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DBMS > Atos Standard Common Repository vs. EJDB vs. GridGain vs. LMDB vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. EJDB vs. GridGain vs. LMDB vs. TimesTen

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEJDB  Xexclude from comparisonGridGain  Xexclude from comparisonLMDB  Xexclude from comparisonTimesTen  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksEmbeddable document-store database library with JSON representation of queries (in MongoDB style)GridGain is an in-memory computing platform, built on Apache IgniteA high performant, light-weight, embedded key-value database libraryIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Key-value store
Document storeKey-value store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­Softmotions/­ejdbwww.gridgain.comwww.symas.com/­symas-embedded-database-lmdbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.gridgain.com/­docs/­index.htmlwww.lmdb.tech/­docdocs.oracle.com/­database/­timesten-18.1
DeveloperAtos Convergence CreatorsSoftmotionsGridGain Systems, Inc.SymasOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20162012200720111998
Current release1703GridGain 8.5.10.9.32, January 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialOpen Sourcecommercial
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 languageJavaCJava, C++, .NetC
Server operating systemsLinuxserver-lessLinux
OS X
Solaris
Windows
Linux
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes 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.yesyesnono
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsLDAPin-process shared libraryHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesAll languages with LDAP bindingsActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)noPL/SQL
Triggersyesnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes (replicated cache)noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationnoSecurity Hooks for custom implementationsnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryEJDBGridGainLMDBTimesTen
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