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DBMS > EXASOL vs. Microsoft Azure AI Search

System Properties Comparison EXASOL vs. Microsoft Azure AI Search

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Our visitors often compare EXASOL and Microsoft Azure AI Search with PostgreSQL, Snowflake and Oracle.

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Search-as-a-service for web and mobile app development
Primary database modelRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.58
Rank#139  Overall
#63  Relational DBMS
Score5.45
Rank#60  Overall
#7  Search engines
Websitewww.exasol.comazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.exasol.com/­resourceslearn.microsoft.com/­en-us/­azure/­search
DeveloperExasolMicrosoft
Initial release20002015
Current releaseV1
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
SQL infoSupport of SQLyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardyes infousing Azure authentication

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More resources
EXASOLMicrosoft Azure AI Search
Recent citations in the news

WashTec: Data Analytics for optimizing car wash systems.
27 May 2024, All-About-Industries

Exasol Accelerates Customers’ Migration to Cloud with Support of AWS SaaS Factory
4 February 2022, AWS Blog

Exasol: 93% say data storytelling helps increase revenue
13 July 2021, VentureBeat

When it comes to your tech stack, don’t compromise, Exasol CEO tells CFOs
27 July 2023, CFO Dive

Many employees still resist data-driven culture
31 March 2020, TechTarget

provided by Google News

The next wave of Azure innovation: Azure AI Foundry, intelligent data, and more
19 November 2024, Microsoft

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, Microsoft

Boost your AI with Azure's new Phi model, streamlined RAG, and custom generative AI models
22 August 2024, Microsoft

Announcing fine-tuning for customization and support for new models in Azure AI
27 September 2024, Microsoft

Unum Group builds custom AI application to search 1.3 terabytes of data with 95% accuracy using Microsoft Azure generative AI solutions
23 May 2024, Microsoft

provided by Google News



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