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DBMS > Apache Jena - TDB vs. Brytlyt vs. Dragonfly vs. etcd vs. Google Cloud Firestore

System Properties Comparison Apache Jena - TDB vs. Brytlyt vs. Dragonfly vs. etcd vs. Google Cloud Firestore

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonDragonfly  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA distributed reliable key-value storeCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.
Primary database modelRDF storeRelational DBMSKey-value storeKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.62
Rank#83  Overall
#3  RDF stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Websitejena.apache.org/­documentation/­tdb/­index.htmlbrytlyt.iogithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
etcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestore
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.brytlyt.iowww.dragonflydb.io/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestore
DeveloperApache Software Foundation infooriginally developed by HP LabsBrytlytDragonflyDB team and community contributorsGoogle
Initial release2000201620232017
Current release4.9.0, July 20235.0, August 20231.0, March 20233.4, August 2019
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialOpen Source infoBSL 1.1Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAC++Go
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
LinuxFreeBSD
Linux
Windows infoexperimental
hosted
Data schemeyes infoRDF Schemasyesscheme-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysnoyes
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol infoRESP - REdis Serialization ProtocolgRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesJava.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLLuanoyes, Firebase Rules & Cloud Functions
Triggersyes infovia event handleryespublish/subscribe channels provide some trigger functionalityyes, watching key changesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDAtomic execution of command blocks and scriptsnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes
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.yesno
User concepts infoAccess controlAccess control via Jena Securityfine grained access rights according to SQL-standardPassword-based authenticationnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Apache Jena - TDBBrytlytDragonflyetcdGoogle Cloud Firestore
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