DBMS > Pinecone vs. SwayDB vs. Transwarp ArgoDB

System Properties Comparison Pinecone vs. SwayDB vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

A managed, cloud-native vector database

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

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Vector DBMS

Key-value store

Relational DBMS

Secondary database models

Search engine

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

Score	3.16
Rank	#95	Overall
	#2	Vector DBMS

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

Score	0.07
Rank	#350	Overall
	#153	Relational DBMS

Website

www.pinecone.io

swaydb.simer.au

www.transwarp.cn/en/product/argodb

Technical documentation

docs.pinecone.io/docs/overview

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

Pinecone Systems, Inc

Simer Plaha

Transwarp

Initial release

2019

2018

License

Commercial or Open Source

commercial

Open Source

GNU Affero GPL V3.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Scala

Server operating systems

hosted

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

String, Number, Boolean

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

Supported programming languages

Python

Java
Kotlin
Scala

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

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

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

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More resources

DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

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

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

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21 May 2024, Datanami

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provided by Google News

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