DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > chDB vs. Databricks vs. Microsoft Azure AI Search

System Properties Comparison chDB vs. Databricks vs. Microsoft Azure AI Search

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Search-as-a-service for web and mobile app development
Primary database modelRelational DBMSDocument store
Relational DBMS
Search engine
Secondary database modelsTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#358  Overall
#152  Relational DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Websitegithub.com/­chdb-io/­chdbwww.databricks.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdoc.chdb.iodocs.databricks.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperDatabricksMicrosoft
Initial release202320132015
Current releaseV1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemsserver-lesshostedhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)with Databricks SQLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
Python
R
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
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.nono
User concepts infoAccess controlyes infousing Azure authentication
More information provided by the system vendor
chDBDatabricksMicrosoft Azure AI Search
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
chDBDatabricksMicrosoft Azure AI Search
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Reltio and Databricks Partner to Deliver Trusted Data to Fuel AI Initiatives Across the Enterprise
12 September 2024, Business Wire

Anthropic, Scale & Databricks CEOs Will Speak at the Cerebral Valley AI Summit on Nov. 20 in San Francisco
12 September 2024, Newcomer

Databricks sues patent holders over alleged 'extortion' scheme
9 September 2024, Reuters.com

Databricks reportedly paid $2 billion in Tabular acquisition
14 August 2024, TechCrunch

Introducing Databricks AI/BI: Intelligent Analytics for Real-World Data
12 June 2024, PR Newswire

provided by Google News

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, azure.microsoft.com

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

From code to production: New ways Azure helps you build transformational AI experiences
21 May 2024, azure.microsoft.com

Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard)
2 April 2024, azure.microsoft.com

Microsoft Azure AI Search just got a massive storage increase - here’s what you need to know
8 April 2024, ITPro

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here