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DBMS > Drizzle vs. Kinetica vs. OmniSci vs. ScyllaDB

System Properties Comparison Drizzle vs. Kinetica vs. OmniSci vs. ScyllaDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonScyllaDB  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.
DescriptionMySQL 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 datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#202  Overall
#97  Relational DBMS
Score1.73
Rank#119  Overall
#57  Relational DBMS
Score1.90
Rank#109  Overall
#21  Key-value stores
#8  Wide column stores
Websitewww.kinetica.comwww.omnisci.comwww.scylladb.com
Technical documentationwww.kinetica.com/­docsdocs.omnisci.com/­latestdocs.scylladb.com
DeveloperDrizzle project, originally started by Brian AkerKineticaMapD Technologies, Inc.ScyllaDB
Initial release2008201220162015
Current release7.2.4, September 20126.0V4Scylla Open Source 4.0.0, May 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoOpen Source (AGPL), commercial license 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.
Implementation languageC++C, C++C++ and CUDAC++
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxLinux
Data schemeyesyesyesschema-free
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.nonono
Secondary indexesyesyesnoyes infocluster global secondary indices
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnouser defined functionsnoyes, Lua
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoAtomicity and isolation are supported for single operations
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.yes infoGPU vRAM or System RAMyesyes infoin-memory tables
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
DrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018ScyllaDB
Specific characteristicsScylla is a highly-available, highly-scalable, highly-performant NoSQL database....
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosAdTech ( AdGear , Dstillery , MediaMath , Numberly , SAS , SteelHouse , Xandr) Customer...
» more
Key customersComcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
» more
Licensing and pricing modelsScylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
» more

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DrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018ScyllaDB
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