Epsilla vs Qdrant
Epsilla
epsilla.com
Qdrant
qdrant.techSide by side
| Figure | Epsilla | Qdrant |
|---|---|---|
| Price from | $29/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 5 | 5 |
| Spec score · Vector Databases | 8.2 (#6) | 8.0 (#9) |
| Deployment | Epsilla lists managed SaaS, on-premise installation, and private cloud deployment options. | Qdrant can be run locally using its Docker image or used through Qdrant Cloud. |
| Product | Epsilla describes itself as an Agent-as-a-Service platform for creating and deploying vertical AI agents without infrastructure complexity. | Qdrant is a vector similarity search engine with an API to store, search, and manage vectors with additional payload data. |
Plans
Epsilla
- Free TierFree
- Starter Tier$29 a month
- Professional Tier$249 a month
- AI Concierge$2,499 a month
- Enterprise TierPriced 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
Epsilla
Epsilla is an Agent-as-a-Service platform for creating and deploying vertical AI agents without infrastructure complexity. Its drag-and-drop builder is intended for no-code agent creation, while retrieval-augmented generation connects agents to enterprise knowledge bases. Users can upload PDF, DOCX, CSV, HTML, and JSON documents from local drives, cloud drives, or web pages, then configure chat history, top-K retrieval, and metadata filtering. Management tools monitor, analyze, and optimize agents and chatbots. Multi-tenancy provides granular permissions and access controls. Deployment options include managed SaaS, on-premise installation, and private cloud, with web service APIs for custom interfaces. TokenRouter provides access to commercial and open-source models through one API key. Epsilla lists solutions for manufacturing, research management, sales and support, publishing, financial services, healthcare, and legal services. It runs as an API, self-hosted deployment, or web service. The Free Tier costs nothing; paid plans start at $29 a month, with larger tiers and an enterprise option.
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.