your brand content is not just searchable on Google, but is accurately indexed, cited, and recommended by AI engines like Gemini, ChatGPT, and Perplexity across 120+ languages. Key Capabilities: Automated SEO Localization: Instant translation that preserves metadata and hureflang tags. AI Cite-ability Analytics: Real-time tracking of how generative search engines perceive your content. No-Code Integration: Deploy in under 3 minutes on WordPress, Shopify, Next.js, and custom stacks. Semantic Search Optimization: Capture high-intent international traffic through conversationStarting Price: $0 / month (Free Forever Tier -
47
Align AI
Coxwave
Discover. Analyze. Optimize. Use Align AI's intuitive semantic search to effortlessly sift through conversational data. Just type 'find me conversations where...' and let our engine do the rest. Meet Columbus, your intelligent data co-pilot. Columbus analyzes conversations, highlights key trends, and even recommends which dialogues deserve your attention. Armed with these insights, take data-driven actions to enhance user engagement and build a smarter, more responsive AI product. Columbus not only tells you what's happening but also suggests how to make it better. -
48
impaction.ai
Coxwave
Discover. Analyze. Optimize. Use [impaction.ai]'s intuitive semantic search to effortlessly sift through conversational data. Just type 'find me conversations where...' and let our engine do the rest. Meet Columbus, your intelligent data co-pilot. Columbus analyzes conversations, highlights key trends, and even recommends which dialogues deserve your attention. Armed with these insights, take data-driven actions to enhance user engagement and build a smarter, more responsive AI product. Columbus not only tells you what's happening but also suggests how to make it better. -
49
Querri
Querri
Querri is an AI-powered data analytics platform designed to make data collaboration effortless by enabling users to connect, clean, analyze, and visualize data all in one place. It features a natural-language interface that lets you ask questions in plain English and instantly get visual answers. It also includes automated data cleansing and ingestion tools that handle messy or disparate files (CSV, Excel, JSON, Parquet) and cloud-storage sources (Google Drive, OneDrive, Dropbox), joining and reformatting them so you can start analyzing without delay. A drag-and-drop dashboard builder enables the quick creation of shareable reports, while built-in integrations cover spreadsheets and business apps (Excel, Smartsheet, QuickBooks, Airtable, among others). Querri offers white-label capabilities so you can embed or brand the analytics engine within your own product.Starting Price: $16 per month -
50
TURBOARD
TURBOARD
TURBOARD is a comprehensive business intelligence and data analytics tool that brings scattered business data together into unified, visual dashboards and reports with an intuitive drag-and-drop interface and conversational AI assistant to make analysis fast and accessible. It lets users connect to all major data sources, automatically transform raw data into clear charts, scorecards, and key performance indicators, and explore insights using built-in AI by asking questions in natural language. TURBOARD supports advanced analytics including predictive modeling, trend tracking, SQL-based expressions, extended filtering, what-if simulations, spreadsheet-like calculations, and geospatial visualization with interactive map layers. It also offers flexible export options, conditional formatting, customizable themes, and integration capabilities for embedding dashboards into external systems.
