ElasticsearchThe search database for AI
vs
turbopufferVector and full-text search built on object storage
Comparison · Vector Databases · weekly run Nov 2
Elasticsearch vs turbopuffer
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Elasticsearch is the stronger AI pick in Vector Databases: it has a visibility score of 14.3 versus 4.6 for turbopuffer, and ranks ahead in 100% of the answers that name both.
Choose Elasticsearch if…
- You want the brand AI engines rank higher (14.3 vs 4.6)
- You need SOC 2 Type II or ISO/IEC 27001 or ISO/IEC 27017 or ISO/IEC 27018 or ISO/IEC 27701 or FedRAMP Moderate or FedRAMP High or PCI DSS or HIPAA or CSA STAR coverage
- You prefer a larger, established vendor (1,001–5,000 employees)
- Strongest general enterprise choice for vector search alongside full-text search, logs, and analytics
Choose turbopuffer if…
- AI answers describe it more positively (33% vs 30% 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
- high performance at a fraction of traditional costs
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Elasticsearch | turbopuffer |
|---|---|---|
| Visibility score | 14.3% | 4.6% |
| Change vs last week | New | New |
| Rank in Vector Databases | #7 | #14 |
| Share of voice | 5.1% | 1.9% |
| Mentions this run | 24 | 9 |
| Positive in AI answers | 30% | 33% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Elasticsearch 0pp · turbopuffer 0pp over 0 weekly runs.
Engine by engine
Elasticsearch leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Elasticsearchturbopuffer
Head to head in AI answers
5 engine answers name both brands
5Elasticsearch ranked higher
0turbopuffer ranked higher
| Prompt | Engine | Elasticsearch | turbopuffer |
|---|---|---|---|
| What are the best Vector Databases tools in 2026? | ChatGPT | #8 | #11 |
| What are the best Vector Databases tools in 2026? | Perplexity | #7 | #9 |
| Alternatives to the most popular vector database | Perplexity | #7 | #10 |
| Official website of the top vector database vendors | ChatGPT | #8 | #12 |
| Official website of the top vector database vendors | Perplexity | #9 | #13 |
Features, pricing & fit
| Dimension | Elasticsearch | turbopuffer |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | $16 / mo |
| Free plan | — | No |
| Deployment | Elastic Cloud Serverless, Elastic Cloud Hosted, or self-managed on premises, in private, hybrid or air-gapped environments. | Multi-tenant cloud on usage-based plans; single-tenant and bring-your-own-cloud (BYOC) deployments on the enterprise plan. |
| Compliance | SOC 2 Type II, ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, ISO/IEC 27701, FedRAMP Moderate, FedRAMP High, PCI DSS, HIPAA, CSA STAR | SOC 2 Type 2, HIPAA (Business Associate Agreement available), GDPR-ready DPA |
| Support | Four support tiers depending on Elastic Cloud subscription tier, 99.95% monthly uptime SLA for Platinum and Enterprise tiers | Community Slack and email on all plans, Private Slack channel on higher plans, 24/7 support and 99.95% uptime SLA on enterprise |
| Founded | 2012 | 2023 |
| Headquarters | San Francisco, California | Ottawa, Ontario, Canada |
| Employees | 1,001–5,000 | 11–50 |
| Funding | IPO (NYSE) | Seed |
| Best for | Teams building AI search, RAG and vector applications, and organizations that want search, observability and security on one data platform. | 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
Elasticsearch
Pricing not available.
turbopuffer
launch$16month minimum usage
scale$256month minimum usage
enterprise$4,096month minimum usage (>= $4,096/month, 35% usage premium)
Pros and cons
Themes from the AI answers that mention each brand
Elasticsearch
- Strongest general enterprise choice for vector search alongside full-text search, logs, and analytics
- Widely deployed, often cited as the most widely deployed vector-capable search engine
- Hybrid keyword-plus-semantic search via dense vectors and inverted indexes
- Suited to consolidated stacks and broader search, logging, analytics, or observability platforms
- Existing infrastructure can be leveraged
- Smaller community and ecosystem than PostgreSQL, MySQL, MongoDB
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, “Elasticsearch vs turbopuffer”, https://slateindex.ai/compare/elasticsearch-vs-turbopuffer, data of Nov 2, 2026. Licence: CC BY 4.0.