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OpenSearchThe open engine for AI-powered search and observability
vs
turbopufferVector and full-text search built on object storage
Comparison · Vector Databases · weekly run Nov 2

OpenSearch vs turbopuffer

Which one do AI engines recommend, and how do they differ on price, fit and features?

Track both brands

The short answer

turbopuffer is the stronger AI pick in Vector Databases: it has a visibility score of 4.6 versus 3.9 for OpenSearch.

Choose OpenSearch if…

  • You prefer a larger, established vendor (51–200 employees)
  • Strong general database popularity
  • Hybrid keyword-plus-semantic search with dense vectors
  • Suited to broader search, logging, analytics, and observability

Choose turbopuffer if…

  • You want the brand AI engines rank higher (4.6 vs 3.9)
  • AI answers describe it more positively (33% vs 0% positive)
  • You need SOC 2 Type 2 or HIPAA (Business Associate Agreement available) or GDPR-ready DPA coverage
  • serverless vector and full-text search built on object storage

AI visibility side by side

Latest weekly run · Nov 2

Metric OpenSearch turbopuffer
Visibility score3.9%4.6%
Change vs last weekNewNew
Rank in Vector Databases#16#14
Share of voice1.7%1.9%
Mentions this run89
Positive in AI answers0%33%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2OpenSearch 4%

OpenSearch 0pp · turbopuffer 0pp over 0 weekly runs.

Engine by engine

turbopuffer leads on 2 of 3 engines

ChatGPT
3.9%
6.7%
AI Mode
3%
4.3%
Perplexity
4.8%
2.8%
OpenSearchturbopuffer

Head to head in AI answers

0 engine answers name both brands

0OpenSearch ranked higher
0turbopuffer ranked higher

Features, pricing & fit

DimensionOpenSearchturbopuffer
Pricing model—Usage-based
Entry price—$16 / mo
Free plan—No
DeploymentSelf-managed, or through Amazon OpenSearch Service and managed providers such as Aiven and Instaclustr. A Kubernetes operator is available for managing clusters.Multi-tenant cloud on usage-based plans; single-tenant and bring-your-own-cloud (BYOC) deployments on the enterprise plan.
Compliance—SOC 2 Type 2, HIPAA (Business Associate Agreement available), GDPR-ready DPA
SupportCommunity forum, Slack, GitHub, Long-term support from certified providersCommunity Slack and email on all plans, Private Slack channel on higher plans, 24/7 support and 99.95% uptime SLA on enterprise
Founded20212023
HeadquartersSan Francisco, CA, United StatesOttawa, Ontario, Canada
Employees51–20011–50
Funding—Seed
Best forOrganizations that want search, vector retrieval, and observability on open source software without vendor lock-in.Teams building AI applications, semantic search or recommendation systems that need large-scale vector and full-text search at lower cost.

Plans side by side

OpenSearch

Pricing not available.

turbopuffer

launch$16month minimum usage
scale$256month minimum usage
enterprise$4,096month minimum usage (>= $4,096/month, 35% usage premium)
turbopuffer pricing

Pros and cons

Themes from the AI answers that mention each brand

OpenSearch

  • Strong general database popularity
  • Hybrid keyword-plus-semantic search with dense vectors
  • Suited to broader search, logging, analytics, and observability

    turbopuffer

    • serverless vector and full-text search built on object storage
    • high performance at a fraction of traditional costs
    • cloud-native, cost-conscious design
    • ranked among highest vendors in an industry ranking

      Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

      Cite as: SlateIndex, “OpenSearch vs turbopuffer”, https://slateindex.ai/compare/opensearch-vs-turbopuffer, data of Nov 2, 2026. Licence: CC BY 4.0.