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DBMS > Kinetica vs. LevelDB vs. OmniSci

System Properties Comparison Kinetica vs. LevelDB vs. OmniSci

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#195  Overall
#97  Relational DBMS
Score3.29
Rank#82  Overall
#14  Key-value stores
Score2.56
Rank#98  Overall
#50  Relational DBMS
Websitewww.kinetica.comgithub.com/­google/­leveldbwww.omnisci.com
Technical documentationwww.kinetica.com/­docsgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdwww.omnisci.com/­docs/­latest
DeveloperKineticaGoogleMapD Technologies, Inc.
Initial release201220112016
Current release6.01.22, May 2019V4
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoApache Version 2; 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++C++C++ and CUDA
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
C++ API
Go
Java infoThird party binding
Node.js infoThird party binding
Python infoThird party binding
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Go
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelnofine grained access rights according to SQL-standard

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

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

GPU Database Market Graceful for an Touchy Development in the Near Future
15 July 2019, Market Reports

GPU analytics speeds up deep learning, other data insights
12 July 2019, TechTarget

+20% CAGR Achieved by GPU Database Market over Period 2019- 2026 with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
25 June 2019, thewirenewsnow.com

Know in depth about Global GPU Database Market 2019-2026 Profiling key players like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
25 June 2019, Market Trends

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