DBMS > ReductStore vs. SQL.JS vs. TempoIQ vs. Transbase

System Properties Comparison ReductStore vs. SQL.JS vs. TempoIQ vs. Transbase

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Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

Description

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.

Port of SQLite to JavaScript

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

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

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Score	0.17
Rank	#334	Overall
	#148	Relational DBMS

Website

github.com/reductstore
www.reduct.store

sql.js.org

tempoiq.com (offline)

www.transaction.de/en/products/transbase.html

Technical documentation

www.reduct.store/docs

sql.js.org/documentation/index.html

www.transaction.de/en/products/transbase/features.html

Developer

ReductStore LLC

Alon Zakai

enhancements implemented by others

TempoIQ

Transaction Software GmbH

Initial release

2023

2012

1987

Current release

1.9, March 2024

Transbase 8.3, 2022

License

Commercial or Open Source

Open Source

Business Source License 1.1

Open Source

commercial

free development license

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

C++, Rust

JavaScript

C and C++

Server operating systems

Docker
Linux
macOS
Windows

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

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

yes

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

yes

SQL-92 is not fully supported

yes

APIs and other access methods

HTTP API

JavaScript API

HTTP API

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C++
JavaScript (Node.js)
Python
Rust

JavaScript

C#
Java
JavaScript

Node.js
Python
Ruby

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Realtime Alerts

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

except by serializing a db to a file

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

simple authentication-based access control

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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