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

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

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Editorial information provided by DB-Engines
Name	EventStoreDB  Xexclude from comparison	Microsoft Azure AI Search  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	Sequoiadb  Xexclude from comparison
Description	Industrial-strength, open-source database solution built from the ground up for event sourcing.	Search-as-a-service for web and mobile app development	Fully managed big data interactive analytics platform	NewSQL database with distributed OLTP and SQL
Primary database model	Event Store	Search engine	Relational DBMS column oriented	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 1.19 Rank #173   Overall #1   Event Stores	Score 5.52 Rank #59   Overall #6   Search engines	Score 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.50 Rank #258   Overall #41   Document stores #120   Relational DBMS
Website	www.eventstore.com	azure.microsoft.com/­en-us/­services/­search	azure.microsoft.com/­services/­data-explorer	www.sequoiadb.com
Technical documentation	developers.eventstore.com	learn.microsoft.com/­en-us/­azure/­search	docs.microsoft.com/­en-us/­azure/­data-explorer	www.sequoiadb.com/­en/­index.php?m=Files&a=index
Developer	Event Store Limited	Microsoft	Microsoft	Sequoiadb Ltd.
Initial release	2012	2015	2019	2013
Current release	21.2, February 2021	V1	cloud service with continuous releases
License Commercial or Open Source	Open Source	commercial	commercial	Open Source Server: AGPL; Client: Apache V2
Cloud-based only Only available as a cloud service	no	yes	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language				C++
Server operating systems	Linux Windows	hosted	hosted	Linux
Data scheme		yes	Fixed schema with schema-less datatypes (dynamic)	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	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
Secondary indexes		yes	all fields are automatically indexed	yes
SQL Support of SQL		no	Kusto Query Language (KQL), SQL subset	SQL-like query language
APIs and other access methods		RESTful HTTP API	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	proprietary protocol using JSON
Supported programming languages		C# Java JavaScript Python	.Net Go Java JavaScript (Node.js) PowerShell Python R	.Net C++ Java PHP Python
Server-side scripts Stored procedures		no	Yes, possible languages: KQL, Python, R	JavaScript
Triggers		no	yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	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	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
MapReduce Offers an API for user-defined Map/Reduce methods		no	Spark connector (open source): github.com/­Azure/­azure-kusto-spark	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	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data		no	no	Document is locked during a transaction
Concurrency Support for concurrent manipulation of data		yes	yes	yes
Durability Support for making data persistent		yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		no	no	no
User concepts Access control		yes using Azure authentication	Azure Active Directory Authentication	simple password-based access control
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More resources
	EventStoreDB	Microsoft Azure AI Search	Microsoft Azure Data Explorer	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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