DBMS > ReductStore vs. XTDB

System Properties Comparison ReductStore vs. XTDB

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Editorial information provided by DB-Engines

Name

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.

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Time Series DBMS

Document store

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Trend Chart

Score	0.00
Rank	#385	Overall
	#40	Time Series DBMS

Score	0.13
Rank	#330	Overall
	#45	Document stores

Website

github.com/reductstore
www.reduct.store

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

www.reduct.store/docs

www.xtdb.com/docs

Developer

ReductStore LLC

Juxt Ltd.

Initial release

2023

2019

Current release

1.9, March 2024

1.19, September 2021

License

Commercial or Open Source

Open Source

Business Source License 1.1

Open Source

MIT License

Cloud-based only

Only available as a cloud service

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Implementation language

C++, Rust

Clojure

Server operating systems

Docker
Linux
macOS
Windows

All OS with a Java 8 (and higher) VM
Linux

Data scheme

schema-free

Typing

predefined data types such as float or date

yes, extensible-data-notation format

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

limited SQL, making use of Apache Calcite

APIs and other access methods

HTTP API

HTTP REST
JDBC

Supported programming languages

C++
JavaScript (Node.js)
Python
Rust

Clojure
Java

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

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