Alternatives to CData Connect AI
Compare CData Connect AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to CData Connect AI in 2026. Compare features, ratings, user reviews, pricing, and more from CData Connect 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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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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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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CData Power BI Connectors
CData Software
Your business depends on real-time data from your backend systems to deliver actionable insights and drive growth. The CData Power BI Connectors are the missing link in your data value chain. The CData Power BI Connectors offer the fastest & easiest way to connect Power BI to 250+ enterprise data sources, so you can finally leverage Power BI for truly universal data analysis. Easily connect Microsoft Power BI with live accounting, CRM, ERP, marketing automation, on-premise, and cloud data for real-time visual analysis and reporting. Power BI connectors are available for many popular data sources, including: - Microsoft Dynamics CRM - MongoDB - NetSuite - QuickBooks - Sage Intacct - Salesforce - SAP - Sharepoint - Snowflake - And 200+ More! The CData Connectors offer superior query speed and performance through connectivity features like DirectQuery and QueryPushdown. -
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CData Drivers
CData Software
CData Software is a leading provider of data access and connectivity solutions, specializing in the development of drivers and data access technologies for real-time access to online or on-premise applications, databases and Web APIs. CData Drivers are universally accessible, providing access to data through established data standards and application platforms such as: - ODBC - JDBC - ADO.NET - OData - SSIS - BizTalk - Excel CData provides drivers for 130+ data sources and counting, including analytics & BI platforms, CRM, ERP, data warehouse & database tools and popular finance, accounting and marketing SaaS tools. CData Drivers enable you to: - Connect BI, Reporting & ETL Tools to 130+ Data Sources - Save 1000s of Development Hours — It's Already Done For You - Use SQL, instead of complex coding, to access and use your data CData Drivers are trusted worldwide and backed by the highest quality support, with dedicated support options available.Starting Price: $399/Year -
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CData Sync
CData Software
CData Sync is a universal data pipeline that delivers automated continuous replication between hundreds of SaaS applications & cloud data sources and any major database or data warehouse, on-premise or in the cloud. Replicate data from hundreds of cloud data sources to popular database destinations, such as SQL Server, Redshift, S3, Snowflake, BigQuery, and more. Configuring replication is easy: login, select the data tables to replicate, and select a replication interval. Done. CData Sync extracts data iteratively, causing minimal impact on operational systems by only querying and updating data that has been added or changed since the last update. CData Sync offers the utmost flexibility across full and partial replication scenarios and ensures that critical data is stored safely in your database of choice. Download a 30-day free trial of the Sync application or request more information at www.cdata.com/sync -
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CData Connect
CData Software
CData Connect Your organization depends on real-time business and operational data to deliver actionable insights and drive growth. CData Connect is the missing link in your data value chain. CData Connect enables direct connectivity from any application that supports standard database connectivity, including popular cloud BI and ETL applications, such as: - Amazon Glue - Amazon QuickSight - Domo - Google Apps Script - Google Cloud Data Flow - Google Cloud Data Studio - Looker - Microsoft Power Apps - Microsoft Power Query - MicroStrategy Cloud - Qlik Sense Cloud - SAP Analytics Cloud - SAS Cloud - SAS Viya - Tableau Online ... and many more! CData Connect acts like a data gateway, translating SQL, and securely proxying API requests. -
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CData Python Connectors
CData Software
CData Python Connectors simplify the way that Python users connect to SaaS, Big Data, NoSQL, and relational data sources. Our Python Connectors offer simple Python database interfaces (DB-API), making it easy to connect with popular tooling like Jupyter Notebook, SQLAlchemy, pandas, Dash, Apache Airflow, petl, and more. CData Python Connectors create a SQL wrapper around APIs and data protocols, simplifying data access from within Python and enabling Python users to easily connect more than 150 SaaS, Big Data, NoSQL, and relational data sources with advanced Python processing. The CData Python Connectors fill a critical gap in Python tooling by providing consistent connectivity with data-centric interfaces to hundreds of different SaaS/Cloud, NoSQL, and Big Data sources. Download a 30-day free trial or learn more at: https://www.cdata.com/python/ -
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CData Excel Add-Ins
CData Software
CData Excel Add-Ins install right into Excel and empower anyone to instantly connect to live data from 200+ data sources — inside Excel. Quickly and conveniently get access to data from your accounting, CRM, ERP, sales, marketing, social media, SaaS, cloud, and database tools in Excel; even push changes from Excel right to your data — wherever it resides. Connect to live data from: - Quickbooks - Sage - Salesforce - HubSpot - Microsoft Dynamics 365 - MySQL - SQL Server - eTrade - And hundreds more The CData Excel Add-Ins simplify the way you read, write, and update live data from web and desktop applications. Perfect for mass imports / exports / updates, data cleansing & de-duplication, Excel based data analysis, and more! The Add-Ins are powerful tools that provide: - Bi-directional access to live data - Easy-to-use, straightforward configuration - Quick data imports, exports, backups, and integrations. -
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CData API Server
CData Software
The CData API Server is the fastest and easiest way to build and deploy data driven APIs. With API Server users can create APIs that deliver application back–ends for internal applications, facilitate mobile development projects, expose data as a service, and deploy enterprise–class microservices. The API Server is an installed application that includes everything needed to create, run, manage and secure APIs - all without custom development. It enables you to create and deliver self-contained API endpoints, on-premise or to the cloud - that connect to any application or database and translate REST, JSON, and OData API calls to your configured IT resources. Complete with API critical features like access-control, data security, monitoring, and management, API server is a powerful tool to help modernize your back-end infrastructure. Download a 30-day free trial of CData API Server or learn more at: https://www.cdata.com/apiserver/ -
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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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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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C-Data CMS
Shenzhen C-Data Technology Co., Ltd.
C-Data CMS is a cloud-based network and device management platform for ISPs and telecom operators. It centralizes the monitoring and maintenance of OLTs, ONUs, routers, and third-party devices, supporting deployments of up to 500,000 units. CMS provides full lifecycle management, covering device onboarding, configuration, real-time monitoring, diagnostics, and performance analysis. Key features include: • Unified management through EMS, TR-069 ACS, OMCI, and MQTT • Real-time and historical data monitoring • Automated configuration, backups, and fault diagnostics • On-premise or SaaS deployment options • Role-based access control for operational security CMS offers operators a single platform to streamline network operations, reduce maintenance complexity, and ensure consistent service quality.Starting Price: Bundled with hardware. -
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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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SSIS PowerPack
ZappySys
SSIS PowerPack is a collection of 70+ high-performance, drag-and-drop connectors/tasks for SSIS (i.e. Microsoft SQL Server Integration Services). SSIS PowerPack is designed to boost your productivity using easy-to-use, coding-free components to connect many cloud as well as on-premises data sources such as REST API Services, Azure Cloud, Amazon AWS Cloud, MongoDB, JSON, XML, CSV, Excel, Salesforce, Redshift, DynamoDB, Google API (i.e. Analytics, AdWords), SOAP/Web API, Facebook, Twitter, Zendesk, eBay and many more. SSIS PowerPack also includes high-quality FREE commercial components and tasks with full support/upgrade. Inbuilt Layout Editor for creating complex XML with nested structure (Document Array, Nested attributes, CData Section). Automatically Split exported XML data into multiple files by Size or Number of records. Read XML Document and extract single or multiple properties by name or using XPath expression. -
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Codd AI
Codd AI
Codd AI solves one of the biggest problems in analytics: making data truly business-ready. Instead of teams spending weeks manually mapping schemas, building models, and defining metrics, Codd uses generative AI to automatically create a context-aware semantic layer that aligns technical data with your business language. That means business users can ask questions in plain English and get accurate, governed answers instantly—through BI tools, conversational AI, or any endpoint. With governance and auditability built in, Codd makes analytics faster, clearer, and more trustworthy. Codd AI ingests both technical metadata from your database, as well as business rules and logic to use AI to auto-generate the most comprehensive semantic layer. This semantic layer is embedded in an intelligent query agent to power natural language (NLP) conversational analytics or power traditional BI toolsStarting Price: $25k per year -
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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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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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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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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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CData Arc
CData Arc International
CData Arc is a leading B2B application and data connectivity solution for secure managed file transfer (MFT), EDI processing, and back-office integration. It seamlessly connects enterprise applications like CRMs, ERPs, RDBMS, and more to automate complex processes and synchronization across the enterprise, both on-premises and in the cloud. The application supports file transfer through a wide array of B2B messaging protocols including AS2, AS4, OFTP, SFTP, and more. In addition, Arc features interactive EDI mapping and translation with support for all major EDI standards and protocols such as X12 and EDIFACT. A codeless visual interface features a modern drag-and-drop approach to workflow management where users can configure connectors in a workspace to build complex workflows. Drag-and-drop also extends to data transformation allowing users to easily map data between formats like JSON, XML, and CSV. Start a free 30-day trial or get more information on our websiteStarting Price: $0.00 -
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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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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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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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Kyvos Semantic Layer
Kyvos Insights
Kyvos is a semantic layer for AI and BI. By standardizing how data is defined and understood, Kyvos gives organizations a single, consistent, business-friendly view of their entire data estate. The result: AI agents reason with governed context, BI tools report consistent metrics, and the business gets answers it can trust. Built for enterprise scale, Kyvos provides the speed, scale, and trust that production-grade AI and enterprise BI demand. It also maximizes analytics investments by reducing token consumption and cloud compute costs. -
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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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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. -
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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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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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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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Boost.space
Boost.space
Boost.space is a no-code agentic database designed to give AI agents and automations the structured business context they need to operate effectively. It centralizes scattered data from CRM, ecommerce, billing, and support systems into a unified Single Source of Truth. The platform enables continuous two-way synchronization across tools, ensuring that information remains accurate and up to date. With built-in AI enrichment, users can classify records, normalize attributes, and generate structured metadata at scale. Boost.space also supports workflow automation through integrations with platforms like Make, Zapier, and n8n. Through its Model Context Protocol (MCP), AI agents can query live data and execute actions across connected systems without relying on static exports. Trusted by thousands of teams globally, Boost.space transforms fragmented datasets into actionable AI-ready infrastructure.Starting Price: $15/month -
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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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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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Rocket Data Virtualization
Rocket Software
Rocket® Data Virtualization (RDV) provides real‑time, zero‑copy access to mainframe and distributed data through a unified SQL abstraction layer. It lets organizations query and combine heterogeneous sources without data movement or replication, supporting analytics, AI/ML, and cloud‑native workloads while maintaining system‑of‑record governance. RDV connects to Db2, VSAM, IMS, Adabas, Datacom, and relational or cloud stores via JDBC/ODBC. Optimizations such as predicate pushdown, parallel execution, and adaptive caching deliver low‑latency access with minimal production impact. Security includes encryption, row/column‑level controls, data masking, and SAF/RACF integration, with high‑availability options for continuity. By keeping data in place and offloading read‑heavy workloads, RDV reduces mainframe CPU usage and enables governed enterprise data access without ETL or replication. -
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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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SSAS
Microsoft
Installed as an on-premises server instance, SQL Server Analysis Services supports tabular models at all compatibility levels (depending on version), multidimensional models, data mining, and Power Pivot for SharePoint. A typical implementation workflow includes installing a SQL Server Analysis Services instance, creating a tabular or multidimensional data model, deploying the model as a database to a server instance, processing the database to load it with data, and then assigning permissions to allow data access. When ready to go, the data model can be accessed by any client application supporting Analysis Services as a data source. Models are populated with data from external data systems, usually data warehouses hosted on a SQL Server or Oracle relational database engine (Tabular models support additional data source types). -
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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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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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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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Red Hat JBoss Data Virtualization is a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. Red Hat JBoss Data Virtualization makes data spread across physically diverse systems, such as multiple databases, XML files, and Hadoop systems, appear as a set of tables in a local database. Provides standards-based read/write access to heterogeneous data stores in real-time. Speeds application development and integration by simplifying access to distributed data. Integrate and transform data semantics based on data consumer requirements. Provides centralized access control, and auditing through robust security infrastructure. Turn fragmented data into actionable information at the speed your business needs. Red Hat offers support and maintenance over stated time periods for the major versions of JBoss products.
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41
Semantic UI React
Vercel
Semantic UI React is the official React integration for Semantic UI. jQuery-free, declarative API, augmentation, shorthand props, sub-components, auto controlled state. jQuery is a DOM manipulation library. It reads from and writes to the DOM. React uses a virtual DOM (a JavaScript representation of the real DOM). React only writes patch updates to the DOM, but never reads from it. It is not feasible to keep real DOM manipulations in sync with React's virtual DOM. Because of this, all jQuery functionality has been re-implemented in React. Control the rendered HTML tag, or render one component as another component. Extra props are passed to the component you are rendering as. Augmentation is powerful. You can compose component features and props without adding extra nested components. Shorthand props generate markup for you, making many use cases a breeze. All object props are spread on the child components.Starting Price: Free -
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SAP NetWeaver
SAP
Gain the tools, Web services, and application server capabilities you need to support seamless application, data, and system integration with SAP NetWeaver. Empower users and IT teams to define, change, and control decision logic. Apply semantically rich and declarative data models to enable conceptual thinking. Integrate processes across applications and organizational boundaries with a rich set of build-in functions for all domains with code pushdown capabilities. Extend SQL and cut complexity when connecting users to software – from social and collaboration platforms to mobile devices and Web applications – in real-time. Provide a socially oriented, highly interactive, and browser-based user experience on every device. -
43
AtScale
AtScale
AtScale helps accelerate and simplify business intelligence resulting in faster time-to-insight, better business decisions, and more ROI on your Cloud analytics investment. Eliminate repetitive data engineering tasks like curating, maintaining and delivering data for analysis. Define business definitions in one location to ensure consistent KPI reporting across BI tools. Accelerate time to insight from data while efficiently managing cloud compute costs. Leverage existing data security policies for data analytics no matter where data resides. AtScale’s Insights workbooks and models let you perform Cloud OLAP multidimensional analysis on data sets from multiple providers – with no data prep or data engineering required. We provide built-in easy to use dimensions and measures to help you quickly derive insights that you can use for business decisions. -
44
Read&Write
Texthelp
Read&Write is a literacy support tool that offers help with everyday tasks like reading text out loud, understanding unfamiliar words, researching assignments and proofing written work. Help students to study, revise, proofread and increase their understanding. Useful tools in Read&Write such as highlighters, voicenotes, vocab tools (allowing you to read what I type for example), audiomaker and more help students to study smarter, more independently and to a high standard. Struggling learners can use the tools in Read&Write to gain motivation and support to make progress in their learning. Helping them to express themselves with increased fluency and confidence. Helping to improve their reading and comprehension skills, and build their engagement in learning as a result. Provide students with digital resources to scaffold their learning. Vocabulary and definition resources, activities, study guides and MP3 versions of current resources are easily created with the tools in Read&Write.Starting Price: $145 per user per year -
45
Canopy
Canopy
Canopy is a financial data‑aggregation and analytics platform that consolidates portfolio data from any source, PDFs, Excel/CSV, APIs, SWIFT, custodians, and private banks, across all asset classes (equities, bonds, funds, private equity, hedge funds, derivatives, real estate, precious metals, crypto, art, wine, collections, etc.) and all currencies and geographies. It cleans, standardizes, and merges data into segregated PostgreSQL databases, one per client, enabling direct query access via an Excel add‑in or read/write database access and integration with other systems. Transactions are automatically processed to calculate asset allocation, performance, P&L, volatility, VaR, cash flows, risk analytics, and other financial metrics. Users can define unlimited “strategies”, custom groupings of transactions (by asset class, sector, account, security, etc.), and run infinitely configurable calculations via the web interface or Excel add‑in. -
46
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. -
47
Apache DataFusion
Apache Software Foundation
Apache DataFusion is an extensible, high-performance query engine written in Rust that utilizes Apache Arrow as its in-memory format. Designed for developers building data-centric systems such as databases, data frames, machine learning, and streaming applications, DataFusion offers SQL and DataFrame APIs, a vectorized, multi-threaded, streaming execution engine, and support for partitioned data sources. It natively supports formats like CSV, Parquet, JSON, and Avro, and allows for seamless integration with object stores including AWS S3, Azure Blob Storage, and Google Cloud Storage. The engine features a comprehensive query planner, a state-of-the-art optimizer with capabilities like expression coercion and simplification, projection and filter pushdown, sort and distribution-aware optimizations, and automatic join reordering. DataFusion is highly customizable, enabling the addition of user-defined scalar, aggregate, and window functions, custom data sources, query languages, etc.Starting Price: Free -
48
eRAG
GigaSpaces
GigaSpaces eRAG (Enterprise Retrieval Augmented Generation) is an AI-powered platform designed to enhance enterprise decision-making by enabling natural language interactions with structured data sources such as relational databases. Unlike traditional generative AI models that may produce inaccurate or "hallucinated" responses when dealing with structured data, eRAG employs deep semantic reasoning to accurately translate user queries into SQL, retrieve relevant data, and generate precise, context-aware answers. This approach ensures that responses are grounded in real-time, authoritative data, mitigating the risks associated with unverified AI outputs. eRAG seamlessly integrates with various data sources, allowing organizations to unlock the full potential of their existing data infrastructure. eRAG offers built-in governance features that monitor interactions to ensure compliance with regulations. -
49
Apache Hive
Apache Software Foundation
The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API. -
50
Grengin
Perter Technology Solutions Private Limited
Grengin is an open-source, self-hosted, enterprise-grade AI platform that gives organizations governed, multi-provider access to LLMs without sending data to third-party SaaS. It deploys in under 5 minutes via a cloud marketplace image with pre-wired OAuth/SSO or a one-line installer — no complex setup, no infrastructure headaches, just a working AI platform in minutes. It provides department budgets, role-based permissions, MCP tool integrations, semantic search over conversation history, and a full admin dashboard. Administrators get fine-grained control — choosing which AI providers and models are accessible, setting department budgets, managing MCP tool servers, and assigning role-based permissions at the org or department level. The platform also includes tamper-evident audit logs, usage analytics by user/department/model, SSO via Google and Azure AD.Starting Price: $0
