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DBMS > AllegroGraph vs. Apache Impala vs. Atos Standard Common Repository vs. Firebase Realtime Database vs. Microsoft Azure AI Search

System Properties Comparison AllegroGraph vs. Apache Impala vs. Atos Standard Common Repository vs. Firebase Realtime Database vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure AI Search  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 DBMSAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Search-as-a-service for web and mobile app development
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSDocument store
Key-value store
Document storeSearch engine
Secondary database modelsSpatial DBMSDocument storeVector DBMS
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
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score5.59
Rank#63  Overall
#7  Search engines
Websiteallegrograph.comimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­en-us/­services/­search
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­databaselearn.microsoft.com/­en-us/­azure/­search
DeveloperFranz Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsGoogle infoacquired by Google 2014Microsoft
Initial release20042013201620122015
Current release8.0, December 20234.1.0, June 20221703V1
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsLinux
OS X
Windows
LinuxLinuxhostedhosted
Data schemeyes infoRDF schemasyesSchema and schema-less with LDAP viewsschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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 possiblenoyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsnonono
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
LDAPAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBCAll languages with LDAP bindingsJava
JavaScript
Objective-C
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infouser defined functions and integration of map-reducenolimited functionality with using 'rules'no
TriggersyesnoyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infocell divisionSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsyesno
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.nonoyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationyes, based on authentication and database rulesyes infousing Azure authentication
More information provided by the system vendor
AllegroGraphApache ImpalaAtos Standard Common RepositoryFirebase Realtime DatabaseMicrosoft Azure AI Search
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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More resources
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