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DBMS > GridGain vs. Heroic vs. Kyligence Enterprise vs. TerarkDB

System Properties Comparison GridGain vs. Heroic vs. Kyligence Enterprise vs. TerarkDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHeroic  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed analytics engine for big data, built on top of Apache KylinA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMSKey-value 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
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score0.44
Rank#259  Overall
#118  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.gridgain.comgithub.com/­spotify/­heroickyligence.io/­kyligence-enterprisegithub.com/­bytedance/­terarkdb
Technical documentationwww.gridgain.com/­docs/­index.htmlspotify.github.io/­heroicbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGridGain Systems, Inc.SpotifyKyligence, Inc.ByteDance, originally Terark
Initial release2007201420162016
Current releaseGridGain 8.5.1
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoApache 2.0commercialcommercial inforestricted open source version available
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, SQLJavaJavaC++
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnonono
Secondary indexesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesnone
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 ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.yesnonoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
no

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More resources
GridGainHeroicKyligence EnterpriseTerarkDB
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