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DBMS > Atos Standard Common Repository vs. Solr vs. Splunk vs. Stardog

System Properties Comparison Atos Standard Common Repository vs. Solr vs. Splunk vs. Stardog

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonSolr  Xexclude from comparisonSplunk  Xexclude from comparisonStardog  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA widely used distributed, scalable search engine based on Apache LuceneAnalytics Platform for Big DataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Key-value store
Search engineSearch engineGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score41.02
Rank#24  Overall
#3  Search engines
Score89.10
Rank#14  Overall
#2  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorysolr.apache.orgwww.splunk.comwww.stardog.com
Technical documentationsolr.apache.org/­resources.htmldocs.splunk.com/­Documentation/­Splunkdocs.stardog.com
DeveloperAtos Convergence CreatorsApache Software FoundationSplunk Inc.Stardog-Union
Initial release2016200620032010
Current release17039.6.1, May 20247.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infoLimited free edition and free developer edition availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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 languageJavaJavaJava
Server operating systemsLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateoptionalyes infosupports customizable data types and automatic typingyesyes
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.yesyesyesno infoImport/export of XML data possible
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSolr Parallel SQL Interfaceno infoSplunk Search Processing Language for search commandsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsLDAPJava API
RESTful HTTP/JSON API
HTTP RESTGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesAll 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
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoJava pluginsyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyes infoUser configurable commands triggered on index changesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsoptimistic lockingno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationyesAccess rights for users and rolesAccess rights for users and roles

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More resources
Atos Standard Common RepositorySolrSplunkStardog
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