Elasticsearch vs ZeusDB Vector Database
Elasticsearch
elastic.co
ZeusDB Vector Database
zeusdb.comSide by side
| Figure | Elasticsearch | ZeusDB Vector Database |
|---|---|---|
| Price from | $99/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 8 | 2 |
| Spec score · Vector Databases | 8.5 (#4) | 7.5 (#19) |
| Founded | 2012 | 2012 |
| Integrations | Elastic describes 350+ integrations and supports ingestion through Elastic Agent, connectors, APIs, language clients, and Logstash. | The product page lists LangChain and LlamaIndex as available integrations; Hugging Face, Anthropic, OpenAI, and Semantic Kernel are listed as in development. |
| Purpose | Elasticsearch is an open source distributed search and analytics engine for speed, scale, and AI applications. | ZeusDB Vector Database is presented as a high-performance vector database for AI workloads, including semantic search, RAG, and recommendations. |
| Search | It supports full-text, semantic, and hybrid search with filters, ranking, and reranking. | It supports approximate nearest-neighbor search using HNSW graphs. |
| Support | Elastic Cloud Hosted and Serverless offer four support tiers depending on subscription tier. | The open-source plan is community supported, while the enterprise plan lists priority support. |
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
In their own words
Elasticsearch
Elasticsearch has no write-up on Specifiction yet; its figures are above.
ZeusDB Vector Database
ZeusDB Vector Database is a vector database for AI workloads including semantic search, retrieval-augmented generation, and recommendations. Its free, self-hosted Open Source plan provides a Python API and approximate nearest-neighbor search with HNSW graphs. Optional Product Quantization compresses vectors for memory efficiency. Metadata filtering is supported, and indexes, metadata, and quantized vectors can be saved and reloaded. Hybrid search is listed. Published wheels support Linux x86_64 and aarch64, macOS Apple Silicon, and Windows x86_64; the package page lists Python 3.10 through 3.14. LangChain and LlamaIndex integrations are available with vector-store filtering and persistence features. Hugging Face, Anthropic, OpenAI, and Semantic Kernel integrations are in development. ZeusDB lists an Enterprise plan with managed deployment, SSO, RBAC, audit trails, encryption, automated backups and restore, observability, SLAs, and priority support. The managed enterprise edition is in development. The company says it was founded and launched its first site in 2012.