Ratings and Reviews 0 Ratings

Total
ease
features
design
support

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

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

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

Write a Review

Alternatives to Consider

  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • Google Cloud SQL Reviews & Ratings
    554 Ratings
    Company Website
  • Couchbase Reviews & Ratings
    417 Ratings
    Company Website
  • DbVisualizer Reviews & Ratings
    593 Ratings
    Company Website
  • DataHub Reviews & Ratings
    10 Ratings
    Company Website
  • NINJIO Reviews & Ratings
    416 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    61,066 Ratings
    Company Website
  • Azore CFD Reviews & Ratings
    26 Ratings
    Company Website
  • TIMi Reviews & Ratings
    68 Ratings
    Company Website

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 Deeplake?

Deeplake is a GPU-native database and multimodal AI data runtime from Activeloop that helps developers build faster, more capable production AI agents. It is designed for the agentic era, where AI systems do not just query data occasionally but continuously create, retrieve, reason over, and update data during autonomous workflows. Deeplake brings together serverless Postgres, vector search, multimodal data lake functionality, analytical query performance, and GPU acceleration in one platform. The database is built to reduce the bottlenecks caused when AI models run on GPUs but data retrieval still depends on CPU-based systems and repeated data transfers. For agentic loops, Deeplake acts as a high-speed memory layer that helps agents retrieve context and act across rapid cycles. For physical AI, it supports data from robots, sensors, videos, 3D scans, and model artifacts in one searchable system. For generative media, it indexes content by meaning so teams can find images, video, audio, and other assets without depending only on manual folders or tags. Deeplake also supports vector database and RAG workflows, helping teams build applications that need scalable retrieval and context management. Its architecture is positioned around familiar database concepts, including Postgres-style access, while adding AI-optimized storage and GPU-speed execution. Organizations can deploy Deeplake in VPC environments and use it as part of secure enterprise AI infrastructure. With open-source momentum, SOC 2 Type II certification, multimodal support, and GPU-native performance, Deeplake gives AI teams a modern data foundation for agents, robotics, retrieval, training, and media intelligence.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
ChatGPT
Google Cloud Platform
OpenAI
PyTorch
Azure Marketplace
ChatGPT Plus
ChatGPT Pro
Cohere
Coral
HoneyHive
Hugging Face
IBM watsonx.data
Java
Milvus

Integrations Supported

Amazon Web Services (AWS)
ChatGPT
Google Cloud Platform
OpenAI
PyTorch
Activeloop
Amazon SageMaker
Jupyter Notebook
LangChain
TensorFlow

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

$0
Usage-based
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Zilliz

Date Founded

2017

Company Location

United States

Company Website

zilliz.com

Company Facts

Organization Name

Activeloop

Date Founded

2018

Company Location

United States

Company Website

deeplake.ai/

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

AI Fine-Tuning

Not specified

Vector Databases

Not specified

Popular Alternatives

Popular Alternatives

Embeddinghub Reviews & Ratings

Embeddinghub

Featureform
txtai Reviews & Ratings

txtai

NeuML
Milvus Reviews & Ratings

Milvus

Zilliz