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DBMS > AgensGraph vs. Atos Standard Common Repository vs. Datomic vs. Microsoft Access vs. Solr

System Properties Comparison AgensGraph vs. Atos Standard Common Repository vs. Datomic vs. Microsoft Access vs. Solr

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Access  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 networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
Relational DBMS
Document store
Key-value store
Relational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Websitebitnine.net/­agensgraphatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comwww.microsoft.com/­en-us/­microsoft-365/­accesssolr.apache.org
Technical documentationbitnine.net/­documentationdocs.datomic.comdeveloper.microsoft.com/­en-us/­accesssolr.apache.org/­resources.html
DeveloperBitnine Global Inc.Atos Convergence CreatorsCognitectMicrosoftApache Software Foundation
Initial release20162016201219922006
Current release2.1, December 201817031.0.6735, June 20231902 (16.0.11328.20222), March 20199.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infolimited edition freecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2
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 languageCJavaJava, ClojureC++Java
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsAll 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 viewsyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesoptionalyesyesyes 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 indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnonoyes infobut not compliant to any SQL standardSolr Parallel SQL Interface
APIs and other access methodsCypher Query Language
JDBC
LDAPRESTful HTTP APIADO.NET
DAO
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
All languages with LDAP bindingsClojure
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyes infoTransaction Functionsyes infosince Access 2010 using the ACE-engineJava plugins
TriggersnoyesBy using transaction functionsyes infosince Access 2010 using the ACE-engineyes 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 divisionnone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone infoBut extensive use of caching in the application peersnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-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 integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationnono infoa simple user-level security was built in till version Access 2003yes

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More resources
AgensGraphAtos Standard Common RepositoryDatomicMicrosoft AccessSolr
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