Automated database platform for PostgreSQL®
Open source alternative to cloud-managed databases (your own DBaaS)
Automated Self-Managed Database
A powerful alternative to cloud-managed databases like Amazon RDS, Google Cloud SQL, Azure Database, and more — offering a fully automated, self-managed database experience. Automate failover, backups, restores, upgrades, scaling, and more with ease.
High-Availability Postgres Cluster
Ensure uninterrupted operation of your PostgreSQL databases with built-in replication and automated failover. Our solution guarantees minimal downtime, protecting your data from unexpected failures and ensuring continuous service availability.
Enterprise-ready, Cloud and On-Premises
Deploy and manage production-ready PostgreSQL clusters across any infrastructure — physical servers, VMs, on-premises, or cloud. Enjoy multi-cloud Postgres without vendor lock-in, giving you complete control and scalability.
Available on multiple cloud providers
HOW IT WORKS
Open Source Relational Database
PostgreSQL is a powerful, open source object-relational database system with over 35 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. More and more companies around the world are choosing it for their new products, or migrating from other database systems to PostgreSQL. It has been ranked as the DBMS of the Year multiple times, and its popularity continues to grow, as illustrated by the DB-Engines ranking trend:
PostgreSQL is an outstanding database, but unlike commercial solutions, it lacks built-in tools for high availability (auto-failover), monitoring dashboards, and a graphical management console. While this may seem like a limitation, the open-source ecosystem offers flexible solutions to meet these needs. However, integrating these tools into a robust enterprise cluster requires significant PostgreSQL expertise to ensure a reliable, production-ready solution.
To bridge this gap, the automation toolkit was developed in 2019 for personal use, and later shared with the community. It handles the deployment of high-availability clusters (based on Patroni) and addresses management tasks such as minor and major upgrades, backup configuration with support for automated restore a database to a point in time (PITR), and cluster scaling with horizontal read load distribution across replicas, among many other features.
The project has been around for over 5 years and is used by companies worldwide. It continues to actively evolve and improve, leveraging the practical experience of PostgreSQL experts (DBA) who use our product to manage database clusters in production environments for mission-critical, high-load databases.
The project is solely funded by sponsors who choose to support it voluntarily or to gain access to personalized support.
Pricing
Each Autobase package includes a DBA as a Service (DBAaaS), providing your database cluster with a dedicated PostgreSQL expert (DBA). You will get access to a private Slack channel for direct communication and support.
Basic
$300/month
- ✔ Autobase automation tools
- ✔ Up to 2 PostgreSQL clusters
- ✔ PostgreSQL Consulting
- ✔ 1 hour of DBA per month
- ✔ Support response time: 12-48 hours
The basic Autobase package includes assistance with initial deployment and seamless integration into your infrastructure.
Standard
$1000/month
- ✔ Autobase automation tools
- ✔ Up to 20 PostgreSQL clusters
- ✔ PostgreSQL Consulting
- ✔ Up to 5 hours of DBA per month
- ✔ Database Cluster Management (upon request)
- ✔ Support response time: 4-12 hours
For small businesses and startups looking to ensure continuous maintenance and support for their database clusters.
Professional
$2500/month
- ✔ Autobase automation tools
- ✔ Up to 100 PostgreSQL clusters
- ✔ PostgreSQL Consulting
- ✔ Up to 10 hours of DBA per month
- ✔ Database Cluster Management
- ✔ Monitoring (health checks)
- ✔ Performance Optimization
- ✔ Support response time: 1-4 hours
For organizations, that face unique challenges in managing large-scale, high-load databases or numerous database clusters.