ElasticsearchThe search database for AI
vs
OpenSearchThe open engine for AI-powered search and observability
Comparison · Vector Databases · weekly run Nov 2
Elasticsearch vs OpenSearch
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 3.9 for OpenSearch, 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 3.9)
- AI answers describe it more positively (30% vs 0% positive)
- 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)
Choose OpenSearch if…
- Strong general database popularity
- Hybrid keyword-plus-semantic search with dense vectors
- Suited to broader search, logging, analytics, and observability
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Elasticsearch | OpenSearch |
|---|---|---|
| Visibility score | 14.3% | 3.9% |
| Change vs last week | New | New |
| Rank in Vector Databases | #7 | #16 |
| Share of voice | 5.1% | 1.7% |
| Mentions this run | 24 | 8 |
| Positive in AI answers | 30% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Elasticsearch 0pp · OpenSearch 0pp over 0 weekly runs.
Engine by engine
Elasticsearch leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
ElasticsearchOpenSearch
Head to head in AI answers
7 engine answers name both brands
7Elasticsearch ranked higher
0OpenSearch ranked higher
| Prompt | Engine | Elasticsearch | OpenSearch |
|---|---|---|---|
| How do I choose a vector database for a mid-market team? | ChatGPT | #7 | #8 |
| How do companies store and search embeddings without a dedicated tool? | ChatGPT | #3 | #4 |
| How do companies store and search embeddings without a dedicated tool? | AI Mode | #4 | #5 |
| How do companies store and search embeddings without a dedicated tool? | Perplexity | #2 | #3 |
| Top vector database options for B2B SaaS companies | Perplexity | #6 | #7 |
| Compare the leading Vector Databases platforms | Perplexity | #6 | #7 |
| Who makes the most used vector database? | AI Mode | #5 | #6 |
Features, pricing & fit
| Dimension | Elasticsearch | OpenSearch |
|---|---|---|
| Deployment | Elastic Cloud Serverless, Elastic Cloud Hosted, or self-managed on premises, in private, hybrid or air-gapped environments. | Self-managed, or through Amazon OpenSearch Service and managed providers such as Aiven and Instaclustr. A Kubernetes operator is available for managing clusters. |
| 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 | — |
| Support | Four support tiers depending on Elastic Cloud subscription tier, 99.95% monthly uptime SLA for Platinum and Enterprise tiers | Community forum, Slack, GitHub, Long-term support from certified providers |
| Founded | 2012 | 2021 |
| Headquarters | San Francisco, California | San Francisco, CA, United States |
| Employees | 1,001–5,000 | 51–200 |
| Funding | IPO (NYSE) | — |
| Best for | Teams building AI search, RAG and vector applications, and organizations that want search, observability and security on one data platform. | Organizations that want search, vector retrieval, and observability on open source software without vendor lock-in. |
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
OpenSearch
- Strong general database popularity
- Hybrid keyword-plus-semantic search with dense vectors
- Suited to broader search, logging, analytics, and observability
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Elasticsearch vs OpenSearch”, https://slateindex.ai/compare/elasticsearch-vs-opensearch, data of Nov 2, 2026. Licence: CC BY 4.0.