
ElasticSearch
Algolia
Meilisearch
Typesense
Apache Solr
Manticore search
Sphinx (search engine)
OpenSearch is a community-driven, open source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2. It consists of a search engine daemon, and a visualization and user interface, OpenSearch Dashboards.

Docker Hub
Apache Thrift
Apache ZooKeeper
SkyDNS
runc
Traefik
Avro
Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.
Which is more popular?
Based on our record, OpenSearch seems to be more popular. It has been mentioned 28 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | opensearch.org | callminer.com |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
OpenSearch is recommended for businesses and developers who require robust search and analytics capabilities. It is particularly suitable for those interested in open-source solutions, organizations with substantial data analysis needs, or companies that may benefit from its integration capabilities. It is also ideal for developers looking for a platform that supports extensive customizations and complex data structures.
No analysis of Eureka yet.
Walkthroughs and reviews on video.
OpenSearch - What the Fork is it?
Eureka Survey App Review - Big Fat SCAM EXPOSED!
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using OpenSearch and Eureka. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


In this post, we compare two forecasting models, Chronos (Chronos‑Bolt) and Toto, on telemetry from Prometheus and OpenSearch. We judge them with two easy metrics: MASE for point accuracy and CRPS for the quality of uncertainty. - Source: dev.to / 5 months ago
Excerpt of the original code; This is a code recipe that uses OpenSearch, an open-source search and analytics tool, and the LlamaIndex framework to perform RAG over documents parsed by Docling. In this notebook, we accomplish the... - Source: dev.to / 12 months ago
In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source... - Source: dev.to / over 1 year ago
Tracking Eureka since Mar 2021.
When comparing OpenSearch and Eureka, you can also consider the following products.

Elasticsearch is an open source, distributed, RESTful search engine.
Compare ElasticSearch to OpenSearch or Eureka:


Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
Compare Algolia to OpenSearch or Eureka:

An interface definition language and communication protocol for creating cross-language services.
Compare Apache Thrift to OpenSearch or Eureka:

Ultra relevant, instant, and typo-tolerant full-text search API
Compare Meilisearch to OpenSearch or Eureka:

Apache ZooKeeper is an effort to develop and maintain an open-source server which enables highly reliable distributed coordination.
Compare Apache ZooKeeper to OpenSearch or Eureka: