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SPECIFICTION
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Elasticsearch vs Upstash Vector

Elasticsearch

elastic.co

Upstash Vector

upstash.com

Side by side

FigureElasticsearchUpstash Vector
Price from$99/mo$0.40/mo
Free plan—Yes
Free trialYesYes
Open source——
WebYesYes
LinuxYes—
APIYesYes
Self-hostedYes—
Plans published84
Spec score · Vector Databases8.5 (#4)7.9 (#13)
CompanyElastic says it builds Search, Observability, and Security solutions on the Elasticsearch foundation.Upstash describes itself as a data platform for developers and says it is based in California.
HeadquartersAmsterdam, Netherlands, and Mountain View, California, United StatesCalifornia
IntegrationsElastic describes 350+ integrations and supports ingestion through Elastic Agent, connectors, APIs, language clients, and Logstash.The documentation provides integrations for Vercel AI SDK, Flowise, LangChain, Langflow, LlamaIndex, and LlamaParse.
PurposeElasticsearch is an open source distributed search and analytics engine for speed, scale, and AI applications.Upstash Vector is a serverless vector database designed for high-performance vector search at scale, including NLP, RAG, recommendation, image recognition, clustering, and classification systems.
SupportElastic Cloud Hosted and Serverless offer four support tiers depending on subscription tier.Enterprise features include professional support with a response-time SLA, a dedicated Slack channel, and a dedicated account manager.

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

Elasticsearch pricing →

Upstash Vector

  • FreeFree
  • Pay as You Go$0.40 a month
  • Fixed$60 a month
  • EnterprisePriced on request

Upstash Vector pricing →

In their own words

Elasticsearch

Elasticsearch has no write-up on Specifiction yet; its figures are above.

Visit elastic.co

Upstash Vector

Upstash Vector is a serverless cloud vector database for applications that need vector search, including NLP, RAG, recommendations, image recognition, clustering and classification. It uses DiskANN for approximate nearest-neighbor queries and also lists FreshDiskANN as an index type. Developers can use its REST API and SDKs, with first-class Python and TypeScript support and additional SDKs for Go and PHP. Similarity options include Euclidean distance, cosine similarity and dot product. Vectors can carry metadata, and query filters can restrict matches using metadata expressions. Hybrid indexes combine dense semantic search with sparse exact-token search and fuse the results. Documented integrations include Vercel AI SDK, Flowise, LangChain, Langflow, LlamaIndex and LlamaParse. The pricing page lists a default top-k limit of 1,000, up to 48 KB of metadata and 1 MB of data per vector. The Free plan allows 10K daily queries or updates and up to 1 GB of data and metadata. Pay as You Go costs $0.40 a month, billed per 100K requests, with separate storage and bandwidth terms. Region availability varies by plan.

Visit upstash.com