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DBMS > Apache Jena - TDB vs. Firebase Realtime Database vs. HBase vs. LMDB vs. Sqrrl

System Properties Comparison Apache Jena - TDB vs. Firebase Realtime Database vs. HBase vs. LMDB vs. Sqrrl

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHBase  Xexclude from comparisonLMDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Wide-column store based on Apache Hadoop and on concepts of BigTableA high performant, light-weight, embedded key-value database libraryAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRDF storeDocument storeWide column storeKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score14.29
Rank#39  Overall
#6  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Websitejena.apache.org/­documentation/­tdb/­index.htmlfirebase.google.com/­products/­realtime-databasehbase.apache.orgwww.symas.com/­symas-embedded-database-lmdbsqrrl.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlfirebase.google.com/­docs/­databasehbase.apache.org/­book.htmlwww.lmdb.tech/­doc
DeveloperApache Software Foundation infooriginally developed by HP LabsGoogle infoacquired by Google 2014Apache Software Foundation infoApache top-level project, originally developed by PowersetSymasAmazon infooriginally Sqrrl Data, Inc.
Initial release20002012200820112012
Current release4.9.0, July 20232.3.4, January 20210.9.32, January 2024
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialOpen Source infoApache version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCJava
Server operating systemsAll OS with a Java VMhostedLinux
Unix
Windows infousing Cygwin
Linux
Unix
Windows
Linux
Data schemeyes infoRDF Schemasschema-freeschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLnonononono
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesJavaJava
JavaScript
Objective-C
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'yes infoCoprocessors in Javanono
Triggersyes infovia event handlerCallbacks are triggered when data changesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
noneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsyesSingle row ACID (across millions of columns)ACIDAtomic updates per row, document, or graph entity
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.yesyes
User concepts infoAccess controlAccess control via Jena Securityyes, based on authentication and database rulesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Apache Jena - TDBFirebase Realtime DatabaseHBaseLMDBSqrrl
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