data lineage

DataHub is an open-source metadata platform and enterprise context platform built on DataHub Core. It provides AI-powered discovery, governance, observability, and lineage across an organization's data estate to deliver data quality, compliance, and AI readiness. The site states it is trusted by an open source community of 3,000+ organizations and 16,000+ members.

AI-powered documentationautomated quality checkscontext managementdata discoverydata governancedata observabilitymetadata management

Actian provides a data intelligence platform for trusted AI, combining a federated knowledge graph, real-time data quality and observability, conversational analytics, and contract-first governance. The platform includes a unified data catalog and data marketplace, data lineage, AI glossary building, automated PII detection, and natural language data access, with 100+ connectors for deployment in days.

automated PII detectioncontract-first governanceconversational analyticsData Catalogingdata governancedata integration with 100+ connectorsdata quality and observabilityembedded analyticsknowledge graphnatural language data access

Adaptive Analytics, Inc. is an enterprise AI governance company. It provides the Adaptive Governance Enterprise Manager (GEM) platform, which unifies data governance, quality, metadata, and architecture using AI, Large Language Models, and the Model Context Protocol. It also offers Enterprise Architecture Manager, Metadata Manager, Bank in a Box for financial institutions, and Modular Open Systems Integrator for government and defense.

AI and LLM-based governancedata governanceData Qualityenterprise architecture modelingimpact analysismetadata harvesting and parsingmetadata managementregulatory compliance

Anomalo provides an automated data quality monitoring platform for the enterprise. Its agentic AI suite autonomously monitors, investigates, surfaces, and reports on data quality, including table observability, data quality checks, data insights, conversational analytics, and data documentation. It serves industries including telecommunications, media, financial services, retail, healthcare, and energy.

agentic AIalertingdata observabilitydata quality monitoringno-code configurationroot cause analysisunsupervised machine learning

Cloudera is a hybrid data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Its modular hybrid data and AI platform, Cloudera Anywhere Cloud, is engineered for the Sovereign AI era, converging public cloud with enterprise data centers to deliver a unified cloud experience.

AI inferencedata catalogdata engineeringdata governancedata lakehousedata warehouseedge managementhybrid data and AI platformstreaming data processing

Coalesce is the data operating layer where humans and AI agents build, govern, and observe data together in one governed platform. It brings Transform, Catalog, and Quality into a single system, offering agentic data engineering with AI inside existing workflows connected through MCPs, CLI, and APIs, with human verification of results.

AI agentsCLI toolingData Catalogingdata governancedata migrationdata quality monitoringdata transformationMCP integrationmetadata management

Collibra is the enterprise AI control plane, built over eighteen years of ontology engineering, that governs context and control across any data, any model and any agent. It provides context governance, AI governance, data governance, and context engineering, turning scattered data into governed context for AI models and agents. Collibra serves more than 700 customers, including 78 of the Fortune 500, and governs more than 2 billion assets.

AI governancecontext governancedata governancedata privacy automationmetadata enrichmentontology engineeringquality assessmentsensitivity screening

DataSQRL, Inc. provides software and related services for building and operating enterprise data pipelines, data products, and AI-enabled applications. Its platform builds reliable data pipelines, APIs, and data products in SQL, automating integration, verification, and serving. It is built on Apache Flink, Kafka, Iceberg, and Postgres, runs in Kubernetes clusters in cloud or on-premise, and offers automated deployments, monitoring, recovery, data lineage, governance, and cost visibility.

agentic data engineeringautomated deploymentsautomated verificationCI/CDcost visibilitygovernancemonitoringrecoverySQL-based data pipeline development

Droice Labs develops AI middleware for healthcare and life sciences. Its product Hawk is a HIPAA/GDPR compliant AI middleware that losslessly converts raw patient data such as EHR, labs, and claims into analysis-ready form for clinical trials and evidence generation. Droice combines machine learning, natural language processing, data science, and data engineering with clinical and biomedical expertise to build tools for health systems, life sciences, and payors.

data engineeringData ScienceLLM-based medical text interpretationlossless RWD processingMachine Learningnatural language processing

EmergeGen provides Data Central, an AI platform that unifies siloed, unstructured enterprise data into a secure, AI-ready layer. It combines cognitive intelligence, semantic understanding, ontology and knowledge graphs to ingest structured, semi-structured, and unstructured data and deliver governed, queryable intelligence for compliance and decision-making.

AI and SLM solutionsbias detectiondata governancedata ingestion and normalizationdocument processing automationknowledge graphsnatural language queryontology and semantic layering