Quick verdict. Choose Elasticsearch or OpenSearch if you have a search engineering team, unusual requirements, and want full ownership of every ranking decision. Choose Xearch if you want industrial-grade product search and a sales assistant working in weeks rather than after a multi-quarter build.
What Elasticsearch and OpenSearch are
Elasticsearch is the most widely used open search and analytics engine, maintained by Elastic. OpenSearch is the open-source fork created in 2021, now run under the Linux Foundation. Both are general-purpose engines: they index documents and give you the tools (analysers, query DSL, aggregations, vector fields) to build search for logs, documents or products. They are not ecommerce products, so merchandising, analytics dashboards, front-end components and AI assistants are things you build or add.
Pros and cons
Where Elasticsearch shines
- Almost unlimited flexibility in data modelling and ranking
- Proven at very large scale
- Huge community, plugins and hiring pool
- Vector and hybrid search for semantic queries
- Self-host or use a managed cloud service
Where teams hit friction
- Steep learning curve for relevance tuning
- Operations: clusters, upgrades, monitoring and capacity
- No ecommerce front end, merchandising or analytics out of the box
- Every B2B feature (units, compatibility, handover) is a project
Ideal use cases for Elasticsearch
- Large engineering organisations with dedicated search teams.
- Unusual requirements that no packaged product meets.
- Companies already running Elastic for logs or analytics who want to reuse skills.
Elasticsearch vs Xearch for industrial catalogs
| Elasticsearch / OpenSearch | Xearch | |
|---|---|---|
| What you get | An engine | A finished product search and sales assistant |
| Time to first results | Weeks to months of build | Preview on your data early in onboarding |
| Spec, application and part-number queries | Design and build each one | Built in |
| AI chat assistant | Build with an LLM framework | Built in, grounded in your catalog |
| Ongoing ownership | Your engineers | Xearch team, with your review |
When to choose which
Pick Elasticsearch or OpenSearch when search is a strategic capability you want to own end to end and you can staff it.
Pick Xearch when you’d rather your engineers worked on your product while buyers find the right parts now. If you do want a custom open-source build, our implementation partner No Ifs Only Bots builds on Typesense. Chat with an expert to scope either path.
Frequently asked questions
Can Elasticsearch handle B2B product search?
Yes. Elasticsearch and OpenSearch power many large B2B sites. Numeric ranges, synonyms, part-number analysers, vector search and compatibility data are all possible, but each has to be designed, built and maintained by your team.
What does it cost to build search on Elasticsearch?
The licence or cloud bill is often the smaller part. The bigger cost is engineering time to model data, tune relevance, build the front end and analytics, and keep the cluster healthy.
What is the difference between Elasticsearch and OpenSearch?
OpenSearch is an open-source fork of Elasticsearch created in 2021, now run under the Linux Foundation. Both offer similar core search capabilities with diverging features and licensing.
Sources
- Elasticsearch alternatives (Meilisearch)
- The 7 best Algolia alternatives for site search in 2026, Elasticsearch section (Ringly)
This comparison is written by the Xearch team and is based on vendors’ public documentation, announcements and independent reviews available at the time of review. Features and pricing change; confirm details with each vendor. All product names and trademarks belong to their respective owners.