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DBMS > Apache Cassandra vs. Datastax Enterprise vs. Microsoft Azure Cosmos DB

System Properties Comparison Apache Cassandra vs. Datastax Enterprise vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Globally distributed, horizontally scalable, multi-model database service
Primary database modelWide column storeWide column storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsVector DBMS infostarting with release V5Document store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score108.21
Rank#11  Overall
#1  Wide column stores
Score3.94
Rank#67  Overall
#4  Wide column stores
Score22.55
Rank#26  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#2  Wide column stores
Websitecassandra.apache.orgwww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­services/­cosmos-db
Technical documentationcassandra.apache.org/­doc/­latestdocs.datastax.comlearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookDataStaxMicrosoft
Initial release200820112014
Current release5.0-rc1, July 20246.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
hosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.nono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
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
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnonoJavaScript
TriggersyesyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infono "single point of failure"Sharding 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 possibleconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyeswith 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
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsno infoAtomicity and isolation are supported for single operationsMulti-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.noyes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users can be defined per objectAccess rights can be defined down to the item level
More information provided by the system vendor
Apache CassandraDatastax EnterpriseMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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