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DBMS > Apache Jena - TDB vs. Databricks vs. GeoMesa vs. Google Cloud Bigtable vs. TerminusDB

System Properties Comparison Apache Jena - TDB vs. Databricks vs. GeoMesa vs. Google Cloud Bigtable vs. TerminusDB

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonDatabricks  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRDF storeDocument store
Relational DBMS
Spatial DBMSKey-value store
Wide column store
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.databricks.comwww.geomesa.orgcloud.google.com/­bigtableterminusdb.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docsterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation infooriginally developed by HP LabsDatabricksCCRi and othersGoogleDataChemist Ltd.
Initial release20002013201420152018
Current release4.9.0, July 20234.0.5, February 202411.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialOpen Source infoApache License 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaProlog, Rust
Server operating systemsAll OS with a Java VMhostedhostedLinux
Data schemeyes infoRDF SchemasFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnowith Databricks SQLnonoSQL-like query language (WOQL)
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJavaPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnonoyes
Triggersyes infovia event handlernonoyes
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDnoAtomic single-row operationsACID
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.nodepending on storage layerno
User concepts infoAccess controlAccess control via Jena Securityyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control
More information provided by the system vendor
Apache Jena - TDBDatabricksGeoMesaGoogle Cloud BigtableTerminusDB infoformer name was DataChemist
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache Jena - TDBDatabricksGeoMesaGoogle Cloud BigtableTerminusDB infoformer name was DataChemist
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