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DBMS > Microsoft Azure AI Search vs. Netezza vs. Sphinx vs. TypeDB

System Properties Comparison Microsoft Azure AI Search vs. Netezza vs. Sphinx vs. TypeDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSphinx  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentData warehouse and analytics appliance part of IBM PureSystemsOpen source search engine for searching in data from different sources, e.g. relational databasesTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelSearch engineRelational DBMSSearch engineGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.70
Rank#230  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchwww.ibm.com/­products/­netezzasphinxsearch.comtypedb.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docstypedb.com/­docs
DeveloperMicrosoftIBMSphinx Technologies Inc.Vaticle
Initial release2015200020012016
Current releaseV13.5.1, February 20232.28.3, June 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedLinux infoincluded in applianceFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)no
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
Proprietary protocolgRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedno
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationnoneSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship feature
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 persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes infousing Azure authenticationUsers with fine-grained authorization conceptnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Microsoft Azure AI SearchNetezza infoAlso called PureData System for Analytics by IBMSphinxTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Microsoft Azure AI SearchNetezza infoAlso called PureData System for Analytics by IBMSphinxTypeDB infoformerly named Grakn
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