Database Labs review
Dedicated PostgreSQL hosting with backups, recovery, monitoring, and cloud choice from $19 monthly.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Database Labs provides fully managed PostgreSQL hosting for teams that want dedicated cloud database instances without handling routine configuration, security patches, monitoring, or backups themselves. Customers can provision databases on Google Cloud, Amazon Web Services, or DigitalOcean, then manage them through a web console or REST API. The service also includes team administration, shared billing, PostGIS, and other common PostgreSQL extensions, making it a focused option for relational workloads built around PostgreSQL.
Pricing is organized by tier and cloud provider. The Hobby plans cost $19 per month on Google Cloud, Amazon AWS, or DigitalOcean and include a managed PostgreSQL database. Startup costs $99 per month on Google Cloud and $129 per month on Amazon AWS or DigitalOcean. Growth costs $369 per month on Google Cloud and $499 per month on Amazon AWS; the published plans also show provider-specific pricing differences across tiers. The plans are billed monthly, with pricing based on database resources. Email support is available across the plans, while phone support is included on larger plans.
The service’s strongest fit is operational coverage around a dedicated PostgreSQL instance: continuous offsite backups, point-in-time recovery, 24/7 operational monitoring, managed security patches, and database management through both a console and API. Its cloud choices can suit teams already working with Google Cloud, AWS, or DigitalOcean, while PostGIS support helps location-aware PostgreSQL workloads. Database Labs is less suitable for buyers seeking automatic scaling, a broader selection of database engines, or a platform centered on read replicas and high-availability failover. Teams that want a narrowly focused PostgreSQL service with recovery and maintenance handled for them should consider it.
Database Labs pros and cons
- Where it wins
- Dedicated instances across three major cloud providers
- Continuous offsite backups with point-in-time recovery
- Web console, REST API, monitoring, patches, and extensions
- Where it doesn't
- Scaling is manual rather than automatic
- Focused on PostgreSQL rather than multiple database engines
- Phone support is reserved for larger plans
Database Labs fact sheet, pricing and score →
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