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Weaviate System Properties

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Name

Description

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

Primary database model

Vector DBMS

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

Score	1.81
Rank	#126	Overall
	#11	Vector DBMS

Website

github.com/weaviate/weaviate
weaviate.io

Technical documentation

weaviate.io/developers/weaviate

Developer

Weaviate B.V.

Initial release

2019

Current release

1.19, May 2023

License

Commercial or Open Source

Open Source

commercial license available with Weaviate Enterprise

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

Data scheme

yes, maps to GraphQL interface

Typing

predefined data types such as float or date

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

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

JavaScript / TypeScript
Python

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

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

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

API Keys
OpenID Connect Discovery

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More resources

DB-Engines blog posts

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

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Recent citations in the news

Learn how Oracle tops Weaviate for vector search scalability, availability
18 March 2025, Oracle

Weaviate unveils three AI vector database agents
6 March 2025, Blocks and Files

Video: How Weaviate Is Revolutionizing Search With AI
5 March 2025, Channel Insider

Weaviate adds agents to its tech stack to ease gen AI app development
11 March 2025, InfoWorld

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

provided by Google News

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