DBMS > NSDb vs. ReductStore vs. SpatiaLite

System Properties Comparison NSDb vs. ReductStore vs. SpatiaLite

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Editorial information provided by DB-Engines

Name

Description

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

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.

Spatial extension of SQLite

Primary database model

Time Series DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	0.08
Rank	#369	Overall
	#40	Time Series DBMS

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Score	1.63
Rank	#146	Overall
	#3	Spatial DBMS

Website

nsdb.io

github.com/reductstore
www.reduct.store

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

nsdb.io/Architecture

www.reduct.store/docs

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

ReductStore LLC

Alessandro Furieri

Initial release

2017

2023

2008

Current release

1.9, March 2024

5.0.0, August 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Business Source License 1.1

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java, Scala

C++, Rust

C++

Server operating systems

Linux
macOS

Docker
Linux
macOS
Windows

server-less

Data scheme

yes

Typing

predefined data types such as float or date

yes: int, bigint, decimal, string

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

all fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

gRPC
HTTP REST
WebSocket

HTTP API

Supported programming languages

Java
Scala

C++
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

yes

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

Using Apache Lucene

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

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