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DBMS > Apache Jena - TDB vs. Databricks vs. Datomic

System Properties Comparison Apache Jena - TDB vs. Databricks vs. Datomic

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonDatabricks  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkThe 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 modelRDF storeDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.62
Rank#83  Overall
#3  RDF stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.databricks.comwww.datomic.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.databricks.comdocs.datomic.com
DeveloperApache Software Foundation infooriginally developed by HP LabsDatabricksCognitect
Initial release200020132012
Current release4.9.0, July 20231.0.6735, June 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialcommercial 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 languageJavaJava, Clojure
Server operating systemsAll OS with a Java VMhostedAll OS with a Java VM
Data schemeyes infoRDF SchemasFlexible 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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnowith Databricks SQLno
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJavaPython
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes infoTransaction Functions
Triggersyes infovia event handlerBy 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 nodesnoneyesnone 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 Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDACID
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.noyes inforecommended only for testing and development
User concepts infoAccess controlAccess control via Jena Securityno
More information provided by the system vendor
Apache Jena - TDBDatabricksDatomic
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache Jena - TDBDatabricksDatomic
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