DBMS > CouchDB vs. Elasticsearch vs. InfluxDB vs. Redis vs. RethinkDB
System Properties Comparison CouchDB vs. Elasticsearch vs. InfluxDB vs. Redis vs. RethinkDB
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Name | CouchDB stands for "Cluster Of Unreliable Commodity Hardware" Xexclude from comparison | Elasticsearch Xexclude from comparison | InfluxDB Xexclude from comparison | Redis Xexclude from comparison | RethinkDB Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones. | A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric | DBMS for storing time series, events and metrics | Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies. | DBMS for the Web with a mechanism to push updated query results to applications in realtime. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store | Search engine | Time Series DBMS | Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | Document store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Spatial DBMS using the Geocouch extension | Document store Spatial DBMS Vector DBMS | Spatial DBMS with GEO package | Document store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Search engine with RediSearch Time Series DBMS with RedisTimeSeries Vector DBMS | Spatial DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | couchdb.apache.org | www.elastic.co/elasticsearch | www.influxdata.com/products/influxdb-overview | redis.com redis.io | rethinkdb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.couchdb.org/en/stable | www.elastic.co/guide/en/elasticsearch/reference/current/index.html | docs.influxdata.com/influxdb | docs.redis.com/latest/index.html redis.io/docs | rethinkdb.com/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Apache Software Foundation Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer | Elastic | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | The Linux Foundation since July 2017 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2005 | 2010 | 2013 | 2009 | 2009 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 3.3.3, December 2023 | 8.6, January 2023 | 2.7.6, April 2024 | 7.2.4, January 2024 | 2.4.1, August 2020 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Apache version 2 | Open Source Elastic License | Open Source MIT-License; commercial enterprise version available | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | Open Source Apache Version 2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | Erlang | Java | Go | C | C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Android BSD Linux OS X Solaris Windows | All OS with a Java VM | Linux OS X through Homebrew | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | Linux OS X Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | schema-free Flexible type definitions. Once a type is defined, it is persistent | schema-free | schema-free | schema-free | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | no | yes | Numeric data and Strings | partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | yes string, binary, float, bool, date, geometry | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes via views | yes All search fields are automatically indexed | no | yes with RediSearch module | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | SQL-like query language | SQL-like query language | with RediSQL module | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | RESTful HTTP/JSON API | Java API RESTful HTTP/JSON API | HTTP API JSON over UDP | proprietary protocol RESP - REdis Serialization Protocol | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C C# ColdFusion Erlang Haskell Java JavaScript Lisp Lua Objective-C OCaml Perl PHP PL/SQL Python Ruby Smalltalk | .Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby | .Net Clojure Erlang Go Haskell Java JavaScript JavaScript (Node.js) Lisp Perl PHP Python R Ruby Rust Scala | C C# C++ Clojure Crystal D Dart Elixir Erlang Fancy Go Haskell Haxe Java JavaScript (Node.js) Lisp Lua MatLab Objective-C OCaml Pascal Perl PHP Prolog Pure Data Python R Rebol Ruby Rust Scala Scheme Smalltalk Swift Tcl Visual Basic | C community-supported driver C# community-supported driver C++ community-supported driver Clojure community-supported driver Dart community-supported driver Erlang community-supported driver Go community-supported driver Haskell community-supported driver Java official driver JavaScript (Node.js) official driver Lisp community-supported driver Lua community-supported driver Objective-C community-supported driver Perl community-supported driver PHP community-supported driver Python official driver Ruby official driver Scala community-supported driver | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | View functions in JavaScript | yes | no | Lua; Redis Functions coming in Redis 7 (slides and Github) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes | yes by using the 'percolation' feature | no | publish/subscribe channels provide some trigger functionality; RedisGears | Client-side triggers through changefeeds | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding improved architecture with release 2.0 | Sharding | Sharding in enterprise version only | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | Sharding range based | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication Source-replica replication | yes | selectable replication factor in enterprise version only | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | Source-replica replication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | yes | ES-Hadoop Connector | no | through RedisGears | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency | Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | Immediate Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | no atomic operations within a single document possible | no | no | Atomic execution of command blocks and scripts and optimistic locking | Atomic single-document operations | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes strategy: optimistic locking | yes | yes | yes Data access is serialized by the server | yes MVCC based | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes Configurable mechanisms for persistency via snapshots and/or operations logs | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | Memcached and Redis integration | yes Depending on used storage engine | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users can be defined per database | simple rights management via user accounts | Access Control Lists (ACLs): redis.io/docs/management/security/acl LDAP and Role-Based Access Control (RBAC) for Redis Enterprise Mutual TLS authentication: redis.io/docs/management/security/encryption Password-based authentication | yes users and table-level permissions | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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CouchDB stands for "Cluster Of Unreliable Commodity Hardware" | Elasticsearch | InfluxDB | Redis | RethinkDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | InfluxData is the creator of InfluxDB , the open source time series database. It... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | Time to Value InfluxDB is available in all the popular languages and frameworks,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | InfluxData has more than 1,900 paying customers, including customers include MuleSoft,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | Open source core with closed source clustering available either on-premise or on... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
News | An Introductory Guide to Grafana Alerts What to Expect When You’re Expecting InfluxDB: A Guide Introduction to Apache Iceberg Converting Timestamp to Date in Java A Detailed Guide to C# TimeSpan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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CouchDB stands for "Cluster Of Unreliable Commodity Hardware" | Elasticsearch | InfluxDB | Redis | RethinkDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month | PostgreSQL is the DBMS of the Year 2017 Elasticsearch moved into the top 10 most popular database management systems MySQL, PostgreSQL and Redis are the winners of the March ranking | Why Build a Time Series Data Platform? Time Series DBMS are the database category with the fastest increase in popularity Time Series DBMS as a new trend? | PostgreSQL is the DBMS of the Year 2018 MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year | Meet some database management systems you are likely to hear more about in the future IBM Cloudant pulls plan to fund new foundational layer for CouchDB How to install the CouchDB NoSQL database on Debian Server 11 CouchDB 3.0 ends admin party era • DEVCLASS CouchDB 3.0 puts safety first Tracking Expenses with CouchDB and Angular — SitePoint provided by Google News Netflix Uses Elasticsearch Percolate Queries to Implement Reverse Searches Efficiently Splunk vs Elasticsearch | A Comparison and How to Choose 8 Powerful Alternatives to Elasticsearch Introducing Elasticsearch Vector Database to Azure OpenAI Service On Your Data (Preview) ElasticSearch Goes Deep on OpenTelemetry with eBPF Donation provided by Google News Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services Amazon Timestream: Managed InfluxDB for Time Series Data InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB provided by Google News Cloud firm Redis Labs valued at $2 billion as SoftBank, Tiger Global invest Redis acquires storage engine startup Speedb to enhance its open-source database Boosting throughput for cloud databases Redis moves to source-available licenses Redis expands data management capabilities with Speedb acquisition – Blocks and Files provided by Google News MongoDB: The Popular Database for IoT How to Use RethinkDB with Node.js Applications — SitePoint Stripe acquires team behind NoSQL database startup RethinkDB How to deploy RethinkDB using Docker RethinkDB is dead, and MongoDB isn't what killed it provided by Google News |
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