Ai Agent
AI Context Platforms: A Complete Guide for Data Teams
An AI context platform helps enterprises build, govern, and deliver the business context AI agents need to act accurately. Here's your complete guide for 2026.
August 25, 2026Articles & tutorials
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Ai Agent
Salesforce Agentforce vs. Independent Context Layer
Compare Salesforce Agentforce's native context stack with an independent context layer and see when CRM-bound grounding needs to extend beyond Data Cloud.
August 24, 2026
Ai Agent
Reverse ETL vs. Salesforce Data Cloud Zero Copy
Compare reverse ETL tools like Hightouch and Census with Salesforce Data Cloud Zero Copy, then see what makes that data trustworthy for Agentforce.
August 24, 2026
Ai Agent
What Is Salesforce Data Governance?
Salesforce data governance covers four access layers, Shield, and Data 360 Policy-Based Governance, but none of it travels once data leaves the CRM.
August 24, 2026
Ai Agent
Amazon Neptune vs a Data Catalog: When to Use Each
See when Amazon Neptune's graph database earns its place over a data catalog like AWS Glue Data Catalog or DataZone, and where AWS already runs both together.
August 24, 2026
Ai Agent
Automated SQL Lineage vs Manual Lineage Mapping
See how automated SQL lineage compares to manual lineage mapping: how each is built, where each breaks, and why AI agents need lineage that stays current.
August 24, 2026
Ai Agent
Amazon Neptune vs a Knowledge Graph Context Layer for AI
Amazon Neptune stores and queries graphs at scale, but a knowledge graph context layer decides what those connections mean and who can retrieve them.
August 24, 2026
Ai Agent
SAP Master Data Governance vs a Modern Data Catalog
SAP Master Data Governance and a data catalog solve different problems: who can write a record, and what already exists. Here's where each fits for AI agents.
August 24, 2026
Ai Agent
Why Do Data Governance Implementations Fail?
Data governance fails from three compounding causes: weak sponsorship, compliance-only process, and stale catalogs, per Gartner and Forrester research.
August 19, 2026
Ai Agent
Metadata Tooling Build vs Buy: Evaluation Criteria
Should you build metadata tooling in-house or buy a platform? Seven criteria enterprise architects can use to decide, plus what a fair RFP requires.
August 19, 2026
Ai Agent
Build vs Buy a Knowledge Assistant: The Context Layer Underneath
Compare the real cost of building vs buying an internal knowledge assistant, including the ongoing burden of retrieval quality, permissions, and freshness.
August 19, 2026
Ai Agent
RAG vs Context Layer for Internal Assistants: What Breaks
RAG can leak permissions and serve stale answers in internal knowledge assistants. See the four failure modes and when a context layer fixes them.
August 19, 2026
Ai Agent
Text-to-SQL with AI: How It Works and Where It Breaks
See how text-to-SQL AI turns natural language into SQL, why schema linking and join hallucination cause silent errors, and what guardrails production needs.
August 19, 2026
Ai Agent
Context Layer vs Data Catalog vs Semantic Layer: What Differs
A data catalog, semantic layer, and context layer solve different problems. See how they stack, when you need each, and where teams get it wrong.
August 19, 2026
Ai Agent
Text-to-SQL vs Semantic Layer for Self-Serve Analytics
Text-to-SQL vs semantic layer for self-serve analytics: see which pattern fits your use case, the governance risk each one hides, and why they converge.
August 19, 2026
AI Context
What Is the Context Conference?
The Context Conference is Atlan's virtual event on AI context, October 28, 2026. See the agenda, who is speaking, and how it differs from Activate.
August 19, 2026
Data Governance
Benefits of Data Governance on AWS: What AWS Documents, and What a Context Layer Adds for AI Agents
AWS names four benefits of data governance. Its 2026 agent guidance names a fifth: the runtime context an AI agent reads before it acts. Here is what changed.
August 18, 2026
Ai Agent
AWS Glue and DataZone vs a Cross-Cloud Context Layer: What Survives the AWS Boundary
AWS shipped three documented exits from its native governance stack since November 2025. See what crosses the AWS boundary to a context layer and what does not.
August 18, 2026
Data Governance
Business Process and Policy Management Software: What It Governs, and What the Context Layer Has to Govern Instead
Business process and policy management software names two markets, not one. See what each one governs, where its reach ends, and what has to govern the query.
August 18, 2026
RDBMS
What Is RDBMS? The Relational Model, ACID, and Why It Keeps Winning
A relational database management system stores data as related tables queried with SQL. Codd defined the model in 1970; PostgreSQL reaches 55.6% of developers.
August 18, 2026
Context Layer
Data Catalog vs Master Data Management: Where Each One Fails, and What Your Context Layer Needs From Both
Data catalog vs master data management, compared by where each one fails: MDM at write time, the catalog at read time, and how to tell which failure you have.
August 17, 2026
Ai Agent
DataZone vs Atlan: Where AWS-Native Governance Stops and a Context Layer Starts
Amazon DataZone catalogs and governs inside AWS. See where its automated context capture stops, when DataZone alone is enough, and how Atlan layers above it.
August 17, 2026
Ai Agent
AWS DataZone vs Glue Data Catalog: Which One Do You Need?
See how AWS DataZone and Glue Data Catalog differ, when AWS-native teams need one or both, and why AWS's new AI-agent fixes still stop at the cloud boundary.
August 17, 2026
Ai Agent
Google Knowledge Catalog and the Enterprise Context Layer: Which Layer Is Authoritative for BigQuery
Knowledge Catalog is authoritative for what Google Cloud can observe on BigQuery. An enterprise context layer is authoritative for what your business agreed.
August 17, 2026
