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"Everybody should be using Atlas. If anyone is still trying to manage their database objects in some more traditional way, they really need to get on board and start using Atlas."

– Kevin Hochhalter, VP of IT Operations, Health in Tech

Company Background​

Health in Tech (Nasdaq: HIT) is an AI-driven insurtech company that automates and streamlines self-funded health insurance plans for small and medium-sized businesses. Through integrated platforms like its eDIYBS quoting engine and HI Card claims system, Health in Tech reduces administrative friction across underwriting, risk management, and network pricing workflows, letting brokers, carriers, and third-party administrators design, price, and bind customized health plans within minutes.

Hey everyone!

We're excited to announce Atlas v1.3. This release delivers on a promise we made in v1.2: the security graph is now live in Atlas Cloud, mapping your entire database attack surface. It also introduces Atlas Scripts for running data operations as code, safer and faster migrations, and a new command group for working with the Atlas Registry from the CLI.

Here is what you can find in this release:

• Security Graph for Databases - Map your entire database attack surface: permissions, misconfigurations, and CVEs across every object, with severity tiers and blast-radius tracing.
• Atlas Scripts: DataOps as Code - Backfills, GDPR purges, and reports declared as code: transactional mutations, masked queries, and batched loops, reviewed and tested in CI.
• atlas cloud: Manage Registry Resources from the CLI - Repositories, databases, and deployment history from the terminal, with JSON output for scripts, CI gates, and AI agents, plus security graph and lineage graph exports.
• Schema Annotations - Attach type-safe metadata to schema resources and render GraphQL, OpenAPI, or any other format from it with templates.
• Pre-Apply Drift Detection - Block a deployment when the database drifted from the expected state, with the diff printed before any statement runs.
• Database Driver Improvements - Lock-safe NOT NULL and 8x-10x faster schema tests on PostgreSQL, Oracle roles and storage, Snowflake Iceberg tables, ClickHouse row policies, and more.
• Simpler Licensing and No AI Training - One agreement replaces the separate EULA and SaaS terms, with a written commitment that we never train AI models on your data.

Company Background​

Aryon Security is a preventative cloud security platform that enforces security policies at the point of deployment, stopping misconfigurations before they ever reach production rather than flagging them after the fact. Acting as a source-agnostic gatekeeper across AWS, Azure, and GCP, Aryon applies the same protection whether infrastructure is provisioned through IaC, ClickOps, or third-party providers, letting security and platform teams define a policy once and ensure only compliant infrastructure is ever deployed.

"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.