DBMS > Graph Engine vs. ReductStore

System Properties Comparison Graph Engine vs. ReductStore

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Editorial information provided by DB-Engines

Name

Description

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

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

Graph DBMS
Key-value store

Time Series DBMS

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

Score	0.58
Rank	#238	Overall
	#21	Graph DBMS
	#33	Key-value stores

Score	0.02
Rank	#371	Overall
	#40	Time Series DBMS

Website

www.graphengine.io

github.com/reductstore
www.reduct.store

Technical documentation

www.graphengine.io/docs/manual

www.reduct.store/docs

Developer

Microsoft

ReductStore LLC

Initial release

2010

2023

Current release

1.9, March 2024

License

Commercial or Open Source

Open Source

MIT License

Open Source

Business Source License 1.1

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

.NET and C

C++, Rust

Server operating systems

.NET

Docker
Linux
macOS
Windows

Data scheme

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.

SQL

Support of SQL

APIs and other access methods

RESTful HTTP API

HTTP API

Supported programming languages

C#
C++
F#
Visual Basic

C++
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

yes

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Foreign keys

Referential integrity

Transaction concepts

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

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

In-memory capabilities

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

yes

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More resources

Recent citations in the news

Trinity
30 October 2010, Microsoft

IBM releases Graph, a service that can outperform SQL databases
27 July 2016, GeekWire

The graph analytics landscape 2019
27 February 2019, Data Science Central

Microsoft Demos New Office 365 and SharePoint Online Collaboration Technologies
3 March 2014, redmondmag.com

How Google and Microsoft taught search to “understand” the Web
6 June 2012, Ars Technica

provided by Google News

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