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DBMS > GridGain vs. Netezza vs. RocksDB vs. Splice Machine vs. Splunk

System Properties Comparison GridGain vs. Netezza vs. RocksDB vs. Splice Machine vs. Splunk

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteData warehouse and analytics appliance part of IBM PureSystemsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAnalytics Platform for Big Data
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value storeRelational DBMSSearch engine
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
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score93.02
Rank#13  Overall
#2  Search engines
Websitewww.gridgain.comwww.ibm.com/­products/­netezzarocksdb.orgsplicemachine.comwww.splunk.com
Technical documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-worksdocs.splunk.com/­Documentation/­Splunk
DeveloperGridGain Systems, Inc.IBMFacebook, Inc.Splice MachineSplunk Inc.
Initial release20072000201320142003
Current releaseGridGain 8.5.19.4.0, June 20243.1, March 2021
License infoCommercial or Open Sourcecommercial, open sourcecommercialOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license availablecommercial infoLimited free edition and free developer edition available
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, SQLC++Java
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux infoincluded in applianceLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesnoyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
OLE DB
C++ API
Java API
JDBC
Native Spark Datasource
ODBC
HTTP REST
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesnoyes infoJavayes
Triggersyes (cache interceptors and events)noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationyesMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesyesno
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Users with fine-grained authorization conceptnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
GridGainNetezza infoAlso called PureData System for Analytics by IBMRocksDBSplice MachineSplunk
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