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DBMS > EsgynDB vs. Kinetica vs. MaxDB vs. OmniSci

System Properties Comparison EsgynDB vs. Kinetica vs. MaxDB vs. OmniSci

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonKinetica  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGPU-accelerated database for real-time analysis of large and streaming datasetsA robust and reliable RDBMS optimized to run all major SAP solutionsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#261  Overall
#119  Relational DBMS
Score0.67
Rank#196  Overall
#94  Relational DBMS
Score4.50
Rank#76  Overall
#41  Relational DBMS
Score1.98
Rank#122  Overall
#59  Relational DBMS
Websiteesgyn.comwww.kinetica.commaxdb.sap.comwww.omnisci.com
Technical documentationesgyn.com/­developerswww.kinetica.com/­docsmaxdb.sap.com/­documentationdocs.omnisci.com/­latest
DeveloperEsgynKineticaSAP, acquired from Software AG (Adabas-D) in 1997MapD Technologies, Inc.
Initial release2015201219842016
Current release6.07.9.09 (July 2018), 2018V4
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition freeOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC, C++C++C++ and CUDA
Server operating systemsLinuxLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
Perl
PHP
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsyesno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersMaster-slave replicationMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnoyes
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-standardfine grained access rights according to SQL-standard

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More resources
EsgynDBKineticaMaxDB infoformerly named Adabas-DOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

Esgyn Strato: Esgyn announces a Hybrid / Multi Cloud Big Data Platform Service to run and optimize your b..
30 November 2018, Markets Insider

Esgyn Corporation and Ampool Partner to Bring In-Memory Optimized Operational, Transactional and Real-Time Analytics to Hadoop.
18 May 2017, PR Newswire

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

provided by Google News

Impact of Covid-19 Global GPU Database Market (2020 To 2027) | Kinetica, Omnisci, Sqream, Neo4j, Nvidia
3 July 2020, Bandera County Courier

Global GPU Database Market 2020 Top Companies – Kinetica, Omnisci, Sqream, Neo4j, Nvidia
26 June 2020, Bandera County Courier

GPU Database Market Survey Report 2020-2026: Kinetica DB, OmniSci, Neo4j
1 July 2020, NJ MMA News

GPU data warehouse startup SQream lands $39.4M funding round
24 June 2020, SiliconANGLE

Earth Challenge 2020 Releases Native Insect and Food Security Citizen Science Applications Built on Kinetica in Support of National Insect Week
22 June 2020, Business Wire

provided by Google News

Actifio Advances Its Cloud-Centric Software Platform with Actifio 10c
16 December 2019, AiThority

Actifio's latest release speeds up multicloud data recovery
16 December 2019, SiliconANGLE News

Alibaba Cloud Offers Access to SAP Software for...
5 June 2018, Alizila

5 Best practices for protecting SAP in Linux environments
19 June 2018, ITProPortal

Agassi, Sikka, Leukert, Mueller
21 February 2019, E3zine.com

provided by Google News

Impact of Covid-19 Global GPU Database Market (2020 To 2027) | Kinetica, Omnisci, Sqream, Neo4j, Nvidia
3 July 2020, Bandera County Courier

GPU Database Market Survey Report 2020-2026: Kinetica DB, OmniSci, Neo4j
1 July 2020, NJ MMA News

Global GPU Database Market 2020 Top Companies – Kinetica, Omnisci, Sqream, Neo4j, Nvidia
26 June 2020, Bandera County Courier

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

GPU Database Market Size, Opportunities And Forecast Analysis To 2026|Omnisci, Sqream, Neo4j
2 July 2020, Weekly Wall

provided by Google News

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