Sold by: Atlas - Schema as Code
Databases are super-critical to any business, but managing them correctly takes a lot of care and knowledge. To move fast with confidence, software engineering teams need a new way to declare, plan, simulate and deploy changes to database schemas. We are extremely excited to introduce Atlas Cloud, a business-oriented version of our successful open-source tool Atlas, used by thousands of people on a weekly basis. Our goal with Atlas is to make database schema management easy, safe, and fast.
2.5
Overview
Atlas Cloud is an online platform that supplements the Atlas CLI to allow teams to build robust, end-to-end schema management workflows. We built it to help teams make the most out of Atlas with as little friction and effort as possible.
Store your migration directories in a central location - Atlas Cloud allows you to push your migrations in a central location which greatly simplifies the process of deploying your migrations to production.
Continuous Integration - If you're not careful, it's easy to accidentally deploy a schema migration that breaks your application. Atlas Cloud automatically simulates and reviews your migrations during the CI process to ensure that your migrations are safe to deploy.
Deployments - Atlas Cloud seamlessly integrates with modern deployment tools like Kubernetes and Terraform to make it easy to deploy your migrations to production as part of your existing CD process.
Visibility - Atlas Cloud provides a single pane of glass to view the status of your migrations across all of your environments. You can also view the status of individual migrations to see which migrations have been deployed to which environments.
Highlights
- Schema Registry: Centralize schema changes with auto-generated documentation, akin to Docker Hub for databases.
- CI: Integrate schema changes into CI to catch issues like destructive changes and constraint violations before production.
- Deployment Visibility: Monitor schema changes in production environments with detailed logs for troubleshooting.
Details
Sold by
Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Atlas Pipelines Project | Add quota for an additional Atlas Pipelines project to your organization. Two target databases are included. | $59.00 |
Atlas Pro Seat | Grants one additional seat. | $9.00 |
Additional Target Database | Add quota for an additional target database on Atlas Cloud. | $39.00 |
Atlas Cloud Monitored Instance | Add quota for an additional monitored instance on Atlas Cloud. | $39.00 |
Dimensions summary
You buy Atlas as a contract made up of separate add-on quantities, not fixed tiers. Each dimension scales independently based on your usage. Add an Atlas Pipelines Project to run schema workflows in your CI/CD, with two target databases included per project. Add Atlas Pro Seats one at a time to cover each contributing developer. Add Additional Target Databases when you exceed the databases bundled with your projects. Add Atlas Cloud Monitored Instances to track more databases for drift detection and monitoring. You increase quantities per unit as your team and database footprint grow.
Top-of-mind questions for buyers
A seat is one Atlas Pro user in your account, whether they run Atlas locally or trigger it through your CI/CD pipeline. AI agents that trigger Atlas in CI also count as seats. Bot tokens and API keys do not count as seats.
Each Atlas Pipelines Project includes two target databases. When you exceed that, you add Additional Target Database units to raise your quota. Each added unit covers one more target database beyond those bundled with your projects. You buy these units separately as your database count grows.
These charges bill independently and add together. Pipelines Project units cover CI/CD schema workflows with two databases each. Additional Target Database units extend that quota. Monitored Instance units cover drift detection and schema observability on separate databases. Your project count and monitored footprint typically drive the largest portions.
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Get in touch with support using hello@ariga.io
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AI generated from product descriptions
Schema Registry
Centralized storage for schema changes with auto-generated documentation for database schemas.
Continuous Integration Testing
Automated simulation and review of database migrations during CI process to detect destructive changes and constraint violations before deployment.
Deployment Visibility
Single pane of glass interface to monitor and view the status of schema migrations across multiple environments with detailed deployment logs.
Migration Management
Central repository for storing and managing migration directories with simplified deployment process to production environments.
Deployment Tool Integration
Seamless integration with modern deployment platforms including Kubernetes and Terraform for automated schema migration deployment.
Multi-Database Platform Support
Supports SQL Server, Oracle, PostgreSQL, MySQL and 50+ additional database systems with unified governance and deployment controls
Policy-as-Code Enforcement
Implements policy-as-code checks and drift detection to validate every database change before production deployment, with complete audit trail from commit to production
Automated Script Generation
Provides automated SQL script generation for multiple database platforms to standardize database change authoring and reduce manual coding requirements
Object-Level Version Control
Maintains object-level version control with deterministic deployment scripts and complete change history tracking for compliance and auditability
CI/CD Integration
Integrates with GitHub, AWS CodeBuild, CodePipeline, Azure DevOps, Octopus Deploy, Jenkins, GitLab and AWS services including Secrets Manager, Lambda, EventBridge and Step Functions
Database Change Management
Create, version, deploy, roll back, and track database changes throughout the CI/CD pipeline
Code Validation and Compliance
Validate database code against predefined, customizable rules set by DBAs and security teams
Drift Detection and Security
Detect database drift and generate alerts to protect against malware and ransomware
CI/CD Pipeline Integration
Integrate database change automation into existing CI/CD workflows
Change Auditing and Traceability
Audit and trace database changes from development through production environments
Standard contract
No
Customer reviews
CalvinceOkello
Managing support tickets has become simpler but reporting and analytics still need improvement
Reviewed on Apr 08, 2026
Review from a verified AWS customer
What is our primary use case?
I mostly used Atlas by Ariga for support, so I didn't go deeper into the impact of its migration engine on schema evolution tracking within my projects.
What is most valuable?
What I appreciate about Atlas by Ariga is that it was very easy to use because it's user-friendly. Even the UI is not very complicated; it's very basic, so you cannot compare it to the big CRMs such as Zendesk or even Freshdesk in that sense. After implementing Atlas by Ariga, I wouldn't say that I have seen any significant positive impact apart from the general ease of handling many tickets in terms of volume at the same time. Besides that, there is no major impact that it has done, as it is just easing the support side of things.
What needs improvement?
Regarding weak points in Atlas by Ariga, the downside that I personally noticed is related to the data bit or analytics because I have used Zendesk Explore, and I'm trying to compare my experiences.
For how long have I used the solution?
I have been using the solution for about a year.
What do I think about the stability of the solution?
I did not notice any challenges with integration with other systems or third-party tools.
What do I think about the scalability of the solution?
I have not noticed any issues related to the scalability of this solution.
How are customer service and support?
I never had any issue that would have involved me with Atlas by Ariga support.
Which solution did I use previously and why did I switch?
In this year, I have not used any other solutions aside from Zendesk, though I touched on Atlas by Ariga a bit.
How was the initial setup?
The deployment of Atlas by Ariga was easy. It took a few hours for the deployment, approximately two to three hours, and the first time I did that was during my onboarding.
What about the implementation team?
The deployment was done by my tech team. Approximately two or three people took part in the installation and implementation of Atlas by Ariga.
What was our ROI?
I have not tracked any metrics after using Atlas by Ariga because I have not interacted with it on that level.
What's my experience with pricing, setup cost, and licensing?
It won't be convenient for me to answer a question about price or licensing cost, as I was not part of the decision-making process for that.
Which other solutions did I evaluate?
Atlas by Ariga is the product I'm referring to.
What other advice do I have?
I'm not very sure about how Atlas by Ariga was purchased, as I was just a user and never an admin. I have not used Atlas by Ariga on a declarative configuration system.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)