DBMS > EventStoreDB vs. Microsoft Azure Data Explorer vs. OpenTenBase vs. OrigoDB

System Properties Comparison EventStoreDB vs. Microsoft Azure Data Explorer vs. OpenTenBase vs. OrigoDB

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Editorial information provided by DB-Engines
Name	EventStoreDB  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	OpenTenBase  Xexclude from comparison	OrigoDB  Xexclude from comparison
Description	Industrial-strength, open-source database solution built from the ground up for event sourcing.	Fully managed big data interactive analytics platform	An enterprise-level distributed HTAP open source database based on PostgreSQL	A fully ACID in-memory object graph database
Primary database model	Event Store	Relational DBMS column oriented	Relational DBMS	Document store Object oriented DBMS
Secondary database models		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 3.80 Rank #81   Overall #43   Relational DBMS	Score 0.08 Rank #370   Overall #156   Relational DBMS	Score 0.06 Rank #380   Overall #50   Document stores #19   Object oriented DBMS
Website	www.eventstore.com	azure.microsoft.com/­services/­data-explorer	github.com/­OpenTenBase/­OpenTenBase www.opentenbase.org	origodb.com
Technical documentation	developers.eventstore.com	docs.microsoft.com/­en-us/­azure/­data-explorer	docs.opentenbase.org docs.opentenbase.org/­en	origodb.com/­docs
Developer	Event Store Limited	Microsoft	OpenAtom Foundation, previously Tencent	Robert Friberg et al
Initial release	2012	2019		2009 under the name LiveDB
Current release	21.2, February 2021	cloud service with continuous releases	2.5, January 2024
License Commercial or Open Source	Open Source	commercial	Open Source BSD-3	Open Source
Cloud-based only Only available as a cloud service	no	yes	no	no
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Implementation language				C#
Server operating systems	Linux Windows	hosted	Linux	Linux Windows
Data scheme		Fixed schema with schema-less datatypes (dynamic)	yes	yes
Typing predefined data types such as float or date		yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	yes	User defined using .NET types and collections
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.		yes		no can be achieved using .NET
Secondary indexes		all fields are automatically indexed	yes	yes
SQL Support of SQL		Kusto Query Language (KQL), SQL subset	yes	no
APIs and other access methods		Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API		.NET Client API HTTP API LINQ
Supported programming languages		.Net Go Java JavaScript (Node.js) PowerShell Python R	C Go Java PHP Python	.Net
Server-side scripts Stored procedures		Yes, possible languages: KQL, Python, R		yes
Triggers		yes see docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy	yes	yes Domain Events
Partitioning methods Methods for storing different data on different nodes		Sharding Implicit feature of the cloud service	Sharding	horizontal partitioning client side managed; servers are not synchronized
Replication methods Methods for redundantly storing data on multiple nodes		yes Implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	yes	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		Spark connector (open source): github.com/­Azure/­azure-kusto-spark		no
Consistency concepts Methods to ensure consistency in a distributed system		Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity		no	yes	depending on model
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data		no	ACID	ACID
Concurrency Support for concurrent manipulation of data		yes	yes	yes
Durability Support for making data persistent		yes	yes	yes Write ahead log
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		no		yes
User concepts Access control		Azure Active Directory Authentication	Access rights for users, groups and roles according to SQL-standard	Role based authorization
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More resources
	EventStoreDB	Microsoft Azure Data Explorer	OpenTenBase	OrigoDB
Recent citations in the 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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