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DBMS > OmniSci vs. OpenEdge

System Properties Comparison OmniSci vs. OpenEdge

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Editorial information provided by DB-Engines
NameOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsApplication development environment with integrated database management system
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.74
Rank#103  Overall
#52  Relational DBMS
Score3.82
Rank#79  Overall
#41  Relational DBMS
Websitewww.omnisci.comwww.progress.com/­openedge
Technical documentationwww.omnisci.com/­docs/­latestdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperMapD Technologies, Inc.Progress Software Corporation
Initial release20161984
Current releaseV4OpenEdge 11.7, March 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDA
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
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 indexesnoyes
SQL infoSupport of SQLyesyes infoclose to SQL 92
APIs and other access methodsThrift
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave 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 integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers and groups

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

Global GPU Database Market Research Strategies 2019 – Kinetica, Omnisci, Sqream, Nvidia
20 August 2019, Market Reports

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

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2025 | Kinetica, Omnisci, Sqream
31 July 2019, Daily Research Chronicle

GPU Database Market SWOT Analysis including key players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb
26 July 2019, PortNews24

GPU Database Market Size, Status and Forecast 2019-2025 | Omnisci, Sqream, Kinetica
24 July 2019, Market Analyst

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17 August 2015, Dataconomy

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3 April 2019, Insurance News Net

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