about atlas
Open-source leaders in database infrastructure
Ariga co-founder Ariel Mashraki created Ent at Meta. Ent is now a Linux Foundation project with more than 17,000 GitHub stars.
Ariga is an engineering-first company. Its database and infrastructure engineers and open-source maintainers build and operate Atlas.
Google, Meta, NVIDIA, Intel, and SAP use our open source, and customers in more than 60 countries run Atlas.
Talks and demos on YouTube ↗Board, investors, and advisors
Engineering-first
Ariga is led by the engineers who write its code.
Ariel MashrakiFounder and CEOCreated Ent at Meta
Works on Atlas, Ent, and Ent contrib. Contributed to Go, Kubernetes, and PostGIS.
a8m3,090 commitsRotem TamirCo-founder and advisor
Works on Atlas, Ent, and the Atlas Operator.
rotemtam681 commitsJannik ClausenHead of EuropeFounding Engineer
Works on Atlas, Ent, and the Atlas GitHub Action.
masseelch425 commitsGiau Tran MinhHead of AsiaFounding Engineer
Works on Atlas, the Atlas Operator, and the Atlas GitHub Action.
giautm765 commitsDat DaoSenior Team Lead
Works on the Atlas Operator, the Atlas GitHub Action, and Atlas.
datdao159 commitsNoam CattanSenior Team Lead
Works on Atlas, the Atlas Operator, and the Atlas GitHub Action.
noamcattan87 commits- Join the teamAcross the US, Israel, Germany, and Vietnam
Our open source is used by
- Test and Profile Migrations on Production-Like DataSchema and migration tests can load production snapshots or synthetic rows with dataset blocks, and the --profile flag measures what each statement does over them.
- Data ScriptsMask Entities in Free TextA mask with entities masks the emails, phone numbers, card numbers, and other entities found in a value, and keeps the rest of the text.
- SnowflakeTag-Based Masking PoliciesAtlas now manages tag-based masking on Snowflake: set masking policies on a tag, and every column that carries the tag is masked by the policy for its data type.
- SnowflakeData Metric FunctionsAtlas now manages Snowflake data metric functions with the new data_metric_function block.
- DatabricksTag SupportAtlas now manages Databricks tags on schemas, tables, views, materialized views, and metric views, and on the columns of tables, views, and materialized views, declared with the tags attribute of each object.
- PostgreSQL 19: Security Changes and Preparing with Atlas
Noa RogoszinskiPostgreSQL 19 ships November 19 and PostgreSQL 14 is end of life.
- ClickHouse CVEs: Find Vulnerable Servers with Atlas
- The AI-Native SDLC Playbook Stops at the Database
- The Myth of Down Migrations; Introducing Atlas Migrate Down
- The Hard Truth about GitOps and Database Rollbacks
WebinarOctopus Deploy
GitOps meets databases: schema management with Codefresh and the Atlas Operator
Length 48:07Webinar · Octopus DeployGitOps meets databases: schema management with Codefresh and the Atlas Operator
Length 5:13Demo · AtlasAtlas Cloud CLI: database context for AI agents
Length 29:09Talk · DevOpsDays Warsaw 2023Schema-as-code: developer platforms and database schema changes
Length 8:06Demo · AtlasDatabase CI/CD pipelines with Argo CD and Atlas
Length 2:49Demo · AtlasBootstrap an Atlas project from an existing PostgreSQL schema
Length 17:53Tutorial · DevOps & AI ToolkitHow to inspect, plan, and migrate database schemas with Atlas
Open core
Community and Pro editions
Atlas follows an open-core model: core features are available under the Apache 2.0 license, and the Pro edition adds enterprise databases, enhanced linting, and Atlas Cloud.
Community
Join the Atlas community
Get help, report issues, and follow what ships in Atlas.
Press
Read about us
Careers
Open positionsariga.io ↗Make your next migration boring.
Atlas plans, checks, and tests every change before it merges, whether a person or an agent wrote it.
“Atlas enables our team to efficiently and safely manage our application schema. With features like linting, automated migrations for our ORM, and Kubernetes support, it seamlessly integrates into our development ecosystem.”
Michael Caulley, Software Engineering Lead
“We’ve been using Atlas for >1 year now and we still love it.”
Tiago Mendes, Senior Software Engineer
“Generating and applying migrations is very straight-forward. A powerful and elegant tool, we are now integrating Atlas into our GitHub workflows. Atlas is a natural extension of the tools we already use and a joy to work with!”
Noreen Wu, Senior Software Engineer
“We have not spent any time working on maintaining our schema migration tooling. It's all taken care of by Atlas.”
Raunak Kathuria, VP of Engineering
“We haven't had any database locking or migration issues since we've rolled out Atlas.”
Ken Koch, Director of Engineering
Health in Tech
“Everybody should be using Atlas.”
Kevin Hochhalter, VP of IT Operations
“It connects to our models and people don't even have to think about migrations, they just happen.”
Omri Tcherner, Engineering Team Lead
“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
“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
“Having a lot of database schemas but only one tool to manage them all makes our lives so much easier.”
Kaushik Shanadi, Chief Architect
“I don't feel afraid to hit the approve button and pack up and go home for the day.”
Maciej Bukczynski, Director of Technology
“I rely on Atlas because I know it works and it gets the job done.”
Hicaro Adriano, Principal Software Engineer
“We wanted to have a source of truth in code. Since we use Terraform, we wanted something similar that everybody would already feel comfortable with.”
Yoni Sade, DBA
“Month over month, we see smaller and smaller incidents.”
Luiz Casali, Senior Engineering Manager
“The tool has been promising so far, helping us manage migrations, detect schema drift, and enforce best practices across projects.”
Beatriz De Miguel Pérez, Aircall