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DBMS > Apache Kylin vs. Geode vs. GridGain vs. OrigoDB vs. STSdb

System Properties Comparison Apache Kylin vs. Geode vs. GridGain vs. OrigoDB vs. STSdb

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGeode  Xexclude from comparisonGridGain  Xexclude from comparisonOrigoDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGridGain is an in-memory computing platform, built on Apache IgniteA fully ACID in-memory object graph databaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Document store
Object oriented DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitekylin.apache.orggeode.apache.orgwww.gridgain.comorigodb.comgithub.com/­STSSoft/­STSdb4
Technical documentationkylin.apache.org/­docsgeode.apache.org/­docswww.gridgain.com/­docs/­index.htmlorigodb.com/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GridGain Systems, Inc.Robert Friberg et alSTS Soft SC
Initial release2015200220072009 infounder the name LiveDB2011
Current release3.1.0, July 20201.1, February 2017GridGain 8.5.14.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++, .NetC#C#
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
Linux
Windows
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes infoprimitive types and user defined types (classes)
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.nonoyesno infocan be achieved using .NET
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query language (OQL)ANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
HTTP API
LINQ
.NET Client API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.NetC#
Java
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)yesno
Triggersyes infoCache Event Listenersyes (cache interceptors and events)yes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights per client and object definableSecurity Hooks for custom implementationsRole based authorizationno

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More resources
Apache KylinGeodeGridGainOrigoDBSTSdb
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