DBMS > JaguarDB vs. SpatiaLite vs. SwayDB

System Properties Comparison JaguarDB vs. SpatiaLite vs. SwayDB

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Editorial information provided by DB-Engines

Name

Description

Performant, highly scalable DBMS for AI and IoT applications

Spatial extension of SQLite

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

Key-value store
Vector DBMS

Spatial DBMS

Key-value store

Secondary database models

Relational DBMS

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

Score	0.00
Rank	#383	Overall
	#60	Key-value stores
	#13	Vector DBMS

Score	1.60
Rank	#149	Overall
	#3	Spatial DBMS

Score	0.00
Rank	#382	Overall
	#59	Key-value stores

Website

www.jaguardb.com

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

swaydb.simer.au

Technical documentation

www.jaguardb.com/support.html

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

Developer

DataJaguar, Inc.

Alessandro Furieri

Simer Plaha

Initial release

2015

2008

2018

Current release

3.3 July 2023

5.0.0, August 2020

License

Commercial or Open Source

Open Source

GPL V3.0

Open Source

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

Open Source

GNU Affero GPL V3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

the server part. Clients available in other languages

C++

Scala

Server operating systems

Linux

server-less

Data scheme

yes

schema-free

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

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

APIs and other access methods

JDBC
ODBC

Supported programming languages

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Java
Kotlin
Scala

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

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

rights management via user accounts

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