Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • RaimaDB Reviews & Ratings
    4.8 out of 5 stars 12 Ratings
    Company Website for RaimaDB
  • Google Cloud SQL Reviews & Ratings
    4.5 out of 5 stars 554 Ratings
    Company Website for Google Cloud SQL
  • Couchbase Reviews & Ratings
    4.4 out of 5 stars 418 Ratings
    Company Website for Couchbase
  • DbVisualizer Reviews & Ratings
    4.8 out of 5 stars 593 Ratings
    Company Website for DbVisualizer
  • DataHub Reviews & Ratings
    4.5 out of 5 stars 10 Ratings
    Company Website for DataHub
  • NINJIO Reviews & Ratings
    4.8 out of 5 stars 416 Ratings
    Company Website for NINJIO
  • LM-Kit.NET Reviews & Ratings
    4.8 out of 5 stars 29 Ratings
    Company Website for LM-Kit.NET
  • Google Cloud Platform Reviews & Ratings
    4.5 out of 5 stars 61,093 Ratings
    Company Website for Google Cloud Platform
  • Azore CFD Reviews & Ratings
    4.3 out of 5 stars 26 Ratings
    Company Website for Azore CFD
  • TIMi Reviews & Ratings
    4.9 out of 5 stars 68 Ratings
    Company Website for TIMi

What is Zilliz Cloud?

While working with structured data is relatively straightforward, a significant majority—over 80%—of data generated today is unstructured, necessitating a different methodology. Machine learning plays a crucial role by transforming unstructured data into high-dimensional numerical vectors, which facilitates the discovery of underlying patterns and relationships within that data. However, conventional databases are not designed to handle vectors or embeddings, falling short in addressing the scalability and performance demands posed by unstructured data. Zilliz Cloud is a cutting-edge, cloud-native vector database that efficiently stores, indexes, and searches through billions of embedding vectors, enabling sophisticated enterprise-level applications like similarity search, recommendation systems, and anomaly detection. Built upon the widely-used open-source vector database Milvus, Zilliz Cloud seamlessly integrates with vectorizers from notable providers such as OpenAI, Cohere, and HuggingFace, among others. This dedicated platform is specifically engineered to tackle the complexities of managing vast numbers of embeddings, simplifying the process of developing scalable applications that can meet the needs of modern data challenges. Moreover, Zilliz Cloud not only enhances performance but also empowers organizations to harness the full potential of their unstructured data like never before.

What is Turso?

Turso is a distributed database solution that aligns with SQLite, crafted to provide low-latency data accessibility across diverse environments, including online, offline, and on-device settings. Built on the principles of libSQL, an open-source derivative of SQLite, Turso empowers developers to strategically position databases closer to their users, substantially enhancing application performance. Its seamless integration with a variety of frameworks, languages, and infrastructure providers facilitates streamlined data management for applications leveraging large language models and AI agents. Notable features of Turso encompass unlimited databases, the capability for instant change rollbacks through branching, and robust native vector search functionalities at scale, which allow for efficient parallel searches across multiple users, instances, or contexts via SQL database integration. Security is a key focus for the platform, which incorporates encryption for stored and transmitted data while adopting an API-first strategy that simplifies the management of databases programmatically. Furthermore, Turso's flexible architecture is designed for rapid scaling, allowing it to adapt to the evolving needs of applications, thus making it an ideal choice for developers navigating today's dynamic data-centric environment. As a result, Turso stands out as a powerful tool for developers who prioritize performance, security, and scalability in their database solutions.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
ChatGPT
Cohere
Coral
Google Cloud Platform
HoneyHive
Hugging Face
Java
Milvus
OpenAI
PyTorch

Integrations Supported

Amazon Web Services (AWS)
Amazon S3
Fermyon
Fly.io
PHP
Ruby
SQLite
Swift
Vercel

API Availability

Has API

API Availability

Has API

Pricing Information

$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
Free Trial Offered?

Pricing Information

$8.25 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Zilliz

Date Founded

2017

Company Location

United States

Company Website

zilliz.com

Company Facts

Organization Name

Turso

Date Founded

2021

Company Location

United States

Company Website

turso.tech/

Categories and Features

Anomaly Detection

Not specified

Context Engineering

Not specified

Database

Backup and Recovery
Data Migration
Data Search
Data Security
Queries

Vector Databases

Not specified

Categories and Features

Popular Alternatives

Popular Alternatives

DBeaver Community Reviews & Ratings

DBeaver Community

DBeaver Corp.
5.0 out of 5 stars
Embeddinghub Reviews & Ratings

Embeddinghub

Featureform
Milvus Reviews & Ratings

Milvus

Zilliz