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DBMS > Apache Jena - TDB vs. CockroachDB vs. Google Cloud Datastore vs. SiriDB vs. Yaacomo

System Properties Comparison Apache Jena - TDB vs. CockroachDB vs. Google Cloud Datastore vs. SiriDB vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSiriDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformOpen Source Time Series DBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRDF storeRelational DBMSDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.62
Rank#83  Overall
#3  RDF stores
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.cockroachlabs.comcloud.google.com/­datastoresiridb.comyaacomo.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlwww.cockroachlabs.com/­docscloud.google.com/­datastore/­docsdocs.siridb.com
DeveloperApache Software Foundation infooriginally developed by HP LabsCockroach LabsGoogleCesbitQ2WEB GmbH
Initial release20002015200820172009
Current release4.9.0, July 202324.1.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
hostedLinuxAndroid
Linux
Windows
Data schemeyes infoRDF Schemasdynamic schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyes infoNumeric datayes
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.nononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLSQL-like query language (GQL)noyes
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP APIJDBC
ODBC
Supported programming languagesJavaC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesnousing Google App Engineno
Triggersyes infovia event handlernoCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using RAFTMulti-source replication using PaxosyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integrityyesyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess control via Jena SecurityRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple rights management via user accountsfine grained access rights according to SQL-standard

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More resources
Apache Jena - TDBCockroachDBGoogle Cloud DatastoreSiriDBYaacomo
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