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DBMS > 4D vs. Atos Standard Common Repository vs. Databricks vs. Datomic vs. Dgraph

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Databricks vs. Datomic vs. Dgraph

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonDgraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemHighly 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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed and scalable native Graph DBMS
Primary database modelRelational DBMSDocument store
Key-value store
Document store
Relational DBMS
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.datomic.comdgraph.io
Technical documentationdeveloper.4d.comdocs.databricks.comdocs.datomic.comdgraph.io/­docs
Developer4D, IncAtos Convergence CreatorsDatabricksCognitectDgraph Labs, Inc.
Initial release19842016201320122016
Current releasev20, April 202317031.0.7075, December 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureGo
Server operating systemsOS X
Windows
LinuxhostedAll OS with a Java VMLinux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.yesyesyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nowith Databricks SQLnono
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsPython
R
Scala
Clojure
Java
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesyes infoTransaction Functionsno
TriggersyesyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnone infoBut extensive use of caching in the application peersyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesnone infoBut extensive use of caching in the application peersSynchronous replication via Raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes inforecommended only for testing and development
User concepts infoAccess controlUsers and groupsLDAP bind authenticationnono infoPlanned for future releases
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryDatabricksDatomicDgraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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4D infoformer name: 4th DimensionAtos Standard Common RepositoryDatabricksDatomicDgraph
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