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DBMS > 4D vs. AnzoGraph DB vs. Atos Standard Common Repository vs. Databricks vs. TerminusDB

System Properties Comparison 4D vs. AnzoGraph DB vs. Atos Standard Common Repository vs. Databricks vs. TerminusDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHighly 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.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Key-value store
Document store
Relational DBMS
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.4d.comcambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comterminusdb.com
Technical documentationdeveloper.4d.comdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.databricks.comterminusdb.github.io/­terminusdb/­#
Developer4D, IncCambridge SemanticsAtos Convergence CreatorsDatabricksDataChemist Ltd.
Initial release19842018201620132018
Current releasev20, April 20232.3, January 2021170311.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaProlog, Rust
Server operating systemsOS X
Windows
LinuxLinuxhostedLinux
Data schemeyesSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesoptionalyes
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.yesnoyesyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SPARQL and SPARQL* as primary query language. Cypher preview.nowith Databricks SQLSQL-like query language (WOQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPJDBC
ODBC
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages4D proprietary IDE
PHP
C++
Java
Python
All languages with LDAP bindingsPython
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnouser defined functions and aggregatesyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding infocell divisionGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication in MPP-ClusteryesyesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlUsers and groupsAccess rights for users and rolesLDAP bind authenticationRole-based access control
More information provided by the system vendor
4D infoformer name: 4th DimensionAnzoGraph DBAtos Standard Common RepositoryDatabricksTerminusDB infoformer name was DataChemist
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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4D infoformer name: 4th DimensionAnzoGraph DBAtos Standard Common RepositoryDatabricksTerminusDB infoformer name was DataChemist
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