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DBMS > IBM Db2 vs. Informix vs. OmniSci

System Properties Comparison IBM Db2 vs. Informix vs. OmniSci

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Editorial information provided by DB-Engines
NameIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonInformix  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionCommon in IBM host environments, 2 different versions for host and Windows/LinuxA secure embeddable database from IBM, positioned besides DB2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
RDF store infoin DB2 LUW (Linux, Unix, Windows)
Document store
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score171.56
Rank#6  Overall
#5  Relational DBMS
Score25.40
Rank#27  Overall
#15  Relational DBMS
Score1.80
Rank#109  Overall
#54  Relational DBMS
Websitewww.ibm.com/­analytics/­us/­en/­db2www.ibm.com/­analytics/­informixwww.omnisci.com
Technical documentationwww.ibm.com/­support/­knowledgecenter/­SSEPGGinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
www.omnisci.com/­docs/­latest
DeveloperIBMIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.MapD Technologies, Inc.
Initial release1983 infohost version19842016
Current release12.1, October 201614.10, March 2019V4
License infoCommercial or Open Sourcecommercial infofree version is availablecommercial infofree developer edition availableOpen 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.
Implementation languageC and C++C, C++ and JavaC++ and CUDA
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyes
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.no
Secondary indexesyesyesno
SQL infoSupport of SQLyesyesyes
APIs and other access methodsJSON style queries infoMongoDB compatible
XQuery
ADO.NET
JDBC
ODBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux VersionShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)Master-master replication
Master-slave replication
Master-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authentication, authorization, and auditing controlsfine grained access rights according to SQL-standard

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More resources
IBM Db2 infoformerly named DB2 or IBM Database 2InformixOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Conferences and events

IDUG Db2 Tech Conference Europe 2019
Rotterdam, Netherlands, 29-24 October 2019

IIUG Informix Conference 2019
Los Angeles, California, USA, 22-26 September 2019

Recent citations in the news

IBM Patches Privilege Escalation Flaw In Db2 Mirror
18 September 2019, IT Jungle

Weighing the use of third-party database administration tools
19 September 2019, TechTarget

High-Performance Data Encryption and Db2
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Top 8 Cloud Data Warehouses
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11 September 2019, IT Jungle

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Oracle Founder Larry Ellison on Uber, Tesla, AI, and Self-Driving Cars
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Relational Databases Software Market to Witness Huge Growth by 2025 | Microsoft, MySQL, Oracle, SAP
20 September 2019, OnYourDesks

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Embedded Database Management Systems Market Detail Analysis focusing on Application, Types and Regional Outlook
16 September 2019, NewsStoner

Growth & Opportunities in Global Relational Databases Software Market 2019 | Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2019-2026 | Top Key Companies like Microsoft, MySQL, Oracle, SAP, PostgreSQL, Amazon RDS, IBM, MariaDB, Informix, Teradata, SQLite & Others
26 August 2019, Market Expert

provided by Google News

GPU Database Market Growth, Key Futuristic Trends And Competitive Landscape 2019-2025- Omnisci, Kinetica, Sqream
16 September 2019, Market Segment

GPU Database Market 2019 explosive growth with technical aspects by major players BlazingDB, Anaconda, OmniSci, Blazegraph, Fuzzy Logix, NVIDIA, Zilliz, Brytlyt, HeteroDB, SQream
12 September 2019, Tribune City

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

Greatest Progress in GPU Database Market to Access Global Industry Players like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
3 September 2019, Market Research Report

GPU Database Market Estimated to Rising at a Lucrative CAGR of +20% between 2019 and 2028 with Leading Vendors: Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
30 August 2019, Technology News

provided by Google News

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