DigitalOcean Vector Databases
DigitalOcean Vector Databases: Broad managed hosting across Weaviate, OpenSearch, and PostgreSQL, starting at $15.15/month. Ranked #11 of 42 in Vector Database Hosting by our editors (8.3/10); pricing: Paid; best for managed vector hosting with backups.
At a glance
- Editor score8.3 / 10
- PricingPaid
- Best forManaged vector hosting with backups
- Free planNo
- Paid from$15.15/mo
- Facts checked22 Sep 2026
Where it wins
- Three managed engine choices for vector and hybrid search workloads
- Daily backups, point-in-time recovery, failover, and private networking
- API and CLI management with multi-region deployment support
Where it doesn't
- No free plan; paid options start at $15.15 per month
- Pricing, storage, limits, and regions vary by database engine
- Weaviate is in public preview
Our verdict on DigitalOcean Vector Databases
DigitalOcean Vector Databases provides managed clusters for storing embeddings and running vector similarity search. It supports Weaviate, OpenSearch, and PostgreSQL with pgvector and pgvectorscale, covering retrieval-augmented generation, semantic search, recommendation systems, and applications that combine vector search with relational or full-text search. Clusters can be provisioned and managed through the control panel, API, or command-line tools, with web, Linux, Windows, and macOS access. It fits teams that want managed infrastructure without committing to one database engine.
Pricing is engine-specific. PostgreSQL Standard Basic starts at $15.15 per month and includes 1 GiB RAM, 1 vCPU, a 10–30 GiB storage range, pgvector, and pgvectorscale. OpenSearch Basic costs $19.60 per month with 2 GiB RAM, 1 vCPU, 40–200 GiB of storage, k-NN, ML Commons, and Neural Search plugins. Weaviate Small costs $20 per month with 1 vCPU, 2 GB RAM, 3 GiB disk, and embedding storage included. Weaviate Medium is $120 per month, while Weaviate Large is $1,600 per month. There is no free plan, and each engine has different limits and regional availability.
The platform’s operational features make it suitable for production-oriented workloads: daily backups with point-in-time recovery, encryption, automated failover, private networking, and multi-region deployment are available. Search capabilities include HNSW and other approximate nearest-neighbor indexes, hybrid vector and keyword search, metadata filtering, and filtered similarity search. Integrations include OpenAI, Cohere, Hugging Face, and DigitalOcean Serverless Inference. Choose it for managed operations, backup coverage, and engine flexibility; choose another option if you need a single dedicated vector engine or a free starting tier.
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DigitalOcean Vector Databases pricing
All 5 DigitalOcean Vector Databases plans and prices →
DigitalOcean Vector Databases fact sheet
| Free plan | No |
|---|---|
| Paid from | $15.15/mo |
| Included storage | Not verified |
| Hybrid search | Yes |
| Metadata filtering | Yes |
| Serverless scaling | Yes |
| Deployment regions | Multi-region |
| Maximum dimensions | Not verified |
| Deployment | Cloud |
| Platforms | Web, Linux, Windows, macOS |
| Compliance & security | SOC 2, PCI DSS |
| Support | Tickets, Email, Live chat, Docs · 24/7 |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 4 integrations: OpenAI, Cohere, Hugging Face, DigitalOcean Serverless Inference |
| Pricing | Paid (source) |
| Website | digitalocean.com |
| Facts checked | 22 Sep 2026 |
DigitalOcean Vector Databases integrations
DigitalOcean Vector Databases lists 4 integrations on its own site.
- OpenAI
- Cohere
- Hugging Face
- DigitalOcean Serverless Inference
Alternatives to DigitalOcean Vector Databases
- ChromaA flexible vector database for hybrid retrieval, multimodal search, and self-hosted AI applications.9.4
- QdrantA flexible vector database for semantic, hybrid, and filtered search at scale.9.3
- WeaviateA flexible vector database for production hybrid search across cloud and self-managed deployments.9.1
See all DigitalOcean Vector Databases alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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