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DBMS > AllegroGraph vs. Atos Standard Common Repository vs. Solr vs. SQream DB vs. StarRocks

System Properties Comparison AllegroGraph vs. Atos Standard Common Repository vs. Solr vs. SQream DB vs. StarRocks

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonSolr  Xexclude from comparisonSQream DB  Xexclude from comparisonStarRocks  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 networksA widely used distributed, scalable search engine based on Apache Lucenea GPU-based, columnar RDBMS for big data analytics workloadsAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Key-value store
Search engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websiteallegrograph.comatos.net/en/convergence-creators/portfolio/standard-common-repositorysolr.apache.orgsqream.comwww.starrocks.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlsolr.apache.org/­resources.htmldocs.sqream.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperFranz Inc.Atos Convergence CreatorsApache Software FoundationSQream TechnologiesThe Linux Foundation infosince Feb 2023
Initial release20042016200620172020
Current release8.0, December 202317039.6.1, May 20242022.1.6, December 20222.5.3, March 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
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 languageJavaJavaC++, CUDA, Haskell, Java, ScalaC++, Java
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
Data schemeyes infoRDF schemasSchema and schema-less with LDAP viewsyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesoptionalyes infosupports customizable data types and automatic typingyes, ANSI Standard SQL Typesyes
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 possibleyesyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSPARQL is used as query languagenoSolr Parallel SQL Interfaceyesyes
APIs and other access methodsRESTful HTTP API
SPARQL
LDAPJava API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages with LDAP bindings.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoJava pluginsuser defined functions in Pythonuser defined functions
Triggersyesyesyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infocell divisionShardinghorizontal and vertical partitioninghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsoptimistic lockingACIDno
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.noyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationLDAP bind authenticationyesRole based access control and fine grained access rights
More information provided by the system vendor
AllegroGraphAtos Standard Common RepositorySolrSQream DBStarRocks
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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