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What is Weaviate?

Weaviate is an open-source, AI-native database that helps organizations build and ship AI applications on a single, scalable foundation. It stores data objects alongside the vector embeddings produced by your chosen machine learning models and scales smoothly to billions of records. Teams can supply their own vectors or use Weaviate's built-in vectorization, then query their data through vector, keyword, and hybrid search to surface the most relevant results, even with complex filters. By integrating with leading large language models, Weaviate makes it straightforward to build retrieval-augmented generation, grounded question answering, and intelligent search over proprietary data. Beyond core retrieval, Weaviate offers a growing platform: the Query Agent converts natural-language questions into precise, cited queries; Engram provides managed memory that lets AI agents retain context over time; and Weaviate Embeddings handles vectorization as a managed service. Organizations can self-host under an open-source license or adopt fully managed Weaviate Cloud on AWS, GCP, or Azure, with SOC 2 Type II compliance, multi-tenancy, replication, and role-based access control. From semantic search and recommendations to agentic automation, Weaviate turns business data into AI-powered products.

What is Redis?

Redis Labs serves as the official home of Redis, showcasing its leading product, Redis Enterprise, which is recognized as the most advanced version of Redis. Offering much more than mere caching capabilities, Redis Enterprise is accessible for free in the cloud, delivering NoSQL solutions and utilizing the fastest in-memory database available. The platform is designed for scalability and enterprise-level resilience, enabling massive scaling along with user-friendly administration and operational efficiency. Notably, Redis in the Cloud has gained popularity among DevOps professionals due to its capabilities. Developers benefit from advanced data structures and a broad range of modules, empowering them to foster innovation and achieve quicker time-to-market. Chief Information Officers appreciate the robust security and reliable expert support that Redis provides, ensuring an impressive uptime of 99.999%. For scenarios involving active-active configurations, geodistribution, and conflict resolution with read/write operations across multiple regions on the same dataset, relational databases are recommended. Furthermore, Redis Enterprise facilitates various flexible deployment options, making it adaptable to different environments. The ecosystem also includes Redis JSON, Redis Java, and Python Redis, along with best practices for Redis on Kubernetes and GUI management, solidifying its versatility in modern application development.

Media

Media

Integrations Supported

AWS Marketplace
Astro by Astronomer
Azure Marketplace
DigitalOcean
Amazon SageMaker
Anyscale
DSPy
Model Context Protocol (MCP)

Integrations Supported

AWS Marketplace
Astro by Astronomer
Azure Marketplace
DigitalOcean
BlackMonk
Datameer
Flockport
Formal
Lightly
LumisCloud
Lyftrondata
Ndustrial Contxt
ScienceDesk
Tarantool
WEBDEV
YepCode

API Availability

Has API

API Availability

Pricing Information

Free
Open source (free); free Weaviate Cloud tier; paid Cloud plans from $45/mo.
Free Version

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
Windows
Mac
On-Prem

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Weaviate

Date Founded

2019

Company Location

The Netherlands

Company Website

weaviate.io

Company Facts

Organization Name

Redis Labs

Date Founded

2011

Company Location

United States

Company Website

redislabs.com

Categories and Features

AI Memory Layers

Not specified

Context Engineering

Not specified

Vector Databases

Not specified

Categories and Features

Caching

Not specified

Database

Data Migration
Data Replication
Data Security
Database Conversion
Performance Analysis
Queries
Virtualization

Distributed Databases

Not specified

Document Databases

Not specified

Graph Databases

Not specified

In-Memory Databases

Not specified

Key-Value Databases

Not specified

MQTT Brokers

Not specified

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

SQL Databases

Not specified

Time Series Databases

Not specified

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