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DBMS > IRONdb vs. Sphinx vs. Stardog vs. TDengine

System Properties Comparison IRONdb vs. Sphinx vs. Stardog vs. TDengine

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonSphinx  Xexclude from comparisonStardog  Xexclude from comparisonTDengine  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 simplicityOpen source search engine for searching in data from different sources, e.g. relational databasesEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationTime Series DBMS and big data platform
Primary database modelTime Series DBMSSearch engineGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.98
Rank#56  Overall
#5  Search engines
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.circonus.com/solutions/time-series-database/sphinxsearch.comwww.stardog.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedsphinxsearch.com/­docsdocs.stardog.comdocs.tdengine.com
DeveloperCirconus LLC.Sphinx Technologies Inc.Stardog-UnionTDEngine, previously Taos Data
Initial release2017200120102019
Current releaseV0.10.20, January 20183.5.1, February 20237.3.0, May 20203.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++JavaC
Server operating systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Windows
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsnoyesyes
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.nono infoImport/export of XML data possibleno
Secondary indexesnoyes infofull-text index on all search fieldsyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (SphinxQL)Yes, compatible with all major SQL variants through dedicated BI/SQL ServerStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP APIProprietary protocolGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes, in Luanouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnonoyes infovia event handlersyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneMulti-source replication in HA-Clusteryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnonoAccess rights for users and rolesyes
More information provided by the system vendor
IRONdbSphinxStardogTDengine
Specific characteristicsTDengine™ 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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IRONdbSphinxStardogTDengine
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