DBMS > EventStoreDB vs. Hyprcubd vs. YottaDB

System Properties Comparison EventStoreDB vs. Hyprcubd vs. YottaDB

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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 fast and solid embedded Key-value store

Primary database model

Event Store

Time Series DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	1.04
Rank	#181	Overall
	#1	Event Stores

Score	0.21
Rank	#308	Overall
	#44	Key-value stores

Website

www.eventstore.com

hyprcubd.com (offline)

yottadb.com

Technical documentation

developers.eventstore.com

yottadb.com/resources/documentation

Developer

Event Store Limited

Hyprcubd, Inc.

YottaDB, LLC

Initial release

2012

2001

Current release

21.2, February 2021

License

Commercial or Open Source

Open Source

commercial

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

Linux
Windows

hosted

Docker
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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

by using the Octo plugin

APIs and other access methods

gRPC (https)

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

Triggers

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual 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

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.

yes

User concepts

Access control

token access

Users and groups based on OS-security mechanisms

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