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DBMS > Cassandra vs. Drizzle vs. Kinetica

System Properties Comparison Cassandra vs. Drizzle vs. Kinetica

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  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.GPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score114.85
Rank#11  Overall
#1  Wide column stores
Score0.77
Rank#192  Overall
#96  Relational DBMS
Websitecassandra.apache.orgwww.kinetica.com
Technical documentationcassandra.apache.org/­doc/­latestwww.kinetica.com/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookDrizzle project, originally started by Brian AkerKinetica
Initial release200820082012
Current release3.11.10 , February 20217.2.4, September 20126.0
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C, C++
Server operating systemsBSD
Linux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBCJDBC
ODBC
RESTful HTTP 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
Server-side scripts infoStored proceduresnonouser defined functions
Triggersyesno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding
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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
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 integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDno
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 infoGPU vRAM or System RAM
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 level
More information provided by the system vendor
CassandraDrizzleKinetica
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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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Instaclustr: Hosted & Managed Apache Cassandra as a Service
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DataStax Enterprise: Apache Cassandra for enterprises.
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More resources
CassandraDrizzleKinetica
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Recent citations in the news

Need a Scale-Out Database? – Gigaom
26 March 2021, Gigaom

DataStax Unveils Zero-Downtime Cloud Migration Tool to Move Workloads from Apache Cassandra to DataStax Astra
31 March 2021, Business Wire

DataStax Delivers Open, Multi-Cloud Serverless Database
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Why use Cassandra-as-a-Service? -- ADTmag
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16 April 2021, The Courier

provided by Google News

GPU Database Market Value Predicted To Reach US$ XX Billion By 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA – NeighborWebSJ
17 April 2021, NeighborWebSJ

GPU Database Market 2021 Industry Size, Share, Growth and Top Companies Analysis | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
16 April 2021, SoccerNurds

Global GPU Database Market Size, Growth Factors: Latest Study Focuses On Current And Future Innovations
14 April 2021, The Courier

GPU Database Market is Expected to Show a Significant Growth During the Forecast Period 2021 – 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
16 April 2021, SoccerNurds

Exhaustive Study on GPU Database Market 2021 Strategic Assessment – NeighborWebSJ
18 April 2021, NeighborWebSJ

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