Elasticsearch vs Redis

Elasticsearch and Redis are both listed under Databases in the DevPages directory. This page puts the details we hold for each of them side by side.

It does not score them and does not pick a winner. Fields the catalog has no value for say “Not recorded” rather than being filled in with a guess.

Elasticsearch, Redis compared field by field. Values are taken from the DevPages catalog; fields we hold no value for read “Not recorded”.
	Elasticsearch	Redis
Category	Databases	Databases
Pricing model	Freemium	Open Source
Open source	Yes	Yes
GitHub stars	77.9K	76.0K
Key features	Full-text search with relevance scoring Distributed architecture and clustering Real-time data ingestion and indexing Powerful aggregations and analytics Multi-tenancy and security features RESTful API and JSON documents Machine learning capabilities Geospatial and time-series support	In-memory data storage with persistence Rich data structures (strings, lists, sets, hashes) Pub/Sub messaging system Lua scripting support Clustering and high availability Streams for real-time data processing Built-in replication Atomic operations and transactions
Use cases	Application and website search Log and event data analysis Business intelligence and analytics Security information and event management E-commerce product search Real-time application monitoring Geospatial data analysis Machine learning and AI applications	Application caching and session storage Real-time analytics and leaderboards Message queuing and pub/sub systems Rate limiting and API throttling Shopping carts and user sessions Real-time chat applications Geospatial applications Machine learning model serving
Integrations	Kibana Logstash Beats Java Python Node.js Spring Data Docker	Node.js Python Java PHP Ruby Docker Kubernetes Spring Boot
Tags	search analytics full-text distributed lucene elk-stack	in-memory cache key-value pub-sub session-store real-time
Links	Website (opens in a new tab) GitHub (opens in a new tab) Docs (opens in a new tab)	Website (opens in a new tab) GitHub (opens in a new tab) Docs (opens in a new tab)

What each one is

Elasticsearch

Distributed search and analytics engine built on Apache Lucene

Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. Built on Apache Lucene, it provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. It's the heart of the Elastic Stack.

Full Elasticsearch listing

Redis

In-memory data store used as database, cache, and message broker

Redis is an open-source, in-memory data structure store that can be used as a database, cache, streaming engine, and message broker. It supports various data structures like strings, hashes, lists, sets, and sorted sets. Redis is known for its exceptional performance, making it ideal for high-throughput applications.

Full Redis listing

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Elasticsearch, Redis compared field by field. Values are taken from the DevPages catalog; fields we hold no value for read “Not recorded”.
	Elasticsearch	Redis
Category	Databases	Databases
Pricing model	Freemium	Open Source
Open source	Yes	Yes
GitHub stars	77.9K	76.0K
Key features	Full-text search with relevance scoring Distributed architecture and clustering Real-time data ingestion and indexing Powerful aggregations and analytics Multi-tenancy and security features RESTful API and JSON documents Machine learning capabilities Geospatial and time-series support	In-memory data storage with persistence Rich data structures (strings, lists, sets, hashes) Pub/Sub messaging system Lua scripting support Clustering and high availability Streams for real-time data processing Built-in replication Atomic operations and transactions
Use cases	Application and website search Log and event data analysis Business intelligence and analytics Security information and event management E-commerce product search Real-time application monitoring Geospatial data analysis Machine learning and AI applications	Application caching and session storage Real-time analytics and leaderboards Message queuing and pub/sub systems Rate limiting and API throttling Shopping carts and user sessions Real-time chat applications Geospatial applications Machine learning model serving
Integrations	Kibana Logstash Beats Java Python Node.js Spring Data Docker	Node.js Python Java PHP Ruby Docker Kubernetes Spring Boot
Tags	search analytics full-text distributed lucene elk-stack	in-memory cache key-value pub-sub session-store real-time
Links	Website (opens in a new tab) GitHub (opens in a new tab) Docs (opens in a new tab)	Website (opens in a new tab) GitHub (opens in a new tab) Docs (opens in a new tab)

Elasticsearch

Redis