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DBMS > GridGain vs. Kdb vs. Teradata vs. TigerGraph

System Properties Comparison GridGain vs. Kdb vs. Teradata vs. TigerGraph

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonKdb  Xexclude from comparisonTeradata  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteHigh performance Time Series DBMSA hybrid cloud data analytics software platform (Teradata Vantage)A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value store
Relational DBMS
Time Series DBMS
Vector DBMS
Relational DBMSGraph DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.gridgain.comkx.comwww.teradata.comwww.tigergraph.com
Technical documentationwww.gridgain.com/­docs/­index.htmlcode.kx.comdocs.teradata.comdocs.tigergraph.com
DeveloperGridGain Systems, Inc.Kx Systems, a division of First Derivatives plcTeradata
Initial release20072000 infokdb was released 2000, kdb+ in 200319842017
Current releaseGridGain 8.5.13.6, May 2018Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialcommercial
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 languageJava, C++, .NetqC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
hosted
Linux
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.yesyesyesno
Secondary indexesyesyes infotable attribute 'grouped'yes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (q)yes infoSQL 2016 + extensionsSQL-like query language (GSQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
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++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyes (cache interceptors and events)yes infowith viewsyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no infosimilar paradigm used for internal processingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.yesyesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsrights management via user accountsfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
GridGainKdbTeradataTigerGraph
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
GridGainKdbTeradataTigerGraph
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