DBMS > EventStoreDB vs. Hyprcubd vs. Microsoft Azure Table Storage

System Properties Comparison EventStoreDB vs. Hyprcubd vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines

Name

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

A Wide Column Store for rapid development using massive semi-structured datasets

Primary database model

Event Store

Time Series DBMS

Wide column store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.04
Rank	#178	Overall
	#1	Event Stores

Score	2.66
Rank	#97	Overall
	#7	Wide column stores

Website

www.eventstore.com

hyprcubd.com (offline)

azure.microsoft.com/en-us/services/storage/tables

Technical documentation

developers.eventstore.com

Developer

Event Store Limited

Hyprcubd, Inc.

Microsoft

Initial release

2012

Current release

21.2, February 2021

License

Commercial or Open Source

Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Server operating systems

Linux
Windows

hosted

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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.

Secondary indexes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

gRPC (https)

RESTful HTTP API

Supported programming languages

.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

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.

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

token access

Access rights based on private key authentication or shared access signatures

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More resources

Recent citations in the news

Event Store Expands Cloud Access to Industry-First Event-Native Data Platform to Power Real-Time Data Analytics, Microservices and AI Applications
9 October 2024, Business Wire

provided by Google News

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How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB
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7 October 2015, Microsoft

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14 October 2014, Visual Studio Magazine

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