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DBMS > Cassandra vs. Kinetica vs. OmniSci vs. Sequoiadb

System Properties Comparison Cassandra vs. Kinetica vs. OmniSci vs. Sequoiadb

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSequoiadb  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 datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsNewSQL database with distributed OLTP and SQL
Primary database modelWide column storeRelational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score123.22
Rank#10  Overall
#1  Wide column stores
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score2.08
Rank#105  Overall
#52  Relational DBMS
Score0.27
Rank#239  Overall
#33  Document stores
#114  Relational DBMS
Websitecassandra.apache.orgwww.kinetica.comwww.omnisci.comwww.sequoiadb.com
Technical documentationcassandra.apache.org/­doc/­latestwww.kinetica.com/­docswww.omnisci.com/­docs/­latestwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookKineticaMapD Technologies, Inc.Sequoiadb Ltd.
Initial release2008201220162013
Current release3.11.4, February 20196.0V4
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoServer: AGPL; Client: Apache V2
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++ and CUDAC++
Server operating systemsBSD
Linux
OS X
Windows
LinuxLinuxLinux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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.nononono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesnoyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statementsyesSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnoJavaScript
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMaster-slave replicationMaster-master replicationMaster-slave 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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnonoDocument is locked during a transaction
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 RAMyesno
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-standardsimple password-based access control
More information provided by the system vendor
CassandraKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Sequoiadb
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
SequoiaDB is a financial-level distributed database including three storage modes:...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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SequoiaDB provides a leading OLTP solution in the industry, and perfectly addresses...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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As a financial-level distributed database management system, SequoiaDB supports distributed...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
China Minsheng Bank ​ Bank of China Hengfeng Bank China GUANGFA Bank PICC China Mobile...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
2017,2018 Gartner’s Database Report Listed More than 1000 enterprise customers and...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Open source GPL/Commercial licensing for enterprise version and services
» more

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More resources
CassandraKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Sequoiadb
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