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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonDgraph  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.Distributed and scalable native Graph DBMS
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
Score60.82
Rank#19  Overall
#3  Document stores
#13  Relational DBMS
Score1.80
Rank#148  Overall
#10  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorydatabricks.comdgraph.io
Technical documentationdatabricks.com/­documentationdgraph.io/­docs
DeveloperAtos Convergence CreatorsDatabricksDgraph Labs, Inc.
Initial release201620132016
Current release1703
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinuxhostedLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateoptionalyes
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.yesyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnowith Databricks SQLno
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSynchronous replication via Raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 authenticationno infoPlanned for future releases

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More resources
Atos Standard Common RepositoryDatabricksDgraph
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