DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Amazon Redshift vs. Couchbase vs. Elasticsearch

System Properties Comparison Amazon Redshift vs. Couchbase vs. Elasticsearch

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonElasticsearch  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric
Primary database modelRelational DBMSDocument store
Vector DBMS
Search engine
Vector DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Wide column store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.12
Rank#38  Overall
#23  Relational DBMS
Score15.63
Rank#35  Overall
#5  Document stores
#2  Vector DBMS
Score134.63
Rank#8  Overall
#1  Search engines
#1  Vector DBMS
Websiteaws.amazon.com/­redshiftwww.couchbase.comwww.elastic.co/­elasticsearch
Technical documentationdocs.aws.amazon.com/­redshiftdocs.couchbase.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAmazon (based on PostgreSQL)Couchbase, Inc.Elastic
Initial release201220112010
Current releaseServer: 7.6, March 2024; Mobile: 3.3, August 2024; Couchbase Capella (DBaaS), September 20248.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoElastic License
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++, Go and ErlangJava
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VM
Data schemeyesschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesrestrictedyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesSQL-like query language
APIs and other access methodsJDBC
ODBC
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PythonFunctions and timers in JavaScript and UDFs in Java, Python, SQL++yes
Triggersnoyes infovia the TAP protocolyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoincluding cross data center replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoEphemeral bucketsMemcached and Redis integration
User concepts infoAccess controlfine grained access rights according to SQL-standardUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftCouchbase infoOriginally called MembaseElasticsearch
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month
2 June 2014, Matthias Gelbmann

show all

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

Amazon Redshift Serverless adds higher base capacity of up to 1024 RPUs
10 February 2025, AWS Blog

Amazon Redshift enhances security by changing default behavior in 2025
30 January 2025, AWS Blog

Recap of Amazon Redshift key product announcements in 2024
17 December 2024, AWS Blog

How MuleSoft achieved cloud excellence through an event-driven Amazon Redshift lakehouse architecture
28 January 2025, AWS Blog

Ingest data from Google Analytics 4 and Google Sheets to Amazon Redshift using Amazon AppFlow
6 January 2025, AWS Blog

provided by Google News

Couchbase Introduces Capella AI Services to Streamline Development of Agentic AI Applications
2 December 2024, PR Newswire

Couchbase unveils Capella AI Services to accelerate agentic app development
5 December 2024, Blocks and Files

Earnings Alert: Couchbase Q4 Results Coming Feb 25 - Key Details for AI Data Platform Investors
4 February 2025, StockTitan

Couchbase introduces Capella AI services for AI agent design and deployment
2 December 2024, SiliconANGLE News

Couchbase Accelerates AI Agentic Application Development With New Database Services
2 December 2024, CRN

provided by Google News

Amazon OpenSearch Service announces Standard and Extended Support dates for Elasticsearch and OpenSearch versions
7 November 2024, AWS Blog

The Elasticsearch cloud now subject to open-source licence
3 September 2024, TechHQ

Elasticsearch will be open source again as CTO declares changed landscape
2 September 2024, DevClass

Elastic Introduces Better Binary Quantization Technique in Elasticsearch
11 November 2024, Business Wire

Elasticsearch Was Great, But Vector Databases Are the Future
18 November 2024, The New Stack

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here