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DBMS > EventStoreDB vs. Google Cloud Datastore vs. Hyprcubd vs. SQL.JS

System Properties Comparison EventStoreDB vs. Google Cloud Datastore vs. Hyprcubd vs. SQL.JS

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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.

Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform

Serverless Time Series DBMS

Port of SQLite to JavaScript

Primary database model

Time Series DBMS

Relational DBMS

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

Score	1.19
Rank	#173	Overall
	#1	Event Stores

Score	4.36
Rank	#72	Overall
	#12	Document stores

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

www.eventstore.com

cloud.google.com/datastore

hyprcubd.com (offline)

Technical documentation

developers.eventstore.com

cloud.google.com/datastore/docs

sql.js.org/documentation/index.html

Developer

Event Store Limited

Google

Hyprcubd, Inc.

Alon Zakai

enhancements implemented by others

Initial release

2012

2008

2012

Current release

21.2, February 2021

License

Commercial or Open Source

Open Source

commercial

commercial

Open Source

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

Go

JavaScript

Server operating systems

Linux
Windows

hosted

hosted

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

schema-free

yes

yes

Typing

predefined data types such as float or date

yes, details here

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.

no

no

no

Secondary indexes

yes

no

SQL

Support of SQL

SQL-like query language (GQL)

SQL-like query language

yes

SQL-92 is not fully supported

APIs and other access methods

gRPC (using protocol buffers) API
RESTful HTTP/JSON API

gRPC (https)

JavaScript API

Supported programming languages

.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

JavaScript

Server-side scripts

Stored procedures

using Google App Engine

no

no

Triggers

Callbacks using the Google Apps Engine

no

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication using Paxos

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on type of query and configuration

Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.

Eventual Consistency

none

Foreign keys

Referential integrity

yes

via ReferenceProperties or Ancestor paths

no

yes

Transaction concepts

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

ACID

Serializable Isolation within Transactions, Read Committed outside of Transactions

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

no

Durability

Support for making data persistent

yes

yes

no

except by serializing a db to a file

In-memory capabilities

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

no

no

yes

User concepts

Access control

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

token access

no

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More resources

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