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DBMS > DataFS vs. EXASOL vs. GigaSpaces vs. JaguarDB vs. TerarkDB

System Properties Comparison DataFS vs. EXASOL vs. GigaSpaces vs. JaguarDB vs. TerarkDB

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonEXASOL  Xexclude from comparisonGigaSpaces  Xexclude from comparisonJaguarDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.High-performance, in-memory, MPP database specifically designed for in-memory analytics.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsPerformant, highly scalable DBMS for AI and IoT applicationsA 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 modelObject oriented DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Vector DBMS
Key-value store
Secondary database modelsGraph DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitenewdatabase.comwww.exasol.comwww.gigaspaces.comwww.jaguardb.comgithub.com/­bytedance/­terarkdb
Technical documentationdev.mobiland.com/­Overview.xspwww.exasol.com/­resourcesdocs.gigaspaces.com/­latest/­landing.htmlwww.jaguardb.com/­support.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperMobiland AGExasolGigaspaces TechnologiesDataJaguar, Inc.ByteDance, originally Terark
Initial release20182000200020152016
Current release1.1.263, October 202215.5, September 20203.3 July 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL V3.0commercial inforestricted open source version 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++, .NetC++ infothe server part. Clients available in other languagesC++
Server operating systemsWindowsLinux
macOS
Solaris
Windows
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonono infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesSQL-99 for query and DML statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
.Net
JDBC
ODBC
WebSocket
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
C++ API
Java API
Supported programming languages.Net
C
C#
C++
VB.Net
Java
Lua
Python
R
.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyesnono
Triggersno, except callback-events from server when changes happenedyesyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesnoyes
User concepts infoAccess controlWindows-ProfileAccess rights for users, groups and roles according to SQL-standardRole-based access controlrights management via user accountsno

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More resources
DataFSEXASOLGigaSpacesJaguarDBTerarkDB
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