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DBMS > Atos Standard Common Repository vs. GeoSpock vs. Manticore Search vs. Spark SQL vs. STSdb

System Properties Comparison Atos Standard Common Repository vs. GeoSpock vs. Manticore Search vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonManticore Search  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleMulti-storage database for search, including full-text search.Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineRelational DBMSKey-value store
Secondary database modelsTime Series DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#312  Overall
#21  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.commanticoresearch.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationmanual.manticoresearch.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAtos Convergence CreatorsGeoSpockManticore SoftwareApache Software FoundationSTS Soft SC
Initial release2016201720142011
Current release17032.0, September 20196.0, February 20233.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
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 languageJavaJava, JavascriptC++ScalaC#
Server operating systemsLinuxhostedFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Windows
Data schemeSchema and schema-less with LDAP viewsyesFixed schemayesyes
Typing infopredefined data types such as float or dateoptionalyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes infoprimitive types and user defined types (classes)
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.yesnoCan index from XMLno
Secondary indexesyestemporal, categoricalyes infofull-text index on all search fieldsnono
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsLDAPJDBCBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
.NET Client API
Supported programming languagesAll languages with LDAP bindingsElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera librarynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoyes infoisolated transactions for atomic changes and binary logging for safe writesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per tablenonono

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More resources
Atos Standard Common RepositoryGeoSpockManticore SearchSpark SQLSTSdb
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