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DBMS > GeoSpock vs. IRONdb vs. RDF4J vs. Rockset vs. TDengine

System Properties Comparison GeoSpock vs. IRONdb vs. RDF4J vs. Rockset vs. TDengine

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRockset  Xexclude from comparisonTDengine  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA 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.A scalable, reliable search and analytics service in the cloud, built on RocksDBTime Series DBMS and big data platform
Primary database modelRelational DBMSTime Series DBMSRDF storeDocument storeTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.79
Rank#211  Overall
#35  Document stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitegeospock.comwww.circonus.com/solutions/time-series-database/rdf4j.orgrockset.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationdocs.rockset.comdocs.tdengine.com
DeveloperGeoSpockCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.RocksetTDEngine, previously Taos Data
Initial release2017200420192019
Current release2.0, September 2019V0.10.20, January 20183.0, August 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC and C++JavaC++C
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
hostedLinux
Windows
Data schemeyesschema-freeyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexestemporal, categoricalnoyesall fields are automatically indexedno
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)noRead-only SQL queries, including JOINsStandard SQL with extensions for time-series applications
APIs and other access methodsJDBCHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP RESTJDBC
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
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyes, in Luayesnono
Triggersnonoyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingAutomatic, metric affinity per nodenoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API usedno
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.nono
User concepts infoAccess controlAccess rights for users can be defined per tablenonoAccess rights for users and organizations can be defined via Rockset consoleyes
More information provided by the system vendor
GeoSpockIRONdbRDF4J infoformerly known as SesameRocksetTDengine
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
GeoSpockIRONdbRDF4J infoformerly known as SesameRocksetTDengine
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