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DBMS > Altibase vs. Badger vs. EJDB vs. GigaSpaces vs. TimesTen

System Properties Comparison Altibase vs. Badger vs. EJDB vs. GigaSpaces vs. TimesTen

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonBadger  Xexclude from comparisonEJDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Embeddable document-store database library with JSON representation of queries (in MongoDB style)High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSKey-value storeDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#200  Overall
#93  Relational DBMS
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.13
Rank#331  Overall
#46  Document stores
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitealtibase.comgithub.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdbwww.gigaspaces.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.gigaspaces.com/­latest/­landing.htmldocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperAltibaseDGraph LabsSoftmotionsGigaspaces TechnologiesOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19992017201220001998
Current releasev7.3, 2023, August 202315.5, September 2020Release 22.1
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0Open Source infoGPLv2Open Source infoApache Version 2; Commercial licenses availablecommercial
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 languageC++GoCJava, C++, .Net
Server operating systemsAIX
HP-UX
Linux
BSD
Linux
OS X
Solaris
Windows
server-lessLinux
macOS
Solaris
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infostring, integer, double, bool, date, object_idyesyes
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 metadatano
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLANSI SQL-92nonoSQL-99 for query and DML statementsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
in-process shared libraryGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC
C++
Java
GoActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C++
Java
Python
Scala
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnonoyesPL/SQL
Triggersyesnonoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnono infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoRole-based access controlfine grained access rights according to SQL-standard

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More resources
AltibaseBadgerEJDBGigaSpacesTimesTen
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