Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Azure Managed Redis incorporates cutting-edge Redis features, exceptional reliability, and a budget-friendly Total Cost of Ownership (TCO), all tailored for the demands of hyperscale cloud environments. This service operates on a dependable cloud platform, allowing organizations to effortlessly expand and enhance their generative AI applications. By integrating the most recent Redis advancements, Azure Managed Redis is optimized for high-performance, scalable AI solutions. It offers a variety of functionalities, including in-memory data storage, vector similarity search, and real-time data processing, which empower developers to efficiently manage extensive datasets, expedite machine learning processes, and create quicker AI applications. Furthermore, its seamless integration with the Azure OpenAI Service ensures that AI tasks are optimized for speed, scalability, and critical mission applications, positioning it as a premier option for developing advanced, intelligent systems. This combination of features not only supports current technology needs but also prepares businesses for future innovations in artificial intelligence.
Description
Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements.
Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more.
Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Azure Marketplace
Yes
Amazon Web Services (AWS)
No
Azure Cache for Redis
Yes
ChatGPT
No
ChatGPT Plus
No
ChatGPT Pro
No
Cohere
No
Coral
No
Google Cloud Platform
No
HoneyHive
No
Integrations
Azure Marketplace
Yes
Amazon Web Services (AWS)
Yes
Azure Cache for Redis
No
ChatGPT
Yes
ChatGPT Plus
Yes
ChatGPT Pro
Yes
Cohere
Yes
Coral
Yes
Google Cloud Platform
Yes
HoneyHive
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0
Zilliz Cloud on AWS
Compute Unit (CU) - $0.259 / hour
Storage - $0.025 / GB per month
Zilliz Cloud on Google Cloud
Compute Unit (CU) - $0.215 / hour
Storage - $0.02 / GB per month
Compute Unit (CU) - $0.259 / hour
Storage - $0.025 / GB per month
Zilliz Cloud on Google Cloud
Compute Unit (CU) - $0.215 / hour
Storage - $0.02 / GB per month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
www.microsoft.com
Vendor Details
Company Name
Zilliz
Founded
2017
Country
United States
Website
zilliz.com
Product Features
Product Features
Database
Backup and Recovery
Yes
Creation / Development
No
Data Migration
Yes
Data Replication
No
Data Search
Yes
Data Security
Yes
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
Yes
Relational Interface
No
Virtualization
No