DigitalOcean Vector Databases Features
Validated on 27 Apr 2026 • Last edited on 27 Apr 2026
DigitalOcean Vector Databases are managed clusters purpose-built for vector similarity search, supporting Weaviate, OpenSearch, and PostgreSQL (pgvector) for retrieval-augmented generation (RAG), semantic search, and other AI workloads.
DigitalOcean Vector Databases offer the following features by engine:
| Feature | Weaviate (private preview) | OpenSearch | PostgreSQL (pgvector) |
|---|---|---|---|
| Core ANN index | HNSW (native) | HNSW (Lucene, Faiss) | HNSW, IVFFlat |
| Disk-resident ANN index | Not available | Not available | StreamingDiskANN via pgvectorscale |
| Maximum dimensions | 65,535 | 16,000 | 2,000 for HNSW index, 16,000 for stored vectors |
| Hybrid search | Native hybrid operator |
Native hybrid query with normalization processor |
Application-level via RRF |
| Filtered similarity search | Pre-filtering | Filtering during graph traversal on Lucene and Faiss | WHERE clause |
| Built-in vectorization | OpenAI, Cohere, Hugging Face, and other modules | Embedding happens in your application code; any provider works (DigitalOcean Serverless Inference, third-party, or self-hosted) | Embedding happens in your application code; any provider works (DigitalOcean Serverless Inference, third-party, or self-hosted) |
| Daily backups with point-in-time recovery | Yes | Yes | Yes |
| High availability with automated failover | Yes | Yes | Yes |
| End-to-end encryption | Yes | Yes | Yes |
| Private networking (VPC) | Yes | Yes | Yes |
For the full managed-database feature matrix, see Managed Databases.