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DBMS > EnterpriseDB vs. Kinetica vs. OmniSci

System Properties Comparison EnterpriseDB vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameEnterpriseDB  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options, complemented by tool kits for management, integration, and migration.GPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#104  Overall
#52  Relational DBMS
Score0.56
Rank#195  Overall
#97  Relational DBMS
Score2.56
Rank#98  Overall
#50  Relational DBMS
Websitewww.enterprisedb.comwww.kinetica.comwww.omnisci.com
Technical documentationwww.enterprisedb.com/­resources/­product-documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperEnterpriseDBKineticaMapD Technologies, Inc.
Initial release200520122016
Current releaseV10, November 20176.0V4
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
EDB Postgres Cloud Database Service: Fully managed and Oracle compatible Postgres cloud database service on AWS with high availability, automated failover, streaming logs, enterprise security and easy scale out.
Implementation languageCC, C++C++ and CUDA
Server operating systemsLinux
Windows
LinuxLinux
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infostandard with numerous extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsnative C library
streaming API for large objects
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
EnterpriseDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsPostgreSQL with added Security, Performance, DBA, Developer, and Oracle compatibile...
» more
Competitive advantagesComplete Postgres platform with enterprise-class Postgres, Management, Integration,...
» more
Typical application scenariosNew applications for transactional, reporting and mixed workloads that need to integrate...
» more
Key customersMasterCard, Hewlett Packard Enterprise, Ericsson, AT&T, Alibaba, Korea Telecom and...
» more
Market metricsListed in Gartner Magic Quadrant 2013-2018 with over 4,000 customers.
» more
Licensing and pricing modelsOpen Source and Commercial core based licensing.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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

EnterpriseDB goes private
26 June 2019, ZDNet

EnterpriseDB Acquired by Great Hill Partners
26 June 2019, PRNewswire

PostgreSQL database specialist EnterpriseDB gets new backing
28 June 2019, TechTarget

PeakEquity sells EnterpriseDB to Great Hill
8 July 2019, PE Hub

Great Hill lands EnterpriseDB
27 June 2019, PitchBook News & Analysis

provided by Google News

Kinetica Brings on Strategic Asia-Pacific Leadership in Response to Strong Market Demand
25 June 2019, Business Wire

Kinetica Appoints Stuart Fisher as President of Asia Pacific
28 June 2019, MarTech Advisor

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

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

+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

provided by Google News

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

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

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

+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

provided by Google News

Job opportunities

Postgres Consultant(Remote w/ travel)
EnterpriseDB, Remote

Lead Database Administrator
Fifth Third Bank, Cincinnati, OH

Sales Engineer
EnterpriseDB, Remote

Inside Account Executive
EnterpriseDB, Bedford, MA

Software Development Engineer in Test : 19-02957
Akraya Inc., San Jose, CA

Technology Architect - Data Engineering
In-Q-Tel, Arlington, VA

Senior Backend Test Engineer
OmniSci, San Francisco, CA

Engineering Manager - Backend Core Team
OmniSci, San Francisco, CA

Sales Director - Department of Defense
OmniSci, Washington, DC

jobs by Indeed




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