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DBMS > Atos Standard Common Repository vs. Databricks vs. Manticore Search vs. Oracle Rdb vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Manticore Search vs. Oracle Rdb vs. Yaacomo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonManticore Search  Xexclude from comparisonOracle Rdb  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is 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.Multi-storage database for search, including full-text search.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Search engineRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.commanticoresearch.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlyaacomo.com
Technical documentationdocs.databricks.commanual.manticoresearch.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperAtos Convergence CreatorsDatabricksManticore SoftwareOracle, originally developed by Digital Equipment Corporation (DEC)Q2WEB GmbH
Initial release20162013201719842009
Current release17036.0, February 20237.4.1.1, 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2commercialcommercial
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 languageJavaC++
Server operating systemsLinuxhostedFreeBSD
Linux
macOS
Windows
HP Open VMSAndroid
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)Fixed schemaFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateoptionalInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.yesyesCan index from XMLnono
Secondary indexesyesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnowith Databricks SQLSQL-like query languageyesyes
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
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 aggregatesuser defined functions
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSynchronous replication based on Galera librarySource-replica replication
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyes infoisolated transactions for atomic changes and binary logging for safe writesyes, on a single nodeACID
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.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksManticore SearchOracle RdbYaacomo
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryDatabricksManticore SearchOracle RdbYaacomo
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