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DBMS > Atos Standard Common Repository vs. CrateDB vs. jBASE vs. Solr

System Properties Comparison Atos Standard Common Repository vs. CrateDB vs. jBASE vs. Solr

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCrateDB  Xexclude from comparisonjBASE  Xexclude from comparisonSolr  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 networksDistributed Database based on LuceneA robust multi-value DBMS comprising development tools and middlewareA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Key-value store
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Multivalue DBMSSearch engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycratedb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasesolr.apache.org
Technical documentationcratedb.com/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9solr.apache.org/­resources.html
DeveloperAtos Convergence CreatorsCrateRocket Software (formerly Zumasys)Apache Software Foundation
Initial release2016201319912006
Current release17035.79.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoApache Version 2
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 Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAIX
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateoptionalyesoptionalyes infosupports customizable data types and automatic typing
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.yesnoyesyes
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilityEmbedded SQL for jBASE in BASICSolr Parallel SQL Interface
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindings.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
Basic
Jabbascript
Java
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions (Javascript)yesJava plugins
Triggersyesnoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable replication on table/partition-levelyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Read-after-write consistency on record level
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDoptimistic locking
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.yesnoyesyes
User concepts infoAccess controlLDAP bind authenticationrights management via user accountsAccess rights can be defined down to the item levelyes

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More resources
Atos Standard Common RepositoryCrateDBjBASESolr
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