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DBMS > Graph Engine vs. IRONdb vs. OrigoDB vs. Sphinx

System Properties Comparison Graph Engine vs. IRONdb vs. OrigoDB vs. Sphinx

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonIRONdb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA 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 databases
Primary database modelGraph DBMS
Key-value store
Time Series DBMSDocument store
Object oriented DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.graphengine.iowww.circonus.com/solutions/time-series-database/origodb.comsphinxsearch.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.circonus.com/irondb/category/getting-startedorigodb.com/­docssphinxsearch.com/­docs
DeveloperMicrosoftCirconus LLC.Robert Friberg et alSphinx Technologies Inc.
Initial release201020172009 infounder the name LiveDB2001
Current releaseV0.10.20, January 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC and C++C#C++
Server operating systems.NETLinuxLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsUser defined using .NET types and collectionsno
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 infocan be achieved using .NET
Secondary indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIHTTP API.NET Client API
HTTP API
LINQ
Proprietary protocol
Supported programming languagesC#
C++
F#
Visual Basic
.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
Server-side scripts infoStored proceduresyesyes, in Luayesno
Triggersnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic, metric affinity per nodehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationnone
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 nodes
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoRole based authorizationno

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More resources
Graph Engine infoformer name: TrinityIRONdbOrigoDBSphinx
DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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