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

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

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonKdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  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 simplicityHigh performance Time Series DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A 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 DBMSTime Series DBMS
Vector DBMS
RDF storeKey-value storeObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
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/kx.comrdf4j.orggithub.com/­bytedance/­terarkdbwakanda.github.io
Technical documentationdocs.circonus.com/irondb/category/getting-startedcode.kx.comrdf4j.org/­documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwakanda.github.io/­doc
DeveloperCirconus LLC.Kx Systems, a division of First Derivatives plcSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.ByteDance, originally TerarkWakanda SAS
Initial release20172000 infokdb was released 2000, kdb+ in 2003200420162012
Current releaseV0.10.20, January 20183.6, May 20182.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoEclipse Distribution License (EDL), v1.0.commercial 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++qJavaC++C++, JavaScript
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes infoRDF Schemasschema-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.noyesnono
Secondary indexesnoyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (q)nonono
APIs and other access methodsHTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
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
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Java
PHP
Python
C++
Java
JavaScript
Server-side scripts infoStored proceduresyes, in Luauser defined functionsyesnoyes
Triggersnoyes infowith viewsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodehorizontal partitioningnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API usednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnorights management via user accountsnonoyes
More information provided by the system vendor
IRONdbKdbRDF4J infoformerly known as SesameTerarkDBWakandaDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing modelsupon request
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IRONdbKdbRDF4J infoformerly known as SesameTerarkDBWakandaDB
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