Qdrant
Qdrant is an open‑source vector search engine available self‑hosted and as managed cloud with real‑time indexing, hybrid dense+sparse search, and advanced metadata filters (nested, geo, text). Workflows include indexing vectors, applying filters, and serving real‑time retrieval across cloud, hybrid, or private deployments with enterprise controls like SSO and VPC links.
Qdrant Cloud offers a permanent Free Tier (limited resources), a Standard Tier priced usage-based, and a Premium Tier that requires a minimum spend; managed, hybrid, and private cloud deployment options are documented.Is Qdrant right for you?
Good for
- Teams needing a production vector database with real‑time indexing, hybrid dense–sparse retrieval, and flexible deployment choices (OSS, cloud, private).
- Real-time indexing so new vectors are searchable immediately after insertion.
- Native hybrid dense+sparse search support (BM25, SPLADE++, miniCOIL) in a single engine.
Keep in mind
- Edge offering is marked Beta, indicating early-stage availability and potential feature instability.
- Serverless product is noted as 'Coming soon', so serverless hosting is not yet available in documented offerings.
- Buyers who require explicit per‑unit cloud pricing on public pages — use the pricing calculator or sales channel to get granular cost estimates.
Pricing and plan limits
The linked official pages list tier structure and resource-based billing behavior but do not publish granular per-unit numeric rates for compute, memory, storage, or inference tokens.
More about capabilities and limits
Documented strengths
Real-time indexing so new vectors are searchable immediately after insertion.
Native hybrid dense+sparse search support (BM25, SPLADE++, miniCOIL) in a single engine.
Advanced metadata filters including nested, text, geo, and has_vector for precise retrieval.
Limitations to consider
Edge offering is marked Beta, indicating early-stage availability and potential feature instability.
Serverless product is noted as 'Coming soon', so serverless hosting is not yet available in documented offerings.
Choosing a plan
Estimate cloud costs by running your workload through Qdrant’s pricing calculator or requesting a sales quote that maps your expected vCPU, RAM, storage, and inference needs to concrete rates.
Based on the linked product documentation.
Available on
Api.
Official sources
Alternatives to Qdrant
Choose around the work you need to do.
Chroma
Choose Chroma when you want an open-source embeddable vector and full-text search database that supports dense and sparse vectors, metadata filtering, and a managed cloud option.
