Elasticsearch vs Zilliz Cloud
Elasticsearch
elastic.co
Zilliz Cloud
zilliz.comSide by side
| Figure | Elasticsearch | Zilliz Cloud |
|---|---|---|
| Price from | $99/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 8 | 4 |
| Spec score · Vector Databases | 8.5 (#4) | 7.3 (#23) |
| Spec score · Ai Databases | 8.4 (#7) | 7.3 (#31) |
| Spec score · Search Databases | 8.3 (#10) | 7.3 (#26) |
| Spec score · Search & Vector Database Platforms | 8.3 (#8) | 7.3 (#16) |
| Founded | 2012 | 2017 |
| Headquarters | Amsterdam, Netherlands, and Mountain View, California, United States | Redwood Shores, California, United States |
| Integrations | Elastic describes 350+ integrations and supports ingestion through Elastic Agent, connectors, APIs, language clients, and Logstash. | Documented integrations include Prometheus, Datadog, AWS S3, Azure Blob Storage, Google Cloud Storage, and external model providers. |
| Search | It supports full-text, semantic, and hybrid search with filters, ranking, and reranking. | The service supports approximate nearest neighbor vector search, filtered search, hybrid search, and full-text search. |
| Support | Elastic Cloud Hosted and Serverless offer four support tiers depending on subscription tier. | Users can contact Zilliz Support to request access to features in private preview. |
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
Zilliz Cloud
- Free clusterFree
- Business CriticalPriced on request
- DedicatedPriced on request
- ServerlessPriced on request
In their own words
Elasticsearch
Elasticsearch has no write-up on Specifiction yet; its figures are above.
Zilliz Cloud
Zilliz Cloud is a managed Milvus service for deploying and scaling vector search applications. It supports approximate nearest neighbor, filtered, hybrid, and full-text search. Teams can choose Free, Serverless, or Dedicated cluster deployments; Serverless clusters scale automatically to zero. During ingestion, the service can create vector embeddings from raw text using a configured embedding function.
Documented integrations include Prometheus, Datadog, AWS S3, Azure Blob Storage, Google Cloud Storage, and external model providers. Migration sources include Pinecone, Qdrant, Elasticsearch, and PostgreSQL. The service supports sparse vectors, metadata filtering, up to 32768 dimensions, and a range of index types, including FLAT, HNSW, DISKANN, and AUTOINDEX. SDKs are listed for Python, Java, Go, Node.js, and C++. The Free cluster costs nothing and includes 5 GB storage, 2.5M vCUs/month, and up to 5 collections. Dedicated and Serverless pricing is pay as you go; storage charges apply to stored data and backup files even when a cluster is stopped.