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DBMS > atoti vs. Microsoft Azure AI Search vs. Sphinx vs. WakandaDB

System Properties Comparison atoti vs. Microsoft Azure AI Search vs. Sphinx vs. WakandaDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Search-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databasesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelObject oriented DBMSSearch engineSearch engineObject oriented DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteatoti.ioazure.microsoft.com/­en-us/­services/­searchsphinxsearch.comwakanda.github.io
Technical documentationdocs.atoti.iolearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docswakanda.github.io/­doc
DeveloperActiveViamMicrosoftSphinx Technologies Inc.Wakanda SAS
Initial release201520012012
Current releaseV13.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++, JavaScript
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like query language (SphinxQL)no
APIs and other access methodsRESTful HTTP APIProprietary protocolRESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresPythonnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes 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.yesnono
User concepts infoAccess controlyes infousing Azure authenticationnoyes

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More resources
atotiMicrosoft Azure AI SearchSphinxWakandaDB
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