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DBMS > AllegroGraph vs. Atos Standard Common Repository vs. EsgynDB vs. GigaSpaces vs. LMDB

System Properties Comparison AllegroGraph vs. Atos Standard Common Repository vs. EsgynDB vs. GigaSpaces vs. LMDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonEsgynDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonLMDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA high performant, light-weight, embedded key-value database library
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Key-value store
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Secondary database modelsSpatial DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Websiteallegrograph.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.esgyn.cnwww.gigaspaces.comwww.symas.com/­symas-embedded-database-lmdb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.gigaspaces.com/­latest/­landing.htmlwww.lmdb.tech/­doc
DeveloperFranz Inc.Atos Convergence CreatorsEsgynGigaspaces TechnologiesSymas
Initial release20042016201520002011
Current release8.0, December 2023170315.5, September 20200.9.32, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source
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 languageJavaC++, JavaJava, C++, .NetC
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux
macOS
Solaris
Windows
Linux
Unix
Windows
Data schemeyes infoRDF schemasSchema and schema-less with LDAP viewsyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.no infobulk load of XML files possibleyesnono infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languagenoyesSQL-99 for query and DML statementsno
APIs and other access methodsRESTful HTTP API
SPARQL
LDAPADO.NET
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages with LDAP bindingsAll languages supporting JDBC/ODBC/ADO.Net.Net
C++
Java
Python
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
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoJava Stored Proceduresyesno
Triggersyesyesnoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infocell divisionShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication between multi datacentersMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDACID
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.noyesnoyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationLDAP bind authenticationfine grained access rights according to SQL-standardRole-based access controlno
More information provided by the system vendor
AllegroGraphAtos Standard Common RepositoryEsgynDBGigaSpacesLMDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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23 January 2024

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