DBMS > SQLite vs. YottaDB

System Properties Comparison SQLite vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

Widely used embeddable, in-process RDBMS

A fast and solid embedded Key-value store

Primary database model

Relational DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	117.77
Rank	#10	Overall
	#7	Relational DBMS

Score	0.20
Rank	#311	Overall
	#46	Key-value stores

Website

www.sqlite.org

yottadb.com

Technical documentation

www.sqlite.org/docs.html

yottadb.com/resources/documentation

Developer

Dwayne Richard Hipp

YottaDB, LLC

Initial release

2000

2001

Current release

3.46.1 (13 August 2024), August 2024

License

Commercial or Open Source

Open Source

Public Domain

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Server operating systems

server-less

Docker
Linux

Data scheme

yes

dynamic column types

schema-free

Typing

predefined data types such as float or date

yes

not rigid because of 'dynamic typing' concept.

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

by using the Octo plugin

APIs and other access methods

ADO.NET

inofficial driver
JDBC

inofficial driver
ODBC

inofficial driver

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

via file-system locks

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

Users and groups based on OS-security mechanisms

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More resources

DB-Engines blog posts

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

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Recent citations in the news

Zero-latency SQLite storage in every Durable Object
26 September 2024, The Cloudflare Blog

Google’s AI Tool Big Sleep Finds Zero-Day Vulnerability in SQLite Database Engine
4 November 2024, The Hacker News

SQLite re-implemented in Rust to achieve asynchronous I/O and other changes
12 December 2024, devclass

How to install SQLite on Windows
20 October 2024, theserverside.com

Google Says Its AI Found SQLite Vulnerability That Fuzzing Missed
4 November 2024, SecurityWeek

provided by Google News

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