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DBMS > Cassandra vs. Drizzle vs. Kinetica vs. TerarkDB

System Properties Comparison Cassandra vs. Drizzle vs. Kinetica vs. TerarkDB

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelWide column storeRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score118.99
Rank#10  Overall
#1  Wide column stores
Score0.73
Rank#205  Overall
#101  Relational DBMS
Score0.05
Rank#326  Overall
#51  Key-value stores
Websitecassandra.apache.orgwww.kinetica.comgithub.com/­Terark/­terarkdb
Technical documentationcassandra.apache.org/­doc/­latestwww.kinetica.com/­docsgithub.com/­Terark/­terarkdb/­wiki
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookDrizzle project, originally started by Brian AkerKineticaTerark
Initial release2008200820122016
Current release4.0, July 20217.2.4, September 20127.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGNU GPLcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaC++C, C++C++
Server operating systemsBSD
Linux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyesno
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yes infowith proprietary extensionsSQL-like DML and DDL statementsno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBCJDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersyesno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
Source-replica replication
Source-replica replicationnone
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 configuration
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDnono
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 RAMyes
User concepts infoAccess controlAccess rights for users can be defined per objectPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelno
More information provided by the system vendor
CassandraDrizzleKineticaTerarkDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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Native and fully vectorized database across both GPUs and CPUs, with memory first...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Any application requiring (1) real time insights, (2) time series analysis (3) geospatial...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
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Market metricsCassandra is used by 40% of the Fortune 100.
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The largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
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Related products and services
3rd partiesInstaclustr: Hosted & Managed Apache Cassandra as a Service
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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
CassandraDrizzleKineticaTerarkDB
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