Data Governance
Microsoft Purview Alternatives: Choosing The Right Data Governance Solution
Looking at Microsoft Purview for data governance? Here’s what it provides within the Microsoft ecosystem - and how Atlan complements it.
October 13, 2026Articles & tutorials
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![What Is Writer AI? Enterprise Generative AI Platform [2026]](https://atlan.com/og/know-ai-agent-ai-agent-applications-what-is-writer-ai-enterprise-platform.webp)
Ai Agent
What Is Writer AI? Enterprise Generative AI Platform [2026]
Writer is an enterprise agent platform with Palmyra models, Knowledge Graph, and Agent Builder. See its components, pricing, and integrations.
October 12, 2026
Ai Agent
What Is Braintrust? How the AI Eval Platform Works in 2026
Braintrust is an AI eval platform for tracing and scoring LLM agents. See how it works, what an eval score leaves open, and where context lineage helps.
October 12, 2026
Ai Agent
Writer Knowledge Graph vs Enterprise Context Layer
Writer Knowledge Graph vs a governed enterprise context layer: what each grounds, where in-platform RAG stops, and how the two work together through MCP.
October 12, 2026![Atlan vs TrustGraph: Context Layer vs Self-Hosted Graph [2026]](https://atlan.com/og/know-ai-agent-knowledge-graph-atlan-vs-trustgraph.webp)
Ai Agent
Atlan vs TrustGraph: Context Layer vs Self-Hosted Graph [2026]
Atlan vs TrustGraph compared: what TrustGraph's open-source context graph does, what Atlan's context layer adds, and how both work together in 2026.
October 12, 2026
Ai Agent
What Is TrustGraph Used For in AI Pipelines? A 2026 Guide
TrustGraph builds context graphs for GraphRAG and agents. See what it does in AI pipelines, where it stops, and when an enterprise context layer fits.
October 12, 2026
Ai Agent
What Is an Operational Ontology? Objects, Links, and Actions
Learn how an operational ontology connects business objects to governed actions, how write-back works, and why AI agents need current context underneath it.
October 12, 2026
Ai Agent
MCP and the Semantic Layer: How AI Agents Get Governed Metrics
How MCP connects AI agents to a semantic layer's metric definitions, what a semantic layer's MCP server leaves out, and where a context layer fits.
October 12, 2026
Ai Agent
Agent Context Layer Tools: The 2026 Directory
A structured directory of 17 agent context layer tools organized by use case: enterprise context, graph memory, RAG, and conversational memory for 2026.
October 9, 2026
Ai Agent
The 13 Best AI Agent Evaluation Platforms in 2026
Compare 13 AI agent evaluation platforms, including Braintrust, LangSmith, and Arize AX, on durability, trajectory depth, and pricing for 2026.
October 9, 2026
Ai Agent
Feature Store for ML: How It Fits in the Modern AI Stack
A feature store solves training-serving skew and enables feature reuse across ML teams. Here is how it works and what governance layer belongs above it.
October 9, 2026
Ai Agent
What is Genie Ontology? Databricks' live context layer
Genie Ontology is the Databricks live context layer, announced at DAIS 2026, that learns your business to power Genie with accurate answers at lower token cost.
October 9, 2026
AI Architecture
AI Memory vs RAG vs Knowledge Graph: Enterprise Context Guide
AI memory, RAG, and knowledge graphs are layers of the same stack, not alternatives. Learn the composition pattern, when to use each, and what governs them all.
October 9, 2026
AI Agents
Best AI Agent Memory Frameworks in 2026: Mem0, Zep, LangChain, Letta Compared
A comparison of the top AI agent memory frameworks in 2026 — Mem0, Zep, LangMem, Letta, and more — covering architecture, strengths, and enterprise fit.
October 9, 2026
Data Governance
Business Context for AI: What It Is and Why It's Missing
Business context for AI is the org-specific layer agents need to act correctly. Learn what it is, why it's missing, and how governed metadata closes the gap.
October 9, 2026
General
What Is a Business Context Layer?
What a business context layer is, why AI fails without it, and how to build one with governed definitions, ownership, metrics, and policies.
October 9, 2026
AI & Data Governance
The context layer for AI: what makes one work
A context layer for AI is the active infrastructure that delivers governed meaning, lineage, and policy to agents at decision time. See the 5 properties.
October 9, 2026
Databricks
Databricks Data Compliance: Enhancing Native Features With A Unified Control Plane For Data
Databricks data compliance sets the rules every AI agent inherits, so answers built on Databricks data stay governed across AWS, Azure, and GCP.
October 9, 2026
AI Agent Engineering
How to Test Your AI Agent Harness
Learn to test your AI agent harness with a six-layer stack: data validation, unit tests, integration, E2E simulation, adversarial testing, and CI/CD regression.
October 9, 2026
AI Readiness
Knowledge Graphs vs RAG: Which Fits Your AI Stack?
Knowledge graphs and RAG aren't rivals. See where each wins by query type, how GraphRAG combines them, and why your metadata decides if either works.
October 9, 2026
AI Readiness
Ontology vs. Semantic Layer: What Data Teams Need in 2026
Ontologies define domain concepts and relationships. Semantic layers map business logic onto data. Compare both and learn how Atlan connects them through a governed context layer.
October 9, 2026
Data Catalog
17 Best Data Catalog Tools in 2026: A Complete Buyer's Guide
Compare the 17 best data catalog tools of 2026, the platforms powering enterprise discovery, governance, and context layer infrastructure for AI teams.
October 8, 2026
Data Catalog
Best Data Catalogs for Microsoft Fabric (2026 Comparison)
The best data catalogs for Microsoft Fabric, ranked: Purview is the native baseline, then Atlan, Collibra, Informatica, and Alation, scored on six criteria.
October 7, 2026
Ai Agent
Coexist, Extend or Replace Purview: A Context Layer Framework
Should you replace Microsoft Purview or keep it and add a catalog on top? Most teams coexist or extend; replace is narrow. A scorecard for deciding your path.
October 7, 2026
