DBMS > Pinecone vs. SiriDB vs. SpatiaLite

System Properties Comparison Pinecone vs. SiriDB vs. SpatiaLite

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Editorial information provided by DB-Engines

Name

Description

A managed, cloud-native vector database

Open Source Time Series DBMS

Spatial extension of SQLite

Primary database model

Vector DBMS

Time Series DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	3.13
Rank	#88	Overall
	#3	Vector DBMS

Score	0.00
Rank	#378	Overall
	#40	Time Series DBMS

Score	1.59
Rank	#144	Overall
	#3	Spatial DBMS

Website

www.pinecone.io

siridb.com

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

Technical documentation

docs.pinecone.io/docs/overview

docs.siridb.com

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

Developer

Pinecone Systems, Inc

Cesbit

Alessandro Furieri

Initial release

2019

2017

2008

Current release

5.0.0, August 2020

License

Commercial or Open Source

commercial

Open Source

MIT License

Open Source

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

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

hosted

Linux

server-less

Data scheme

yes

Typing

predefined data types such as float or date

String, Number, Boolean

yes

Numeric data

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

yes

APIs and other access methods

RESTful HTTP API

HTTP API

Supported programming languages

Python

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

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

yes

none

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

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

simple rights management via user accounts

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More resources

DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

Pinecone launches its serverless vector database out of preview
21 May 2024, TechCrunch

Pinecone’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

Pinecone launches serverless edition of its vector database on AWS
21 May 2024, SiliconANGLE News

Pinecone Makes Accurate, Fast, Scalable Generative AI Accessible to Organizations Large and Small with Launch of its Serverless Vector Database
21 May 2024, PR Newswire

How a Decades-Old Technology and a Paper From Meta Created an AI Industry Standard
21 May 2024, The Wall Street Journal

provided by Google News

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