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DBMS > Apache Jena - TDB vs. etcd vs. Faircom EDGE vs. HugeGraph vs. JaguarDB

System Properties Comparison Apache Jena - TDB vs. etcd vs. Faircom EDGE vs. HugeGraph vs. JaguarDB

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonetcd  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHugeGraph  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkA distributed reliable key-value storeFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA fast-speed and highly-scalable Graph DBMSPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRDF storeKey-value storeKey-value store
Relational DBMS
Graph DBMSKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmletcd.io
github.com/­etcd-io/­etcd
www.faircom.com/­products/­faircom-edgegithub.com/­hugegraph
hugegraph.apache.org
www.jaguardb.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhugegraph.apache.org/­docswww.jaguardb.com/­support.html
DeveloperApache Software Foundation infooriginally developed by HP LabsFairCom CorporationBaiduDataJaguar, Inc.
Initial release2000197920182015
Current release4.9.0, July 20233.4, August 2019V3, October 20200.93.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoApache Version 2.0Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoANSI C, C++JavaC++ infothe server part. Clients available in other languages
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
Android
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Unix
Linux
Data schemeyes infoRDF Schemasschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Typesyesyes
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.noyesnono
Secondary indexesyesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonoyes infoANSI SQL queriesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
gRPC
JSON over HTTP
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Supported programming languagesJava.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Groovy
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyes info.Net, JavaScript, C/C++asynchronous Gremlin script jobsno
Triggersyes infovia event handleryes, watching key changesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoSynchronous and asynchronous realtime replication based on transaction logsyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
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.noyesyesno
User concepts infoAccess controlAccess control via Jena SecuritynoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users, roles and permissionsrights management via user accounts

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More resources
Apache Jena - TDBetcdFaircom EDGE infoformerly c-treeEDGEHugeGraphJaguarDB
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