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DBMS > EsgynDB vs. FatDB vs. Microsoft Azure AI Search vs. ReductStore

System Properties Comparison EsgynDB vs. FatDB vs. Microsoft Azure AI Search vs. ReductStore

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonReductStore  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Search-as-a-service for web and mobile app developmentDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSDocument store
Key-value store
Search engineTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitewww.esgyn.cnazure.microsoft.com/­en-us/­services/­searchgithub.com/­reductstore
www.reduct.store
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.reduct.store/­docs
DeveloperEsgynFatCloudMicrosoftReductStore LLC
Initial release2015201220152023
Current releaseV11.9, March 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBusiness Source License 1.1
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++, JavaC#C++, Rust
Server operating systemsLinuxWindowshostedDocker
Linux
macOS
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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
SQL infoSupport of SQLyesno infoVia inetgration in SQL Serverno
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIHTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#C#
Java
JavaScript
Python
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresJava Stored Proceduresyes infovia applicationsno
Triggersnoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factoryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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-standardno infoCan implement custom security layer via applicationsyes infousing Azure authentication

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More resources
EsgynDBFatDBMicrosoft Azure AI SearchReductStore
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