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DBMS > GridGain vs. Kyligence Enterprise vs. Splice Machine vs. TinkerGraph

System Properties Comparison GridGain vs. Kyligence Enterprise vs. Splice Machine vs. TinkerGraph

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSplice Machine  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA distributed analytics engine for big data, built on top of Apache KylinOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSGraph 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
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.gridgain.comkyligence.io/­kyligence-enterprisesplicemachine.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.gridgain.com/­docs/­index.htmlsplicemachine.com/­how-it-works
DeveloperGridGain Systems, Inc.Kyligence, Inc.Splice Machine
Initial release2007201620142009
Current releaseGridGain 8.5.13.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaJavaJava
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeyesyesyesschema-free
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.yesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLANSI SQL for queries (using Apache Calcite)yesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
TinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Groovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoJavano
Triggersyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)no
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and roles according to SQL-standardno

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More resources
GridGainKyligence EnterpriseSplice MachineTinkerGraph
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