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DBMS > EventStoreDB vs. Hypertable vs. Lovefield vs. SQL.JS

System Properties Comparison EventStoreDB vs. Hypertable vs. Lovefield vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

Industrial-strength, open-source database solution built from the ground up for event sourcing.

An open source BigTable implementation based on distributed file systems such as Hadoop

Embeddable relational database for web apps written in pure JavaScript

Port of SQLite to JavaScript

Primary database model

Wide column store

Relational 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	0.33
Rank	#286	Overall
	#131	Relational DBMS

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

www.eventstore.com

google.github.io/lovefield

Technical documentation

developers.eventstore.com

github.com/google/lovefield/blob/master/docs/spec_index.md

sql.js.org/documentation/index.html

Developer

Event Store Limited

Hypertable Inc.

Google

Alon Zakai

enhancements implemented by others

Initial release

2012

2009

2014

2012

Current release

21.2, February 2021

0.9.8.11, March 2016

2.1.12, February 2017

License

Commercial or Open Source

Open Source

Open Source

GNU version 3. Commercial license available

Open Source

Apache 2.0

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

JavaScript

JavaScript

Server operating systems

Linux
Windows

Linux
OS X
Windows

an inofficial Windows port is available

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

tested with Chrome, Firefox, IE, Safari

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

Data scheme

schema-free

yes

yes

Typing

predefined data types such as float or date

no

yes

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

Secondary indexes

restricted

only exact value or prefix value scans

yes

SQL

Support of SQL

no

SQL-like query language

via JavaScript builder pattern

yes

SQL-92 is not fully supported

APIs and other access methods

C++ API
Thrift

JavaScript API

Supported programming languages

C++
Java
Perl
PHP
Python
Ruby

JavaScript

JavaScript

Server-side scripts

Stored procedures

no

no

no

Triggers

no

Using read-only observers

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor on file system level

none

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

no

yes

yes

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

Durability

Support for making data persistent

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

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.

yes

using MemoryDB

yes

User concepts

Access control

no

no

no

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More resources

DB-Engines blog posts

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