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DBMS > Apache Jena - TDB vs. GeoMesa vs. Google Cloud Datastore vs. RethinkDB

System Properties Comparison Apache Jena - TDB vs. GeoMesa vs. Google Cloud Datastore vs. RethinkDB

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRDF storeSpatial DBMSDocument storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score2.74
Rank#105  Overall
#19  Document stores
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.geomesa.orgcloud.google.com/­datastorerethinkdb.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­datastore/­docsrethinkdb.com/­docs
DeveloperApache Software Foundation infooriginally developed by HP LabsCCRi and othersGoogleThe Linux Foundation infosince July 2017
Initial release2000201420082009
Current release4.9.0, July 20234.0.5, February 20242.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache License 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows
Data schemeyes infoRDF Schemasyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, details hereyes infostring, binary, float, bool, date, geometry
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)no
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyesnousing Google App Engine
Triggersyes infovia event handlernoCallbacks using the Google Apps EngineClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerMulti-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsnoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernono
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)yes infousers and table-level permissions

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More resources
Apache Jena - TDBGeoMesaGoogle Cloud DatastoreRethinkDB
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