DBMS > EventStoreDB vs. Hyprcubd vs. Microsoft Azure Data Explorer vs. SpaceTime

System Properties Comparison EventStoreDB vs. Hyprcubd vs. Microsoft Azure Data Explorer vs. SpaceTime

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Editorial information provided by DB-Engines
Name	EventStoreDB  Xexclude from comparison	Hyprcubd  Xexclude from comparison	Microsoft Azure Data Explorer  Xexclude from comparison	SpaceTime  Xexclude from comparison
		Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Description	Industrial-strength, open-source database solution built from the ground up for event sourcing.	Serverless Time Series DBMS	Fully managed big data interactive analytics platform	SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database model	Event Store	Time Series DBMS	Relational DBMS column oriented	Spatial 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	Relational DBMS
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 0.03 Rank #392   Overall #8   Spatial DBMS
Website	www.eventstore.com	hyprcubd.com (offline)	azure.microsoft.com/­services/­data-explorer	www.mireo.com/­spacetime
Technical documentation	developers.eventstore.com		docs.microsoft.com/­en-us/­azure/­data-explorer
Developer	Event Store Limited	Hyprcubd, Inc.	Microsoft	Mireo
Initial release	2012		2019	2020
Current release	21.2, February 2021		cloud service with continuous releases
License Commercial or Open Source	Open Source	commercial	commercial	commercial
Cloud-based only Only available as a cloud service	no	yes	yes	no
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Implementation language		Go		C++
Server operating systems	Linux Windows	hosted	hosted	Linux
Data scheme		yes	Fixed schema with schema-less datatypes (dynamic)	yes
Typing predefined data types such as float or date		yes time, int, uint, float, string	yes bool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types	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
Secondary indexes		no	all fields are automatically indexed	no
SQL Support of SQL		SQL-like query language	Kusto Query Language (KQL), SQL subset	A subset of ANSI SQL is implemented
APIs and other access methods		gRPC (https)	Microsoft SQL Server communication protocol (MS-TDS) RESTful HTTP API	RESTful HTTP API
Supported programming languages			.Net Go Java JavaScript (Node.js) PowerShell Python R	C# C++ Python
Server-side scripts Stored procedures		no	Yes, possible languages: KQL, Python, R	no
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	Fixed-grid hypercubes
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.	Real-time block device replication (DRBD)
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		Eventual Consistency	Eventual Consistency Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity		no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data		no	no	no
Concurrency Support for concurrent manipulation of data		no	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		token access	Azure Active Directory Authentication	yes
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More resources
	EventStoreDB	Hyprcubd	Microsoft Azure Data Explorer	SpaceTime
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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