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DBMS > H2 vs. OmniSci

System Properties Comparison H2 vs. OmniSci

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.72
Rank#47  Overall
#30  Relational DBMS
Score1.23
Rank#157  Overall
#76  Relational DBMS
Websitewww.h2database.comwww.omnisci.com
Technical documentationwww.h2database.com/­html/­main.htmldocs.omnisci.com
DeveloperThomas MuellerMapD Technologies, Inc.
Initial release20052016
Current release1.4.200, October 20195.6, April 2021
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDA
Server operating systemsAll OS with a Java VMLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesno
SQL infoSupport of SQLyesyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
Supported programming languagesJavaAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
H2OmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

Incredible Growth of GPU Database Market by 2028 | Kinetica, Omnisci, Sqream
4 October 2021, Global Banking And Finance Review

GPU Database Market Worldwide: Latest Industry Trends, Supply, Demand, Future prospects by 2026 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. – Puck77
18 October 2021, Puck77

GPU Database Maket Report Covering Market Dynamics and How Companies can Combat the Challenging Environment
6 October 2021, Global Banking And Finance Review

OmniSci Announces Multiple Opportunities To Accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16
12 April 2021, PRNewswire

GPU Database Market Disclosing Latest Trends and Recent Advancement Outlook by 2027
11 October 2021, Global Banking And Finance Review

provided by Google News

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