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DBMS > Cassandra vs. Druid vs. Microsoft Azure Cosmos DB

System Properties Comparison Cassandra vs. Druid vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonDruid  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 accessOpen-source analytics data store designed for OLAP queries on timeseries dataGlobally distributed, horizontally scalable, multi-model database service
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score123.22
Rank#10  Overall
#1  Wide column stores
Score1.84
Rank#113  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score31.33
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitecassandra.apache.orgdruid.ioazure.microsoft.com/­services/­cosmos-db
Technical documentationcassandra.apache.org/­doc/­latestdruid.io/­docs/­latest/­design/­index.htmldocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookMetamarkets Group and contributorsMicrosoft
Initial release200820122014
Current release3.11.4, February 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache license v2commercial
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
Unix
hosted
Data schemeschema-freeyes infoschema-less columns are supportedschema-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 support via Apache Calcite adapterSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JSON over HTTPDocumentDB 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
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnonoJavaScript
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 possibleyes, via HDFS, S3 or other storage enginesyes 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
Immediate ConsistencyBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoMulti-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.nono
User concepts infoAccess controlAccess rights for users can be defined per objectno infoavailable via extensionsAccess rights can be defined down to the item level
More information provided by the system vendor
CassandraDruidMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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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DataStax Enterprise: Apache Cassandra for enterprises.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
CassandraDruidMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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