DBMS > Pinecone vs. Qdrant vs. TypeDB

System Properties Comparison Pinecone vs. Qdrant vs. TypeDB

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Editorial information provided by DB-Engines

Name

Description

A managed, cloud-native vector database

A high-performance vector database with neural network or semantic-based matching

TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.

Primary database model

Vector DBMS

Graph DBMS

The type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS

The data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS

The type-theoretic data model of TypeDB subsumes the relational database model.

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

Score	3.57
Rank	#74	Overall
	#6	Vector DBMS

Score	2.28
Rank	#106	Overall
	#8	Vector DBMS

Score	0.59
Rank	#233	Overall
	#20	Graph DBMS
	#10	Object oriented DBMS
	#107	Relational DBMS

Website

www.pinecone.io

github.com/qdrant/qdrant
qdrant.tech

typedb.com

Technical documentation

docs.pinecone.io/docs/overview

qdrant.tech/documentation

typedb.com/docs

Developer

Pinecone Systems, Inc

Qdrant

Vaticle

Initial release

2019

2021

2016

Current release

2.28.3, June 2024

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

GPL Version 3, commercial licenses available

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

Rust

Java

Server operating systems

hosted

Docker
Linux
macOS
Windows

Linux
OS X
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

String, Number, Boolean

Numbers, Strings, Geo, 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

Keywords, numberic ranges, geo, full-text

yes

SQL

Support of SQL

APIs and other access methods

RESTful HTTP API

gRPC
OpenAPI 3.0
RESTful HTTP/JSON API

OpenAPI 3.0

gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)

Supported programming languages

Python

.Net
Go
Java
JavaScript (Node.js)
Python
Rust

All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Collection-level replication

Synchronous replication via raft

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency, tunable consistency

Immediate Consistency

Foreign keys

Referential integrity

substituted by the relationship feature

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

Key-based authentication

yes

at REST API level; other APIs in progress

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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 turns unstructured data into knowledgeable AI for developers with Microsoft Azure
4 February 2025, Microsoft

Pinecone integrates AI inferencing with vector database
2 December 2024, Blocks and Files

Pinecone expands vector database with cascading retrieval, boosting enterprise AI accuracy by up to 48%
2 December 2024, VentureBeat

Pinecone Named to Fast Company's Annual List of the World's Most Innovative Companies of 2025
18 March 2025, PR Newswire

Pinecone Revamps Vector Database Architecture for AI Apps
27 February 2025, The New Stack

provided by Google News

Qdrant Receives Industry Honors for Innovation in AI and Vector Search
28 April 2025, Business Wire

Qdrant promises 10x faster indexing with GPU-powered vector database
23 January 2025, Blocks and Files

Open-source vector database Qdrant expands enterprise cloud AI features
4 March 2025, SiliconANGLE

Qdrant update adds security measures for AI development
4 March 2025, TechTarget

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21 April 2025, infoq.com

provided by Google News

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