DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Cassandra vs. IBM Db2 vs. MongoDB vs. OpenSearch

System Properties Comparison Cassandra vs. IBM Db2 vs. MongoDB vs. OpenSearch

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMongoDB  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessCommon in IBM host environments, 2 different versions for host and Windows/LinuxOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelWide column storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBDocument storeSearch engine
Secondary database modelsVector DBMS infostarting with release V5Document store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score98.83
Rank#12  Overall
#1  Wide column stores
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score421.08
Rank#5  Overall
#1  Document stores
Score16.03
Rank#37  Overall
#4  Search engines
Websitecassandra.apache.orgwww.ibm.com/­products/­db2www.mongodb.comgithub.com/­opensearch-project
opensearch.org
Technical documentationcassandra.apache.org/­doc/­latestwww.ibm.com/­docs/­en/­db2www.mongodb.com/­docs/­manualopensearch.org/­docs/­latest
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookIBMMongoDB, IncAmazon Web Services
Initial release20081983 infohost version20092021
Current release4.1.3, July 202312.1, October 20166.0.7, June 20232.5.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infofree version is availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
  • Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
  • STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJavaC and C++C++Java
Server operating systemsBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.no
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yesRead-only SQL queries via the MongoDB Atlas SQL InterfaceSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresnoyesJavaScriptyes
Triggersyesyesyes infoin MongoDB Atlas onlyyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infoonly with Windows/Unix/Linux VersionSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infowith separate tools (MQ, InfoSphere)Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
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 integritynoyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
CassandraIBM Db2 infoformerly named DB2 or IBM Database 2MongoDBOpenSearch
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
The OpenSearch Project offers open source software licensed under Apache License...
» more
News

An Introduction to David Jones-Gilardi, Developer Relations
11 June 2024

Introducing Tejas Kumar, Developer Relations Engineer
7 June 2024

Indexing All of Wikipedia on a Laptop
5 June 2024

An Introduction to Phil Nash, Developer Relations
3 June 2024

Focus on Creativity, Not Clusters: DataStax Mission Control in Action!
30 May 2024

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

Cassandra Forward event: Want to level up your Cassandra game? Watch now replays of the March 2023 sessions.
» more
Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more
Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
» more

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

More resources
CassandraIBM Db2 infoformerly named DB2 or IBM Database 2MongoDBOpenSearch
DB-Engines blog posts

Cassandra keeps climbing the ranks of the DB-Engines Ranking
3 May 2016, Matthias Gelbmann

Oracle is the DBMS of the Year
5 January 2016, Paul Andlinger, Matthias Gelbmann

Winners, losers and an attractive newcomer in Novembers DB-Engines ranking
2 November 2015, Paul Andlinger

show all

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

Cassandra is the “best f*cking database for gen AI,” says DataStax CEO
13 December 2023, VentureBeat

Here's What to Know About Apache Cassandra 5.0
15 April 2024, hackernoon.com

DataStax Enterprise 4.0 Gives in-Memory Option to Cassandra
31 May 2024, Data Center Knowledge

How Uber Optimized Cassandra Operations At Scale
20 July 2023, Uber

Microsoft extends life support for aging Apache Cassandra 3.11 database
10 October 2023, The Register

provided by Google News

SAP and IBM Expand Partnership, Introduce Optimized DB2 Database
14 June 2024, br.ADVFN.com

Use AWS DMS to migrate data from IBM Db2 DPF to an AWS target | Amazon Web Services
28 May 2024, AWS Blog

IBM Collaborates with AWS to Launch a New Cloud Database Offering, Enabling Customers to Optimize Data ...
27 November 2023, IBM Newsroom

Infotel Returns to IDUG North America 2024 in Charlotte to Showcase Latest Db2 Solutions and Feature Presentation ...
13 June 2024, PR Web

Precisely Supports Amazon RDS for Db2 Service with Real-Time Data Integration Capabilities
3 April 2024, precisely.com

provided by Google News

MongoDB Joins Digital Twin Consortium, Bringing AI and Real-Time Data Expertise
12 June 2024, Datanami

MongoDB (NASDAQ:MDB) Shares Up 2.1%
16 June 2024, Defense World

Alger Mid Cap Growth Fund Maintains its Conviction in MongoDB (MDB)
14 June 2024, Yahoo Finance

MongoDB Stock Sinks 20% As Company Lowers Sales Guidance
31 May 2024, Investor's Business Daily

Why MongoDB Stock Plunged Today
31 May 2024, The Motley Fool

provided by Google News

Modernize your data observability with Amazon OpenSearch Service zero-ETL integration with Amazon S3 | Amazon ...
5 June 2024, AWS Blog

Behind the Scenes: Upgrading OpenSearch efficiency with OCI flexible vertical scaling
13 February 2024, blogs.oracle.com

Optimize storage costs in Amazon OpenSearch Service using Zstandard compression | Amazon Web Services
11 June 2024, AWS Blog

OCI Search with OpenSearch 2.11 delivers easy access to latest AI innovations
13 March 2024, blogs.oracle.com

Simplify your query management with search templates in Amazon OpenSearch Service | Amazon Web Services
3 April 2024, AWS Blog

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

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

Neo4j logo

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

Present your product here