DBMS > Apache Doris vs. Atos Standard Common Repository vs. Microsoft Azure AI Search vs. Yaacomo

System Properties Comparison Apache Doris vs. Atos Standard Common Repository vs. Microsoft Azure AI Search vs. Yaacomo

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Editorial information provided by DB-Engines
Name	Apache Doris  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	Yaacomo  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.		Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
Description	An MPP-based analytics DBMS embracing the MySQL protocol	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Search-as-a-service for web and mobile app development	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Relational DBMS	Document store Key-value store	Search engine	Relational DBMS
Secondary database models			Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.60 Rank #247   Overall #113   Relational DBMS		Score 5.52 Rank #59   Overall #6   Search engines
Website	doris.apache.org github.com/­apache/­doris	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­en-us/­services/­search	yaacomo.com
Technical documentation	github.com/­apache/­doris/­wiki		learn.microsoft.com/­en-us/­azure/­search
Developer	Apache Software Foundation, originally contributed from Baidu	Atos Convergence Creators	Microsoft	Q2WEB GmbH
Initial release	2017	2016	2015	2009
Current release	1.2.2, February 2023	1703	V1
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java
Server operating systems	Linux	Linux	hosted	Android Linux Windows
Data scheme	yes	Schema and schema-less with LDAP views	yes	yes
Typing predefined data types such as float or date	yes	optional	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	yes	no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes	no	no	yes
APIs and other access methods	JDBC MySQL client	LDAP	RESTful HTTP API	JDBC ODBC
Supported programming languages	Java	All languages with LDAP bindings	C# Java JavaScript Python
Server-side scripts Stored procedures	user defined functions	no	no
Triggers	no	yes	no	yes
Partitioning methods Methods for storing different data on different nodes	horizontal partitioning	Sharding cell division	Sharding Implicit feature of the cloud service	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	none	yes	yes Implicit feature of the cloud service	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no		no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data		Atomic execution of specific operations	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	no	yes
User concepts Access control	fine grained access rights according to SQL-standard	LDAP bind authentication	yes using Azure authentication	fine grained access rights according to SQL-standard
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More resources
	Apache Doris	Atos Standard Common Repository	Microsoft Azure AI Search	Yaacomo
Recent citations in the news	Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB? 5 June 2024, hackernoon.com Workload Isolation in Apache Doris: Optimizing Resource Management and Performance 25 May 2024, hackernoon.com How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second 1 September 2023, KDnuggets Apache Doris just 'graduated': Why care about this SQL data warehouse 24 June 2022, InfoWorld Using Arrow Flight SQL Protocol in Apache Doris 2.1 For Super Fast Data Transfer 8 May 2024, hackernoon.com provided by Google News		Announcing updates to Azure AI Search to help organizations build and scale generative AI applications 4 April 2024, Microsoft Microsoft and ServiceNow at Knowledge 2024: Introducing generative AI innovation 13 June 2024, Microsoft Azure OpenAI Service: Transforming legal practices with generative AI solutions 12 June 2024, Microsoft Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates 2 April 2024, Microsoft Raise the bar on AI-powered app development with Azure Database for PostgreSQL 5 June 2024, Microsoft provided by Google News

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