AlloyDB for PostgreSQL
AlloyDB for PostgreSQL: A managed PostgreSQL service for demanding transactional, analytical, and AI workloads. Ranked #13 of 37 in Relational Databases by our editors (8.2/10); pricing: From $0.07 · 30-day trial; best for analytics-oriented managed PostgreSQL.
At a glance
- Editor score8.2 / 10
- PricingFrom $0.07 · 30-day trial
- Best forAnalytics-oriented managed PostgreSQL
- Free planNo
- Deployment modelCloud
- Founded2022
- Facts checked20 Sep 2026
Where it wins
- Columnar engine supports analytical queries
- Cross-region replication and automatic failover support availability
- Vector search and AI model integration are built in
Where it doesn't
- No free plan is available
- Consumption pricing includes separate compute, memory, storage, and networking costs
- Designed for Google Cloud rather than broad multi-cloud deployment
Our verdict on AlloyDB for PostgreSQL
AlloyDB for PostgreSQL is a fully managed relational database service for organizations running demanding transactional, analytical, and AI-enabled applications on Google Cloud. It provides PostgreSQL compatibility while separating compute and storage, so teams can use managed infrastructure instead of operating PostgreSQL themselves. The service is available through web and API interfaces, with AlloyDB Studio providing a SQL interface for database work.
Pricing is consumption-based rather than organized into fixed plans. The published starting rate is $0.06608 per vCPU hour, and a 30-day free trial is available. Actual cost also includes memory, storage, backups, and networking, so the entry compute rate is not a complete estimate of deployment cost. There is no free plan. This model fits teams that want usage-based billing and managed operations, but buyers should account for the full resource mix when comparing it with self-managed PostgreSQL or fixed-price services.
Its strongest distinction is the combination of PostgreSQL compatibility with analytical and AI-oriented capabilities. A columnar engine supports analytical queries, while an index advisor and adaptive database optimization target query performance. Vector search and in-database AI model integration extend the database toward AI-enabled applications. Read pools, read replicas, automatic and continuous backups, high availability with automatic failover, and cross-region replication address scaling and resilience needs. Integrations with Google Cloud IAM, Vertex AI, BigQuery, Cloud Storage, and Database Migration Service make it a natural fit for Google Cloud environments. Choose AlloyDB when managed PostgreSQL, analytics, and AI features matter together; consider alternatives if you need a free plan, fixed pricing, or a deployment model beyond Google Cloud.
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AlloyDB for PostgreSQL pricing
AlloyDB for PostgreSQL fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Deployment model | Cloud |
| Managed service | Yes |
| High availability | Yes |
| Read replicas | Yes |
| Backup retention | 14 days |
| JSON data support | Yes |
| Maximum connections | 1000 connections |
| Free trial | 30 days |
| Deployment | Cloud |
| Platforms | Web |
| Integrations | 5 integrations: Google Cloud IAM, Vertex AI, BigQuery, Cloud Storage, Database Migration Service |
| Pricing | From $0.07 · 30-day trial (source) |
| Website | cloud.google.com |
| Facts checked | 20 Sep 2026 |
AlloyDB for PostgreSQL integrations
AlloyDB for PostgreSQL lists 5 integrations on its own site.
- Google Cloud IAM
- Vertex AI
- BigQuery
- Cloud Storage
- Database Migration Service
Alternatives to AlloyDB for PostgreSQL
- PostgreSQLA free, extensible relational database for production workloads and technical teams.9.4
- MySQLA versatile open-source SQL database with replication, JSON, connectors, and failover.9.3
- Oracle DatabaseA mature enterprise database with unusually broad data-model and availability capabilities.9.2
See all AlloyDB for PostgreSQL alternatives →
Also Ranked In
AlloyDB for PostgreSQL is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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