DBMS > Microsoft Azure AI Search vs. Microsoft Azure Data Explorer vs. OrigoDB vs. Sequoiadb

System Properties Comparison Microsoft Azure AI Search vs. Microsoft Azure Data Explorer vs. OrigoDB vs. Sequoiadb

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Name	Microsoft Azure AI Search  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	OrigoDB  Xexclude from comparison	Sequoiadb  Xexclude from comparison
Description	Search-as-a-service for web and mobile app development	Fully managed big data interactive analytics platform	A fully ACID in-memory object graph database	NewSQL database with distributed OLTP and SQL
Primary database model	Search engine	Relational DBMS column oriented	Document store Object oriented DBMS	Document store Relational DBMS
Secondary database models	Vector DBMS	Document store If a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell Event Store this is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps) Spatial DBMS Search engine support for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine Time Series DBMS see docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 5.52 Rank #59   Overall #6   Search engines	Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.06 Rank #380   Overall #50   Document stores #19   Object oriented DBMS	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS
Website	azure.microsoft.com/­en-us/­services/­search	azure.microsoft.com/­services/­data-explorer	origodb.com	www.sequoiadb.com
Technical documentation	learn.microsoft.com/­en-us/­azure/­search	docs.microsoft.com/­en-us/­azure/­data-explorer	origodb.com/­docs	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Microsoft	Microsoft	Robert Friberg et al	Sequoiadb Ltd.
Initial release	2015	2019	2009 under the name LiveDB	2013
Current release	V1	cloud service with continuous releases
License Commercial or Open Source	commercial	commercial	Open Source	Open Source Server: AGPL; Client: Apache V2
Cloud-based only Only available as a cloud service	yes	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language			C#	C++
Server operating systems	hosted	hosted	Linux Windows	Linux
Data scheme	yes	Fixed schema with schema-less datatypes (dynamic)	yes	schema-free
Typing predefined data types such as float or date	yes	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	User defined using .NET types and collections	yes oid, date, timestamp, binary, regex
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 can be achieved using .NET	no
Secondary indexes	yes	all fields are automatically indexed	yes	yes
SQL Support of SQL	no	Kusto Query Language (KQL), SQL subset	no	SQL-like query language
APIs and other access methods	RESTful HTTP API	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	.NET Client API HTTP API LINQ	proprietary protocol using JSON
Supported programming languages	C# Java JavaScript Python	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net	.Net C++ Java PHP Python
Server-side scripts Stored procedures	no	Yes, possible languages: KQL, Python, R	yes	JavaScript
Triggers	no	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes Domain Events	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding Implicit feature of the cloud service	horizontal partitioning client side managed; servers are not synchronized	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	Source-replica replication	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency Immediate Consistency		Eventual Consistency
Foreign keys Referential integrity	no	no	depending on model	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	ACID	Document is locked during a transaction
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes Write ahead log	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no	yes	no
User concepts Access control	yes using Azure authentication	Azure Active Directory Authentication	Role based authorization	simple password-based access control
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More resources
	Microsoft Azure AI Search	Microsoft Azure Data Explorer	OrigoDB	Sequoiadb
Recent citations in the 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	We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates 31 May 2024, Microsoft Update records in a Kusto Database (public preview) | Azure updates 20 February 2024, Microsoft Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates 8 January 2024, Microsoft Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints ... 5 February 2024, Microsoft Migration of Azure Virtual Network injected Azure Data Explorer cluster to Private Endpoints | Azure updates 4 December 2023, Microsoft provided by Google News

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