data observability

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 lineagemetadata management

Akira Technologies, Inc. is an information technology firm that helps federal agencies achieve mission objectives using advanced technologies to modernize essential systems and processes. It provides data, cloud, and security solutions, including data sourcing, streaming, monitoring, governance, cloud solutions, delivery pipelines, and cyber solutions, and applies Lean Product Development and Continuous Delivery techniques through its Akira Advantage framework.

cloud adoptioncontinuous deliveryCybersecuritydata governancedata managementdata pipeline modernizationLean Product Developmentproduct design and prototypingproduct portfolio management

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 lineagedata quality monitoringno-code configurationroot cause analysisunsupervised machine learning

Decube is a data observability platform that connects data quality monitoring, column-level lineage, and ownership to help teams investigate data issues and understand their business impact. It provides a trusted data context layer for teams and AI, combining lineage, quality, governance, and AI in one platform.

AI governanceanomaly detectioncolumn-level lineagedata catalog and discoverydata classificationdata contractsdata governancedata productsdata quality monitoringImpact analysisincident managementnatural language to SQL

Global IDs is a data management software company founded in 2001 by Dr. Arka Mukherjee to address the challenges of next-generation data ecosystems. It offers an integrated data solution and its Data Evolution Ecosystem Platform (DEEP) automates data governance by building knowledge of where data is, what it is, and how it flows. Its AI Assistants use Generative AI to automate common data management tasks.

data catalogdata classificationdata governancedata lineagedata profilingdata qualityGenerative AI automationmetadata management