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DBMS > Apache Cassandra vs. FatDB vs. Greenplum vs. Hazelcast

System Properties Comparison Apache Cassandra vs. FatDB vs. Greenplum vs. Hazelcast

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonFatDB  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA .NET NoSQL DBMS that can integrate with and extend SQL Server.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A widely adopted in-memory data grid
Primary database modelWide column storeDocument store
Key-value store
Relational DBMSKey-value store
Secondary database modelsVector DBMS infostarting with release V5Document store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score98.94
Rank#11  Overall
#1  Wide column stores
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Websitecassandra.apache.orggreenplum.orghazelcast.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.greenplum.orghazelcast.org/­imdg/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookFatCloudPivotal Software Inc.Hazelcast
Initial release2008201220052008
Current release5.0-rc1, July 20247.0.0, September 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
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.
Implementation languageJavaC#Java
Server operating systemsBSD
Linux
OS X
Windows
WindowsLinuxAll OS with a Java VM
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosince Version 4.2yes infothe object must implement a serialization strategy
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)no infoVia inetgration in SQL ServeryesSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#C
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsyesyes infoEvent Listeners, Executor Services
Triggersyesyes infovia applicationsyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factorSource-replica replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 objectno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
Apache CassandraFatDBGreenplumHazelcast
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsApache Cassandra is used by 40% of the Fortune 100.
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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