DBMS > AlaSQL vs. Dolt vs. Lovefield vs. ReductStore

System Properties Comparison AlaSQL vs. Dolt vs. Lovefield vs. ReductStore

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

A MySQL compatible DBMS with Git-like versioning of data and schema

Embeddable relational database for web apps written in pure JavaScript

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Primary database model

Document store
Relational DBMS

Relational DBMS

Time Series DBMS

Secondary database models

Document store

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

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	1.02
Rank	#191	Overall
	#89	Relational DBMS

Score	0.33
Rank	#286	Overall
	#131	Relational DBMS

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Website

alasql.org

github.com/dolthub/dolt
www.dolthub.com

google.github.io/lovefield

github.com/reductstore
www.reduct.store

Technical documentation

github.com/AlaSQL/alasql

docs.dolthub.com

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

www.reduct.store/docs

Developer

Andrey Gershun & Mathias R. Wulff

DoltHub Inc

Google

ReductStore LLC

Initial release

2014

2018

2014

2023

Current release

2.1.12, February 2017

1.9, March 2024

License

Commercial or Open Source

Open Source

MIT-License

Open Source

Apache Version 2.0

Open Source

Apache 2.0

Open Source

Business Source License 1.1

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

JavaScript

C++, Rust

Server operating systems

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

Linux
macOS
Windows

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

tested with Chrome, Firefox, IE, Safari

Docker
Linux
macOS
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

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

yes

SQL

Support of SQL

Close to SQL99, but no user access control, stored procedures and host language bindings.

yes

SQL-like query language

via JavaScript builder pattern

APIs and other access methods

JavaScript API

CLI Client
HTTP REST

HTTP API

Supported programming languages

JavaScript

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

JavaScript

C++
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

yes

currently in alpha release

Triggers

yes

Using read-only observers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

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

In-memory capabilities

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

yes

using MemoryDB

User concepts

Access control

Only one user is configurable, and must be specified in the config file at startup

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