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DBMS > Drizzle vs. OmniSci vs. Splice Machine

System Properties Comparison Drizzle vs. OmniSci vs. Splice Machine

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSplice Machine  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.A high performance, in-memory, column-oriented RDBMS, designed to run on GPUsOpen-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.08
Rank#105  Overall
#52  Relational DBMS
Score0.68
Rank#179  Overall
#91  Relational DBMS
Websitewww.omnisci.comwww.splicemachine.com
Technical documentationwww.omnisci.com/­docs/­latestdoc.splicemachine.com
DeveloperDrizzle project, originally started by Brian AkerMapD Technologies, Inc.John Leach
Initial release200820162014
Current release7.2.4, September 2012V42.0
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availableOpen Source infoextended commercial Enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ and CUDAJava
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux
OS X
Solaris
Windows
Data schemeyesyesyes
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.no
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesyes
APIs and other access methodsJDBCThrift
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
Java
JRuby
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-master replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infouses HBase instead
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
DrizzleOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Splice Machine
News

Distributed SQL System Review: Snowflake vs Splice Machine
18 September 2019

How to Modernize Legacy Applications with Machine Learning
9 September 2019

The Public Cloud Did Not Kill Hadoop – But Complexity Could
14 August 2019

How Data Science Silos Undermine Application Modernization
5 August 2019

What Happened to Hadoop? What Should You Do Now?
30 July 2019

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More resources
DrizzleOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Splice Machine
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Recent citations in the news

GPU Database Market (2019 To 2026) is booming worldwide with Kinetica, Omnisci, Sqream, Neo4j
18 October 2019, Weekly Spy

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

The insideBIGDATA IMPACT 50 List for Q4 2019
15 October 2019, insideBIGDATA

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Global GPU Database Market Explored In Latest Research | Key Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia
13 October 2019, 12 Minute Book

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On the Origin of Business Insight in a Data-Rich World
18 September 2019, Datanami

Splice Machine doubles down on managing machine learning
3 May 2019, ZDNet

Splice Machine Closes $16 Million Series B Round Led by GreatPoint Ventures
20 February 2019, PRNewswire

Splice Machine database travels full circle to predictive application platform
25 September 2017, ZDNet

Accenture partnership with Splice Machine sealed by investment
22 February 2019, TechTarget

provided by Google News

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