"The biggest win of any tool is when you don't need to look at it ever again and it just works."

– Wai Ho Choy, Infrastructure Lead, Gumloop

Company Background​

Gumloop is a collaborative platform that empowers anyone in a company to build AI agents using their preferred models and integrations, while giving IT enterprise-grade visibility and control. Whether these agents are deployed in Gumloop's secure environment or within your own infrastructure, your data always stays entirely in your systems.

Company Background​

EliseAI transforms complex housing and healthcare systems, helping property managers and healthcare providers handle leasing, maintenance, and resident engagement. By deeply integrating into workflows and automating operations, it cuts costs for all parties. EliseAI powers 1 in 6 rental apartment units in the U.S., processing hundreds of thousands of messages and thousands of voice calls per day.

"Atlas just works behind the scenes. We don't need to pay attention to it – we can trust that it's getting the job done."

– Armon Avrahamy, CTO and Co-Founder, Wenrix

Company Background​

Wenrix is the AI infrastructure for profitable growth in air. Since 2018, leading travel agencies have relied on Wenrix to help them grow revenue, protect margin, and scale more efficiently in an increasingly complex and competitive air retail landscape.

Testing your database schema shouldn't be an afterthought. Automating checks on your objects, constraints, and functions is critical to catching breaking changes before they hit production.

Enter pgTAP—which relies on traditional runtime assertions in an ephemeral database—and Atlas—which leverages a modern, declarative approach. This post breaks down how both tools handle schema testing and explains when you should swap out heavy runtime assertions for Atlas's lightweight lint rules.

As of April 2026, MySQL 8.0 has reached End of Life (EOL), marking a critical security and operational milestone. When a database reaches EOL, the safety net is pulled away. Oracle will no longer release security patches, bug fixes, or performance improvements for the community edition. If a vulnerability is discovered tomorrow, your 8.0 instances will remain exposed.

In this post, we’ll explore what this means and how cloud platforms are responding to it.

As AI agents become staples in modern development workflows, automating everything from code reviews to complex schema migrations, the industry is hitting a critical inflection point. While the productivity gains are undeniable, the risks have become equally prominent. We are now seeing a recurring cycle of horror stories where unchecked agents inadvertently wipe production databases or trigger catastrophic outages.

The momentum of AI integration isn't slowing down, but the margin for error has vanished. To keep pace without compromising integrity, engineering teams must move beyond blind trust and implement robust safeguards to defend their infrastructure against "rogue" AI behavior.

To truly neutralize the risk of rogue AI, teams must pivot to Policy as Code. By codifying your governance directly into CI/CD pipelines, you shift from hoping for compliance to guaranteeing it, ensuring that every schema change is programmatically validated before it ever touches production.

Hey everyone!

We're excited to announce Atlas v1.2. This release brings column-level data lineage to Atlas Cloud, registry backups to your own cloud storage, a schema ownership policy for CI, and expanded database coverage.

Here is what you can find in this release:

• Column-Level Data Lineage - Trace how columns are derived from upstream sources across tables, views, and datasets in Atlas Cloud.
• Offline Access & Registry Backups - Back up Atlas Registry repositories to S3, GCS, or Azure Blob Storage. Atlas Pro license grants are cached in CI/CD environments, so your pipeline never has a single point of failure.
• Schema Ownership Policy - Enforce which GitHub users and teams can modify specific schema objects, closing the gap between CODEOWNERS and DDL access control.
• Database Driver Improvements - PostgreSQL routine permissions, user-mapping, and default ACLs; Snowflake tasks and pipes; Oracle UDTs; Expanded permissions for MSSQL, MySQL, and ClickHouse.

We're excited to announce Atlas v1.1.

This release delivers on a promise we made in v1.0: Database Security as Code is now available for Atlas Pro users.

We're also shipping declarative data management for lookup tables and seed data, expanding database coverage with Aurora DSQL, Azure Fabric, and CockroachDB Cloud, and further improving our drivers and Atlas Cloud.

Here is what you can find in this release:

• Database Security as Code - Manage roles, users, and permissions declaratively across various popular Atlas-supported databases.
• Declarative Data Management - Define lookup tables and seed data as code using various sync modes.
• Aurora DSQL Support - Manage schemas on AWS's new serverless distributed SQL database.
• Azure Fabric Support - Use Atlas to manage your Microsoft Azure Fabric databases.
• Spanner Enhancements - Added support for Spanner's PostgreSQL dialect and vector indexes.
• ClickHouse Improvements - Cluster mode and data retention on table recreation.
• CockroachDB Support - Full Atlas support for CockroachDB Cloud and self-hosted deployments.
• PostgreSQL Enhancements - CAST definitions and replica identity support.
• Slack Integration - Connect to our native Slack app for real-time notifications.
• Schema Exporters - Declarative export for schema inspection, drift and diff reporting, and more.

We're excited to announce Atlas v1.0 - just in time for the holidays! 🎄

v1.0 is a milestone release. Atlas has been production-ready for a few years now, running at some of the top companies in the industry, and reaching 1.0 is our commitment to long-term stability and compatibility. It reflects what Atlas has become: a schema management product built for real production use that both platform engineers and developers love.

Here's what's in this release:

• Monitoring as Code - Configure Atlas monitoring with HCL, including RDS discovery and cross-account support.
• Schema Statistics - Size breakdowns, largest tables/indexes, fastest-growing objects, and growth trends over time.
• Declarative Migrations UI - A new dashboard for databases, migrations, deployments, and status visibility.
• Database Drivers - Databricks, Snowflake, and Oracle graduate from beta to stable; plus improvements across Postgres, MySQL, Spanner, Redshift, and ClickHouse.
• Deployment Rollout Strategies - Staged rollouts (canaries, parallelism, and error handling) for multi-tenant and fleet deployments.
• Deployment Traces - End-to-end traceability for how changes move through environments.
• Multi-Config Files - Layer config files with -c file://base.hcl,file://app.hcl.

Hi everyone!

We're excited to share with you the release of Atlas v0.38, filled with many new features and enhancements for you to try.

• Oracle Triggers and Views - We've expanded the support for Oracle schemas to include triggers and views.
• Snowflake Additions - Our library of supported resources for Snowflake has also expanded with the additions of stages, external tables, hybrid tables, and dynamic tables.
• Google Spanner Additions - Spanner users can now manage geo-partitioning placements, locality groups, sequences, and change streams with Atlas.
• Expanded Analyzer Detection - Our linting analyzers now detect SQL injections in SQL schema and migration files, and incorrect usage of transactions in migration files.
• HTTP Data Source - Users can now use HTTP endpoints as data sources in the Atlas configuration file.
• PII Detection - Objects containing potentially sensitive or PII data can now be automatically or manually tagged in the Atlas Registry.
• Pre/Post-migration Hooks - Pre- and post-migration hooks enable teams to run custom logic before and after applying migrations.
• Atlas Monitoring - The Atlas Agent can now automatically discover and monitor RDS instances across multiple AWS accounts using IAM role assumption.
• Azure DevOps Repos CI/CD Integration - Atlas now provides native integration with Azure DevOps Pipelines and Azure Repos, including a dedicated Azure DevOps extension for seamless database schema CI/CD workflows.