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DBMS > Cassandra vs. Citus vs. Hazelcast

System Properties Comparison Cassandra vs. Citus vs. Hazelcast

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonCitus  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA widely adopted in-memory data grid
Primary database modelWide column storeRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score110.93
Rank#11  Overall
#1  Wide column stores
Score1.36
Rank#144  Overall
#70  Relational DBMS
Score9.18
Rank#48  Overall
#6  Key-value stores
Websitecassandra.apache.orgwww.citusdata.comhazelcast.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.citusdata.comhazelcast.org/­imdg/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookHazelcast
Initial release200820102008
Current release3.11.10 , February 20218.1, December 20184.2, March 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava
Server operating systemsBSD
Linux
OS X
Windows
LinuxAll OS with a Java VM
Data schemeschema-freeyesschema-free
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.noyes infospecific XML type available, but no XML query functionalityyes infothe object must implement a serialization strategy
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yes infostandard, with numerous extensionsSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoEvent Listeners, Executor Services
Triggersyesyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleSource-replica replication infoother methods possible by using 3rd party extensionsyes infoReplicated Map
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
Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDone or two-phase-commit; repeatable reads; read commited
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.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
CassandraCitusHazelcast
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Hazelcast is an in-memory computing platform that runs applications with extremely...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Hazelcast has an optimized, multi-threaded architecture that enables the highest...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Hazelcast powers many types of large-scale, data processing applications. A sample...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Hazelcast customers include 50 of the world’s largest financial services companies,...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Hazelcast provides both open source and commercial software. The open source offering...
» more

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Related products and services
3rd partiesDataStax Enterprise: Apache Cassandra for enterprises.
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Instaclustr: Hosted & Managed Apache Cassandra as a Service
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CData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
CassandraCitusHazelcast
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