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DBMS > Graph Engine vs. Sphinx

System Properties Comparison Graph Engine vs. Sphinx

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
Key-value store
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#201  Overall
#17  Graph DBMS
#32  Key-value stores
Score6.43
Rank#60  Overall
#7  Search engines
Websitewww.graphengine.iosphinxsearch.com
Technical documentationwww.graphengine.io/­docs/­manualsphinxsearch.com/­docs
DeveloperMicrosoftSphinx Technologies Inc.
Initial release20102001
Current release3.3.1, July 2020
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++
Server operating systems.NETFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
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.no
Secondary indexesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIProprietary protocol
Supported programming languagesC#
C++
F#
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
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 storageyes 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.yes
User concepts infoAccess controlno

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

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

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Recent citations in the news

Microsoft open-sources Graph Engine
9 February 2017, SDTimes.com

Intel and Katana Graph Team on Large-scale Graph Analytics
19 October 2020, HPCwire

Yahoo & Microsoft open source data analytics tools for Spark & Graph Engine
14 February 2017, Computer Business Review

How Google and Microsoft taught search to “understand” the Web
6 June 2012, Ars Technica

DataStax releases enterprise platform making graph fully native
7 April 2020, ZDNet

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30 March 2020, TechRepublic

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