Databases · head to head
OpenSearch vs Vespa

OpenSearch
Databases
Open-source search and analytics suite forked from Elasticsearch
- From
- Free
- Rated
- -

Vespa
Databases
Distributed AI search platform for retrieval, ranking, and inference
- From
- Free
- Rated
- -
The short version
- Each has a real cost: OpenSearch diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one; Vespa pricing not publicly listed, requires contacting sales
- They diverge on capability: OpenSearch covers Full-text search, Vespa covers Text and structured search.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which OpenSearch and Vespa actually diverge.
| Attribute | OpenSearch | Vespa |
|---|---|---|
| Pricing model | Open source, no licence fee; managed services billed separately | contact-sales |
| Platforms | Linux, Docker, Kubernetes, Self-hosted | Cloud, Self-hosted |
| Founded | Unknown | 2023 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in OpenSearch
- Full-text search
- OpenSearch Dashboards
- Log analytics
Only in Vespa
- Text and structured search
- Machine-learned ranking
- Real-time serving
- SQL interface
- Automatic scaling
- Open-source
Both cover
- Vector search
What people use each for
The jobs each tool is most often brought in to do.
OpenSearch
- Log and observability storage where an Apache-2.0 licence is a requirementnot Vespa
- Replacing Elasticsearch after the licence change without changing architecturenot Vespa
- Search plus analytics on one cluster rather than two systemsnot Vespa
Vespa
- Build RAG systems with semantic search over documentsnot OpenSearch
- Power e-commerce search with ML rankingnot OpenSearch
- Create recommendation engines for personalizationnot OpenSearch
- Implement real-time search for news or feedsnot OpenSearch
- Deploy private semantic search over sensitive datanot OpenSearch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
OpenSearch
- Diverged from Elasticsearch since 7.10, so clients, plugins and features no longer map one to one
- Operationally heavy in the way Elasticsearch is: cluster sizing, shard strategy and JVM tuning are ongoing work
- Smaller ecosystem of third-party tooling than Elasticsearch, which most integrations still target first
- Overkill for plain application search, where a dedicated search engine is far simpler
Vespa
- Pricing not publicly listed, requires contacting sales
- Steeper learning curve compared to simpler search tools
- Operational complexity for self-hosted deployments
- Smaller ecosystem compared to cloud-native alternatives
Pricing, plan by plan
OpenSearch
Free- OpenSearchFree
- Full functionality
- Self-hosted
- No usage limits
Vespa
FreeNo published plan breakdown. See the Vespa review.
Which should you pick?
Choose OpenSearch if
- You need full-text search.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Self-hosted.
- You also want opensearch dashboards.
Choose Vespa if
- You need text and structured search.
- You want to start without paying.
- You work on Cloud, Self-hosted.
- You also want machine-learned ranking.
Questions people ask
- Is OpenSearch or Vespa better?
- Neither clearly leads. OpenSearch starts at Free and Vespa at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, OpenSearch or Vespa?
- OpenSearch starts at Free and Vespa at Free.
- Does OpenSearch or Vespa run on more platforms?
- OpenSearch runs on Linux, Docker, Kubernetes, Self-hosted. Vespa runs on Cloud, Self-hosted.
- Can I use OpenSearch for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is OpenSearch best used for?
- OpenSearch is most often used for log and observability storage where an apache-2.0 licence is a requirement, replacing elasticsearch after the licence change without changing architecture, search plus analytics on one cluster rather than two systems. Of those, log and observability storage where an apache-2.0 licence is a requirement and replacing elasticsearch after the licence change without changing architecture are not what Vespa is typically brought in for.
- What can OpenSearch do that Vespa cannot?
- OpenSearch covers Full-text search, OpenSearch Dashboards, Log analytics. Vespa covers Text and structured search, Machine-learned ranking, Real-time serving, SQL interface. Both handle Vector search.
Answered from the vendors’ own pages
OpenSearch: Is OpenSearch free?
Yes, Apache 2.0 licensed under the Linux Foundation. Amazon OpenSearch Service is a paid managed option.
Vespa: Is Vespa open-source?
Yes, Vespa is open-source under the Apache 2.0 license. The code is available on GitHub, and you can self-host or use the managed cloud service.
SourceOpenSearch: Why does OpenSearch exist?
Elastic moved Elasticsearch off the Apache 2.0 licence in 2021. AWS forked the last Apache-licensed version, and the project now sits under the Linux Foundation.
Vespa: What latency can Vespa achieve?
Vespa is designed for sub-100 millisecond latencies with thousands of queries per second, suitable for real-time search and recommendation applications.
SourceOpenSearch: Is OpenSearch compatible with Elasticsearch?
It was at the 7.10 fork point. Both have developed independently since, so compatibility weakens with every release and should be verified for the features you use.
Vespa: Does Vespa support vector search?
Yes, Vespa provides native vector search capabilities alongside text, structured data, and tensor operations for building comprehensive search and AI applications.
SourceVespa: What is the pricing model for Vespa Cloud?
Vespa Cloud pricing is not publicly listed and requires contacting their sales team to discuss your specific use case and scale requirements.
SourceRelated pages
Other head to heads
- OpenSearch vs Elasticsearch
- OpenSearch vs Meilisearch
- OpenSearch vs Apache Solr
- OpenSearch vs DuckDB
- OpenSearch vs Typesense
- OpenSearch vs QuestDB
- OpenSearch vs ClickHouse
- OpenSearch vs MariaDB
- OpenSearch vs TimescaleDB
- OpenSearch vs LanceDB
- OpenSearch vs Marqo
- OpenSearch vs Nile
- OpenSearch vs Ninox
- OpenSearch vs Privacera
- OpenSearch vs RavenDB
- OpenSearch vs Apache Flink
- OpenSearch vs Apache Kafka
- OpenSearch vs Apache Druid
- OpenSearch vs Zilliz
- OpenSearch vs SurrealDB
- OpenSearch vs Chroma
- OpenSearch vs Qdrant
- OpenSearch vs Materialize
- OpenSearch vs Estuary
- OpenSearch vs Fivetran HVR
- OpenSearch vs Grist
- OpenSearch vs IBM Db2
- OpenSearch vs Instaclustr
- OpenSearch vs Knack
- Vespa vs Elasticsearch
- Vespa vs Meilisearch
- Vespa vs Apache Solr
- Vespa vs DuckDB
- Vespa vs Typesense
- Vespa vs QuestDB
- Vespa vs ClickHouse
- Vespa vs MariaDB
- Vespa vs TimescaleDB
- Vespa vs LanceDB
- Vespa vs Marqo
- Vespa vs Nile
- Vespa vs Ninox
- Vespa vs Privacera
- Vespa vs RavenDB
- Vespa vs Apache Flink
- Vespa vs Apache Kafka
- Vespa vs Apache Druid
- Vespa vs Zilliz
- Vespa vs SurrealDB
- Vespa vs Chroma
- Vespa vs Qdrant
- Vespa vs Materialize
- Vespa vs Estuary
- Vespa vs Fivetran HVR
- Vespa vs Grist
- Vespa vs IBM Db2
- Vespa vs Instaclustr
- Vespa vs Knack
