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DBMS > Atos Standard Common Repository vs. Databricks vs. Ultipa

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Ultipa

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonUltipa  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 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.High performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.ultipa.com
Technical documentationdocs.databricks.comwww.ultipa.com/­document
DeveloperAtos Convergence CreatorsDatabricksUltipa
Initial release201620132019
Current release1703
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinuxhosted
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateoptional
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.yesyes
Secondary indexesyesyes
SQL infoSupport of SQLnowith Databricks SQL
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregates
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell division
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authentication
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksUltipa
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryDatabricksUltipa
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