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DBMS > chDB vs. EventStoreDB vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison chDB vs. EventStoreDB vs. Microsoft Azure AI Search vs. Sphinx

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Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseIndustrial-strength, open-source database solution built from the ground up for event sourcing.Search-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSEvent StoreSearch engineSearch engine
Secondary database modelsTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score5.52
Rank#59  Overall
#6  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­chdb-io/­chdbwww.eventstore.comazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationdoc.chdb.iodevelopers.eventstore.comlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperEvent Store LimitedMicrosoftSphinx Technologies Inc.
Initial release2023201220152001
Current release21.2, February 2021V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourcecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsserver-lessLinux
Windows
hostedFreeBSD
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 indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)noSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIProprietary protocol
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding 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 nodesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
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 persistentyesyes 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.no
User concepts infoAccess controlyes infousing Azure authenticationno

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More resources
chDBEventStoreDBMicrosoft Azure AI SearchSphinx
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