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DBMS > AgensGraph vs. Microsoft Azure Table Storage vs. Sphinx

System Properties Comparison AgensGraph vs. Microsoft Azure Table Storage vs. Sphinx

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA Wide Column Store for rapid development using massive semi-structured datasetsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
Relational DBMS
Wide column storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score4.92
Rank#73  Overall
#6  Wide column stores
Score6.03
Rank#60  Overall
#6  Search engines
Websitebitnine.net/­agensgraphazure.microsoft.com/­en-us/­services/­storage/­tablessphinxsearch.com
Technical documentationbitnine.net/­documentationsphinxsearch.com/­docs
DeveloperBitnine Global Inc.MicrosoftSphinx Technologies Inc.
Initial release201620122001
Current release2.1, December 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyesyesno
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
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoSQL-like query language (SphinxQL)
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIProprietary protocol
Supported programming languagesC
Java
JavaScript
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesno

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More resources
AgensGraphMicrosoft Azure Table StorageSphinx
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