Atlas
Database DevOps software
DevOps software
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What is Atlas
Atlas is a database schema management and migration tool used to plan, version, and apply database changes through development and deployment workflows. It targets application developers and DevOps teams that want database changes to follow similar practices as application code (review, CI/CD, and repeatable deployments). Atlas centers on a declarative schema approach and can generate migration plans by comparing desired state to the current database. It is commonly used to reduce manual SQL change handling and to standardize database change processes across environments.
Declarative schema workflow
Atlas supports defining the desired database schema and computing changes needed to reach that state. This can reduce reliance on hand-written, sequential migration scripts for every change. It also helps teams reason about drift between environments by comparing actual vs. intended schema. The approach aligns with infrastructure-as-code style workflows used in DevOps.
Migration planning and diffing
Atlas can generate an execution plan by diffing schemas, which helps teams understand what will change before applying it. This is useful for code review and CI checks where database changes need to be inspected. Compared with tools that focus primarily on running pre-authored scripts, automated planning can speed up iteration for routine schema edits. It also supports repeatable application of changes across multiple environments.
Fits CI/CD database changes
Atlas is designed to be used in automated pipelines where schema changes are validated and applied as part of releases. Teams can integrate it into build and deployment steps to keep database changes synchronized with application releases. This supports auditability through version control and pipeline logs. It is particularly relevant for teams adopting database DevOps practices alongside application DevOps.
Requires workflow adoption
Teams need to adopt a declarative schema and planning model, which can differ from established migration-script practices. Existing projects may require refactoring how schema changes are authored and reviewed. Organizations with strict change-management processes may need to adjust approvals and controls to fit the new workflow. This can increase initial rollout effort.
Database feature coverage varies
Support for specific database engines and advanced features (for example, vendor-specific DDL, extensions, or complex refactors) can vary by version and connector. Some changes may still require manual SQL or careful review to ensure the generated plan matches intent. Teams working across multiple database platforms may need additional testing to confirm consistent behavior. This can limit standardization in heterogeneous environments.
Operational safeguards depend on setup
Safe rollout patterns (such as pre-deployment checks, gating, and rollback strategies) depend on how Atlas is integrated into CI/CD and operational processes. Database rollbacks are inherently constrained for many schema changes, and Atlas does not eliminate that risk. Teams may need complementary practices like backups, blue/green strategies, or online migration patterns. Without these, automated deployments can still introduce production risk.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free (M0) | $0 (free-forever) | 512 MB storage, 32 MB sort memory, up to 100 operations/sec; intended for learning/exploration. |
| Flex | $0.011 per hour (up to $30/month) | Designed for development & testing; includes 5 GB storage; shared RAM and vCPU; predictable capped pricing. |
| Dedicated | $0.08 per hour (starts at $56.94/month) | For production workloads (M10+); 10 GB to 4 TB storage; 2 GB to 768 GB RAM; 2 to 96 vCPUs; supports replica sets and sharded clusters. |
| App Services (usage-based) | Monthly free tier then pay-as-you-go (examples below) | Shared monthly free quota: 1M requests or 500 hours compute or 10,000 hours sync, plus 10 GB transfer; beyond free quota billed per usage. |
Additional usage-priced services (examples from official pricing):
- Atlas Data Federation: $5 per TB processed (10 MB minimum per query).
- App Services examples: Compute: $10 per 500 hours of request runtime; Sync: $0.08 per 1M minutes of Sync runtime; Requests: $2.00 per 1M application requests; Egress: $0.12/GB.
(Values and features taken directly from MongoDB Atlas official pricing pages and docs.)
Seller details
Ariga, Inc.
Tel Aviv, Israel
2021
Private
https://atlasgo.io/
https://x.com/ariga_io
https://www.linkedin.com/company/ariga/
