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DBMS > Atos Standard Common Repository vs. Ignite vs. Solr vs. SpaceTime

System Properties Comparison Atos Standard Common Repository vs. Ignite vs. Solr vs. SpaceTime

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIgnite  Xexclude from comparisonSolr  Xexclude from comparisonSpaceTime  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 networksApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A widely used distributed, scalable search engine based on Apache LuceneSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Search engineSpatial DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryignite.apache.orgsolr.apache.orgwww.mireo.com/­spacetime
Technical documentationapacheignite.readme.io/­docssolr.apache.org/­resources.html
DeveloperAtos Convergence CreatorsApache Software FoundationApache Software FoundationMireo
Initial release2016201520062020
Current release1703Apache Ignite 2.69.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2commercial
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 languageJavaC++, Java, .NetJavaC++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
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.yesyesyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSolr Parallel SQL InterfaceA subset of ANSI SQL is implemented
APIs and other access methodsLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
C++
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)Java pluginsno
Triggersyesyes (cache interceptors and events)yes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)spark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDoptimistic lockingno
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.yesyesyesno
User concepts infoAccess controlLDAP bind authenticationSecurity Hooks for custom implementationsyesyes

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More resources
Atos Standard Common RepositoryIgniteSolrSpaceTime
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