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DBMS > Cassandra vs. Kinetica vs. Microsoft SQL Server vs. OmniSci

System Properties Comparison Cassandra vs. Kinetica vs. Microsoft SQL Server vs. OmniSci

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessGPU-accelerated database for real-time analysis of large and streaming datasetsMicrosofts relational DBMSA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score123.40
Rank#10  Overall
#1  Wide column stores
Score0.54
Rank#194  Overall
#96  Relational DBMS
Score1085.06
Rank#3  Overall
#3  Relational DBMS
Score1.80
Rank#109  Overall
#54  Relational DBMS
Websitecassandra.apache.orgwww.kinetica.comwww.microsoft.com/­en-us/­sql-serverwww.omnisci.com
Technical documentationcassandra.apache.org/­doc/­latestwww.kinetica.com/­docsdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationwww.omnisci.com/­docs/­latest
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookKineticaMicrosoftMapD Technologies, Inc.
Initial release2008201219892016
Current release3.11.4, February 20196.0SQL Server 2017, October 2017V4
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial inforestricted free version is availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++C++ and CUDA
Server operating systemsBSD
Linux
OS X
Windows
LinuxLinux
Windows
Linux
Data schemeschema-freeyesyesyes
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.nonoyesno
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyesno
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statementsyesyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP API
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMaster-slave replicationyes, but depending on the SQL-Server EditionMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDno
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.noyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
CassandraKineticaMicrosoft SQL ServerOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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...
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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 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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More resources
CassandraKineticaMicrosoft SQL ServerOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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