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DBMS > Atos Standard Common Repository vs. Databricks vs. Dgraph vs. Microsoft Azure Table Storage vs. Oracle NoSQL

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Dgraph vs. Microsoft Azure Table Storage vs. Oracle NoSQL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle NoSQL  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 DBMSA Wide Column Store for rapid development using massive semi-structured datasetsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Graph DBMSWide column storeDocument store
Key-value store
Relational 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
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comdgraph.ioazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationdocs.databricks.comdgraph.io/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperAtos Convergence CreatorsDatabricksDgraph Labs, Inc.MicrosoftOracle
Initial release20162013201620122011
Current release170323.3, December 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava
Server operating systemsLinuxhostedLinux
OS X
Windows
hostedLinux
Solaris SPARC/x86
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateoptionalyesyesoptional
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.yesyesnonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnowith Databricks SQLnonoSQL-like DML and DDL statements
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP APIRESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSynchronous replication via Raftyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDoptimistic lockingconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infooff heap cache
User concepts infoAccess controlLDAP bind authenticationno infoPlanned for future releasesAccess rights based on private key authentication or shared access signaturesAccess rights for users and roles
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksDgraphMicrosoft Azure Table StorageOracle NoSQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Atos Standard Common RepositoryDatabricksDgraphMicrosoft Azure Table StorageOracle NoSQL
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