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DBMS > GridGain vs. InterSystems Caché vs. Riak KV vs. TerminusDB

System Properties Comparison GridGain vs. InterSystems Caché vs. Riak KV vs. TerminusDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonRiak KV  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA multi-model DBMS and application serverDistributed, fault tolerant key-value storeScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesGraph DBMS
Secondary database modelsDocument storeDocument store
RDF store
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
Score3.84
Rank#76  Overall
#9  Key-value stores
Score0.19
Rank#311  Overall
#27  Graph DBMS
Websitewww.gridgain.comwww.intersystems.com/­products/­cacheterminusdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.intersystems.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestterminusdb.github.io/­terminusdb/­#
DeveloperGridGain Systems, Inc.InterSystemsOpenSource, formerly Basho TechnologiesDataChemist Ltd.
Initial release2007199720092018
Current releaseGridGain 8.5.12018.1.4, May 20203.2.0, December 202211.0.0, January 2023
License infoCommercial or Open Sourcecommercial, open sourcecommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLErlangProlog, Rust
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
Data schemeyesdepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesyesnono
Secondary indexesyesyesrestricted
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesnoSQL-like query language (WOQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
JavaScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesErlangyes
Triggersyes (cache interceptors and events)yesyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infono "single point of failure"Graph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationselectable replication factorJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Access rights for users, groups and rolesyes, using Riak SecurityRole-based access control

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More resources
GridGainInterSystems CachéRiak KVTerminusDB infoformer name was DataChemist
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