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DBMS > IRONdb vs. OrigoDB vs. Sphinx vs. TerminusDB

System Properties Comparison IRONdb vs. OrigoDB vs. Sphinx vs. TerminusDB

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 simplicityA fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databasesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelTime Series DBMSDocument store
Object oriented DBMS
Search engineGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.circonus.com/solutions/time-series-database/origodb.comsphinxsearch.comterminusdb.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedorigodb.com/­docssphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperCirconus LLC.Robert Friberg et alSphinx Technologies Inc.DataChemist Ltd.
Initial release20172009 infounder the name LiveDB20012018
Current releaseV0.10.20, January 20183.5.1, February 202311.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C#C++Prolog, Rust
Server operating systemsLinuxLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsUser defined using .NET types and collectionsnoyes
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 infocan be achieved using .NETno
Secondary indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language (SphinxQL)SQL-like query language (WOQL)
APIs and other access methodsHTTP API.NET Client API
HTTP API
LINQ
Proprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Python
Server-side scripts infoStored proceduresyes, in Luayesnoyes
Triggersnoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationnoneJournaling Streams
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 nodes
Foreign keys infoReferential integritynodepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoRole based authorizationnoRole-based access control

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More resources
IRONdbOrigoDBSphinxTerminusDB infoformer name was DataChemist
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