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DBMS > Cassandra vs. FoundationDB vs. Postgres-XL

System Properties Comparison Cassandra vs. FoundationDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonFoundationDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessOrdered key-value store. Core features are complimented by layers.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelWide column storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score110.93
Rank#11  Overall
#1  Wide column stores
Score1.21
Rank#155  Overall
#26  Document stores
#28  Key-value stores
#76  Relational DBMS
Score0.52
Rank#230  Overall
#111  Relational DBMS
Websitecassandra.apache.orgwww.foundationdb.orgwww.postgres-xl.org
Technical documentationcassandra.apache.org/­doc/­latestapple.github.io/­foundationdbwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookFoundationDB
Initial release200820132014 infosince 2012, originally named StormDB
Current release3.11.10 , February 20216.2.28, November 202010 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoMozilla public license
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 languageJavaC++C
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Data schemeschema-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes
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 infoXML type, but no XML query functionality
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionnoyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)supported in specific SQL layer onlyyes infodistributed, parallel query execution
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
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoin SQL-layer onlyuser defined functions
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Linearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID infoMVCC
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.nono
User concepts infoAccess controlAccess rights for users can be defined per objectnofine grained access rights according to SQL-standard
More information provided by the system vendor
CassandraFoundationDBPostgres-XL
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» 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

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