AI TOOL PROFILE
Atlas | Manage your database schema as code
- Software Development
- Database Management
- Software companies
- DevOps teams
- Database administrators
- Platform engineers
Pricing
Atlas offers a free Starter tier. The Pro tier starts at $9 per developer per month and $59 per month per CI/CD project. Enterprise pricing is custom for organizations starting from 20 databases. Additional monitoring costs $39 per month per database.
At a glance
- Best for
- Software companies, DevOps teams, Database administrators, Platform engineers
- Key use cases
- Automating Schema Migrations, Database Governance, Multi-Tenant Database Management, Pre-deployment Verification
- Integrations
- GitHub Actions, GitLab CI, CircleCI, Bitbucket Pipes, Azure DevOps
- Official website
- Visit atlasgo official website

How AI is used
Atlas is a language-agnostic tool for managing and migrating database schemas. It allows developers to define their database state using HCL, SQL, or ORM models, treating the schema as code that can be version-controlled in Git and reviewed via pull requests.
The platform is designed for software development teams and database administrators to reduce manual schema changes. It supports a range of database engines, including PostgreSQL, MySQL, SQLite, MariaDB, SQL Server, ClickHouse, Oracle, and Snowflake.
Key functional areas include migration linting to identify potential destructive changes before they reach production and schema monitoring to detect drift. It also includes an AI assistant to help generate unit tests and resolve migration issues.
Buyers should confirm if their specific database engine is supported and determine if they require the Pro tier for automated CI/CD integration and security guardrails.
Key Features
Automatic Migration Planning
Calculates the steps to move a database from its current state to a desired schema state.
Migration Linting
Analyzes migrations for risks such as destructive changes, table locks, or data loss.
Schema-as-Code
Supports defining schemas using SQL, HCL, or ORM models for version control and GitOps workflows.
Drift Detection
Monitors live databases to identify when the actual schema deviates from the declared state.
Atlas Copilot
An AI assistant that helps with project setup, resolving migration errors, and generating unit tests.
Security as Code
Supports the definition of database roles, users, and permissions as code for review and auditing.
Use Cases
Automating Schema Migrations
Using declarative workflows to plan and execute database changes through CI/CD pipelines.
Database Governance
Defining and enforcing schema policies and access controls to support compliance and security.
Multi-Tenant Database Management
Managing schemas across multiple tenants using database-per-tenant or schema-per-tenant architectures.
Pre-deployment Verification
Using safety checks and linting to identify potential blocking table locks before deployment.
Integrations
- GitHub Actions
- GitLab CI
- CircleCI
- Bitbucket Pipes
- Azure DevOps
- Kubernetes Operator
- Terraform
- ArgoCD
FAQ
Which databases are supported by Atlas?
- Atlas supports multiple engines, including PostgreSQL, MySQL, SQLite, MariaDB, SQL Server, ClickHouse, Oracle, and Snowflake.
How does the pricing work for teams?
- The Pro tier starts at $9 per month per developer, with CI/CD projects starting at $59 per month (including 2 databases). Additional monitored databases cost $39 per month each.
Is Atlas compliant with security standards?
- Atlas is SOC2 compliant and provides built-in security guardrails and audit trails.
What is the difference between the Starter and Pro plans?
- The Starter plan is free and provides basic migration planning and ORM integration, while the Pro plan adds automated CI/CD integration, migration linting, and drift detection.
Source category: Software Development
Source subcategory: Database Management
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