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DBMS > 4D vs. Databricks vs. Datomic

System Properties Comparison 4D vs. Databricks vs. Datomic

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDatabricks  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemThe 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 durability
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational 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
Websitewww.4d.comwww.databricks.comwww.datomic.com
Technical documentationdeveloper.4d.comdocs.databricks.comdocs.datomic.com
Developer4D, IncDatabricksCognitect
Initial release198420132012
Current releasev20, April 20231.0.7075, December 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure
Server operating systemsOS X
Windows
hostedAll OS with a Java VM
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes
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 SQLyes infoclose to SQL 92with Databricks SQLno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes infoTransaction Functions
TriggersyesBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and development
User concepts infoAccess controlUsers and groupsno
More information provided by the system vendor
4D infoformer name: 4th DimensionDatabricksDatomic
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
4D infoformer name: 4th DimensionDatabricksDatomic
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