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DBMS > AgensGraph vs. Atos Standard Common Repository vs. Realm vs. Solr

System Properties Comparison AgensGraph vs. Atos Standard Common Repository vs. Realm vs. Solr

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonRealm  Xexclude from comparisonSolr  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
Relational DBMS
Document store
Key-value store
Document storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitebitnine.net/­agensgraphatos.net/en/convergence-creators/portfolio/standard-common-repositoryrealm.iosolr.apache.org
Technical documentationbitnine.net/­documentationrealm.io/­docssolr.apache.org/­resources.html
DeveloperBitnine Global Inc.Atos Convergence CreatorsRealm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release2016201620142006
Current release2.1, December 201817039.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJava
Server operating systemsLinux
OS X
Windows
LinuxAndroid
Backend: server-less
iOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemedepending on used data modelSchema and schema-less with LDAP viewsyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesoptionalyesyes infosupports customizable data types and automatic typing
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.noyesnoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnonoSolr Parallel SQL Interface
APIs and other access methodsCypher Query Language
JDBC
LDAPJava API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
All languages with LDAP bindings.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnono inforuns within the applications so server-side scripts are unnecessaryJava plugins
Triggersnoyesyes infoChange Listenersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infocell divisionnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-Memory realmyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationyesyes

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More resources
AgensGraphAtos Standard Common RepositoryRealmSolr
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