Elasticsearch vs Qdrant
Elasticsearch
elastic.co
Qdrant
qdrant.techSide by side
| Figure | Elasticsearch | Qdrant |
|---|---|---|
| Price from | $99/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 8 | 5 |
| Spec score · Vector Databases | 8.5 (#4) | 8.0 (#9) |
| Spec score · Ai Databases | 8.4 (#7) | 8.0 (#14) |
| Spec score · Search Databases | 8.3 (#10) | 7.9 (#16) |
| Deployment | It can run on premises, in the cloud, across clouds, or as a managed serverless service. | Qdrant can be run locally using its Docker image or used through Qdrant Cloud. |
| Founded | 2012 | 2021 |
| Headquarters | Amsterdam, Netherlands, and Mountain View, California, United States | Berlin, Germany |
| Integrations | Elastic describes 350+ integrations and supports ingestion through Elastic Agent, connectors, APIs, language clients, and Logstash. | Qdrant lists integrations including LangChain, LlamaIndex, Airbyte, Unstructured, DocArray, and AutoGen. |
| Support | Elastic Cloud Hosted and Serverless offer four support tiers depending on subscription tier. | The pricing page lists community support as Discord-only and paid support options with 10h/day business-hours or 24/7 coverage. |
Plans
Elasticsearch
- BasicPriced on request
- Standard$99 a month
- Gold$114 a month
- Platinum$131 a month
- Enterprise$184 a month
- Elastic Cloud HostedPrice not published
- Elastic Cloud ServerlessPrice not published
- Self-managed ElasticsearchPriced on request
Qdrant
- Free TierFree
- Hybrid CloudPriced on request
- Premium TierPriced on request
- Private CloudPriced on request
- Standard TierPriced on request
In their own words
Elasticsearch
Elasticsearch has no write-up on Specifiction yet; its figures are above.
Qdrant
Qdrant is a vector similarity search engine and API for storing, searching, and managing vectors with payload data. A point can pair a vector with JSON metadata that filters search results. It supports dense, sparse, and multivector configurations, plus hybrid retrieval that combines semantic and lexical search. These capabilities can serve semantic search and recommendation systems. Qdrant can run locally with its Docker image or through Qdrant Cloud. REST and gRPC APIs are available, along with official client libraries for Python, JavaScript/TypeScript, Rust, Go, .NET, and Java. Listed integrations include LangChain, LlamaIndex, Airbyte, Unstructured, DocArray, and AutoGen. The free cloud tier is intended for testing and prototypes, with a single-node cluster, 1GB RAM, and 4GB disk. Qdrant Cloud enables TLS and encryption at rest; self-hosted users must configure these controls, and authentication and encryption are off by default in self-hosted open-source deployments. Qdrant was founded in 2021 and is headquartered in Berlin, Germany.