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DBMS > Atos Standard Common Repository vs. atoti vs. Brytlyt vs. Solr vs. Splunk

System Properties Comparison Atos Standard Common Repository vs. atoti vs. Brytlyt vs. Solr vs. Splunk

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonatoti  Xexclude from comparisonBrytlyt  Xexclude from comparisonSolr  Xexclude from comparisonSplunk  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 networksAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA widely used distributed, scalable search engine based on Apache LuceneAnalytics Platform for Big Data
Primary database modelDocument store
Key-value store
Object oriented DBMSRelational DBMSSearch engineSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score86.45
Rank#14  Overall
#2  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryatoti.iobrytlyt.iosolr.apache.orgwww.splunk.com
Technical documentationdocs.atoti.iodocs.brytlyt.iosolr.apache.org/­resources.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperAtos Convergence CreatorsActiveViamBrytlytApache Software FoundationSplunk Inc.
Initial release2016201620062003
Current release17035.0, August 20239.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercialOpen Source infoApache Version 2commercial infoLimited free edition and free developer edition available
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, C++ and CUDAJava
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateoptionalyesyes infosupports customizable data types and automatic typingyes
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.yesyes infospecific XML-type available, but no XML query functionality.yesyes
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)yesSolr Parallel SQL Interfaceno infoSplunk Search Processing Language for search commands
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.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
Server-side scripts infoStored proceduresnoPythonuser defined functions infoin PL/pgSQLJava pluginsyes
Triggersyesyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDoptimistic lockingno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardyesAccess rights for users and roles

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More resources
Atos Standard Common RepositoryatotiBrytlytSolrSplunk
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