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DBMS > Apache Cassandra vs. FoundationDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Apache Cassandra vs. FoundationDB vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Globally distributed, horizontally scalable, multi-model database service
Primary database modelWide column storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsVector DBMS infostarting with release V5Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score108.05
Rank#11  Overall
#1  Wide column stores
Score0.89
Rank#197  Overall
#32  Document stores
#29  Key-value stores
#92  Relational DBMS
Score22.94
Rank#26  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#2  Wide column stores
Websitecassandra.apache.orggithub.com/­apple/­foundationdbazure.microsoft.com/­services/­cosmos-db
Technical documentationcassandra.apache.org/­doc/­latestapple.github.io/­foundationdblearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookFoundationDBMicrosoft
Initial release200820132014
Current release5.0-rc1, July 20246.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
hosted
Data schemeschema-freeschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes infoJSON types
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 solutionnoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)supported in specific SQL layer onlySQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
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#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoin SQL-layer onlyJavaScript
TriggersyesnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Linearizable consistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDMulti-item ACID transactions with snapshot isolation within a partition
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.no
User concepts infoAccess controlAccess rights for users can be defined per objectnoAccess rights can be defined down to the item level
More information provided by the system vendor
Apache CassandraFoundationDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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Apache CassandraFoundationDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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