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DBMS > Atos Standard Common Repository vs. Databricks vs. Solr vs. SWC-DB vs. Valentina Server

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Solr vs. SWC-DB vs. Valentina Server

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonSolr  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonValentina Server  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 networksThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A widely used distributed, scalable search engine based on Apache LuceneA high performance, scalable Wide Column DBMSObject-relational database and reports server
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Search engineWide column storeRelational DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comsolr.apache.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.valentina-db.net
Technical documentationdocs.databricks.comsolr.apache.org/­resources.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAtos Convergence CreatorsDatabricksApache Software FoundationAlex KashirinParadigma Software
Initial release20162013200620201999
Current release17039.6.1, May 20240.5, April 20215.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinuxhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes 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.yesyesyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnowith Databricks SQLSolr Parallel SQL InterfaceSQL-like query languageyes
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Proprietary protocol
Thrift
ODBC
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functions and aggregatesJava pluginsnoyes
Triggersyesyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesnoyes
User concepts infoAccess controlLDAP bind authenticationyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksSolrSWC-DB infoSuper Wide Column DatabaseValentina Server
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Atos Standard Common RepositoryDatabricksSolrSWC-DB infoSuper Wide Column DatabaseValentina Server
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