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DBMS > GridGain vs. OrientDB vs. Splunk vs. Vitess

System Properties Comparison GridGain vs. OrientDB vs. Splunk vs. Vitess

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOrientDB  Xexclude from comparisonSplunk  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteMulti-model DBMS (Document, Graph, Key/Value)Analytics Platform for Big DataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Graph DBMS
Key-value store
Search engineRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score93.02
Rank#13  Overall
#2  Search engines
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitewww.gridgain.comorientdb.orgwww.splunk.comvitess.io
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.orientdb.com/­docs/­last/­index.htmldocs.splunk.com/­Documentation/­Splunkvitess.io/­docs
DeveloperGridGain Systems, Inc.OrientDB LTD; CallidusCloud; SAPSplunk Inc.The Linux Foundation, PlanetScale
Initial release2007201020032013
Current releaseGridGain 8.5.13.2.29, March 202415.0.2, December 2022
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoApache version 2commercial infoLimited free edition and free developer edition availableOpen Source infoApache Version 2.0, commercial licenses 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 languageJava, C++, .Net, Python, REST, SQLJavaGo
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
All OS with a Java JDK (>= JDK 6)Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes
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.yesnoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language, no joinsno infoSplunk Search Processing Language for search commandsyes infowith proprietary extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Java, Javascriptyesyes infoproprietary syntax
Triggersyes (cache interceptors and events)Hooksyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no infocould be achieved with distributed queriesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes inforelationship in graphsnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesnoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Access rights for users and roles; record level security configurableAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
GridGainOrientDBSplunkVitess
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