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DBMS > GridGain vs. Kdb vs. Netezza vs. SAP SQL Anywhere vs. Yaacomo

System Properties Comparison GridGain vs. Kdb vs. Netezza vs. SAP SQL Anywhere vs. Yaacomo

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonKdb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHigh performance Time Series DBMSData warehouse and analytics appliance part of IBM PureSystemsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Websitewww.gridgain.comkx.comwww.ibm.com/­products/­netezzawww.sap.com/­products/­technology-platform/­sql-anywhere.htmlyaacomo.com
Technical documentationwww.gridgain.com/­docs/­index.htmlcode.kx.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperGridGain Systems, Inc.Kx Systems, a division of First Derivatives plcIBMSAP infoformerly SybaseQ2WEB GmbH
Initial release20072000 infokdb was released 2000, kdb+ in 2003200019922009
Current releaseGridGain 8.5.13.6, May 201817, July 2015
License infoCommercial or Open Sourcecommercial, open sourcecommercial infofree 32-bit versioncommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLq
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
OS X
Solaris
Windows
Linux infoincluded in applianceAIX
HP-UX
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesyesyesno
Secondary indexesyesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (q)yesyesyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
OLE DB
ADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsyesyes, in C/C++, Java, .Net or Perl
Triggersyes (cache interceptors and events)yes infowith viewsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationSource-replica replicationSource-replica replication infoDatabase mirroringSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no infosimilar paradigm used for internal processingyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
rights management via user accountsUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
GridGainKdbNetezza infoAlso called PureData System for Analytics by IBMSAP SQL Anywhere infoformerly called Adaptive Server AnywhereYaacomo
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
GridGainKdbNetezza infoAlso called PureData System for Analytics by IBMSAP SQL Anywhere infoformerly called Adaptive Server AnywhereYaacomo
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