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DBMS > Atos Standard Common Repository vs. Databricks vs. GeoSpock vs. Manticore Search

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. GeoSpock vs. Manticore Search

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonGeoSpock  Xexclude from comparisonManticore Search  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 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.Spatial and temporal data processing engine for extreme data scaleMulti-storage database for search, including full-text search.
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Relational DBMSSearch engine
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
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comgeospock.commanticoresearch.com
Technical documentationdocs.databricks.commanual.manticoresearch.com
DeveloperAtos Convergence CreatorsDatabricksGeoSpockManticore Software
Initial release201620132017
Current release17032.0, September 20196.0, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptC++
Server operating systemsLinuxhostedhostedFreeBSD
Linux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesFixed schema
Typing infopredefined data types such as float or dateoptionalyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.yesyesnoCan index from XML
Secondary indexesyesyestemporal, categoricalyes infofull-text index on all search fields
SQL infoSupport of SQLnowith Databricks SQLANSI SQL for query only (using Presto)SQL-like query language
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
JDBCBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnouser defined functions
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
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 tableno
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksGeoSpockManticore Search
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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