DBMS > Pinecone vs. WakandaDB vs. Weaviate

System Properties Comparison Pinecone vs. WakandaDB vs. Weaviate

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Editorial information provided by DB-Engines

Name

Description

A managed, cloud-native vector database

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

An AI-native realtime vector database engine that integrates scalable machine learning models.

Primary database model

Vector DBMS

Object oriented DBMS

Vector DBMS

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

Score	2.94
Rank	#84	Overall
	#5	Vector DBMS

Score	0.03
Rank	#360	Overall
	#17	Object oriented DBMS

Score	1.65
Rank	#133	Overall
	#10	Vector DBMS

Website

www.pinecone.io

wakanda.github.io

github.com/weaviate/weaviate
weaviate.io

Technical documentation

docs.pinecone.io/docs/overview

wakanda.github.io/doc

weaviate.io/developers/weaviate

Developer

Pinecone Systems, Inc

Wakanda SAS

Weaviate B.V.

Initial release

2019

2012

2019

Current release

2.7.0 (April 29, 2019), April 2019

1.19, May 2023

License

Commercial or Open Source

commercial

Open Source

AGPLv3, extended commercial license available

Open Source

commercial license available with Weaviate Enterprise

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

C++, JavaScript

Server operating systems

hosted

Linux
OS X
Windows

Data scheme

yes

yes, maps to GraphQL interface

Typing

predefined data types such as float or date

String, Number, Boolean

yes

string, int, float, geo point, date, cross reference, fuzzy references

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

all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed

SQL

Support of SQL

GraphQL is used as query language

APIs and other access methods

RESTful HTTP API

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

Python

JavaScript

JavaScript / TypeScript
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

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

yes

API Keys
OpenID Connect Discovery

More information provided by the system vendor

Specific characteristics

Weaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantages

Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more

Typical application scenarios

As a database supporting the development of generative AI and semantic search applications...
» more

Key customers

All companies that have data.
» more

Market metrics

As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more

Licensing and pricing models

Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources

DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Weaviate, an ANN Database with CRUD support
2 February 2021, Etienne Dilocker, SeMI Technologies (sponsor)

show all

Recent citations in the news

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

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

First-of-its-kind Pinecone Knowledge Platform to Power Best-in-class Retrieval for Customers
3 December 2024, PR Newswire

Pinecone Revamps Retrieval Capabilities for Its Vector Database Platform
2 December 2024, The New Stack

Pinecone provides Assistant for generative AI development
23 January 2025, TechTarget

provided by Google News

Database company Weaviate speeds up AI development with flexible vector embeddings service
3 December 2024, SiliconANGLE News

Weaviate launches vector embeddings generation service
3 December 2024, Blocks and Files

Weaviate Researchers Introduce Function Calling for LLMs: Eliminating SQL Dependency to Improve Database Querying Accuracy and Efficiency
7 February 2025, MarkTechPost

Weaviate Achieves Amazon Web Services GenAI Competency Status
8 July 2024, GlobeNewswire

Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology
21 April 2023, PR Newswire

provided by Google News

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