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DBMS > IRONdb vs. RDF4J vs. TDengine vs. TerarkDB vs. WakandaDB

System Properties Comparison IRONdb vs. RDF4J vs. TDengine vs. TerarkDB vs. WakandaDB

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTDengine  Xexclude from comparisonTerarkDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Time Series DBMS and big data platformA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSRDF storeTime Series DBMSKey-value storeObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#222  Overall
#9  RDF stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.circonus.com/solutions/time-series-database/rdf4j.orggithub.com/­taosdata/­TDengine
tdengine.com
github.com/­bytedance/­terarkdbwakanda.github.io
Technical documentationdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationdocs.tdengine.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwakanda.github.io/­doc
DeveloperCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.TDEngine, previously Taos DataByteDance, originally TerarkWakanda SAS
Initial release20172004201920162012
Current releaseV0.10.20, January 20183.0, August 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL V3, also commercial editions availablecommercial inforestricted open source version availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaCC++C++, JavaScript
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyes infoRDF Schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesnoyes
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 indexesnoyesnono
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noStandard SQL with extensions for time-series applicationsnono
APIs and other access methodsHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
RESTful HTTP API
C++ API
Java API
RESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
JavaScript
Server-side scripts infoStored proceduresyes, in Luayesnonoyes
Triggersnoyesyes, via alarm monitoringnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnonoyesnoyes
More information provided by the system vendor
IRONdbRDF4J infoformerly known as SesameTDengineTerarkDBWakandaDB
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
IRONdbRDF4J infoformerly known as SesameTDengineTerarkDBWakandaDB
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