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features
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support

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Description

JAX is a specialized Python library tailored for high-performance numerical computation and research in machine learning. It provides a familiar NumPy-like interface, making it easy for users already accustomed to NumPy to adopt it. Among its standout features are automatic differentiation, just-in-time compilation, vectorization, and parallelization, all of which are finely tuned for execution across CPUs, GPUs, and TPUs. These functionalities are designed to facilitate efficient calculations for intricate mathematical functions and expansive machine-learning models. Additionally, JAX seamlessly integrates with various components in its ecosystem, including Flax for building neural networks and Optax for handling optimization processes. Users can access extensive documentation, complete with tutorials and guides, to fully harness the capabilities of JAX. This wealth of resources ensures that both beginners and advanced users can maximize their productivity while working with this powerful library.

Description

A vector database designed for scalable similarity searches. Open-source, highly scalable and lightning fast. Massive embedding vectors created by deep neural networks or other machine learning (ML), can be stored, indexed, and managed. Milvus vector database makes it easy to create large-scale similarity search services in under a minute. For a variety languages, there are simple and intuitive SDKs. Milvus is highly efficient on hardware and offers advanced indexing algorithms that provide a 10x speed boost in retrieval speed. Milvus vector database is used in a variety a use cases by more than a thousand enterprises. Milvus is extremely resilient and reliable due to its isolation of individual components. Milvus' distributed and high-throughput nature makes it an ideal choice for large-scale vector data. Milvus vector database uses a systemic approach for cloud-nativity that separates compute and storage.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS EC2 Trn3 Instances Yes 
Amazon S3 No 
Apache Pulsar No 
Cognee No 
Equinox Yes 
Flower Yes 
Gemma 3n Yes 
Grain Yes 
Hugging Face Yes 
IBM watsonx.data No 
IREN Cloud Yes 
Keras Yes 
Kubernetes No 
LiteRT Yes 
NumPy Yes 
Prompt Security No 
Python Yes 
TensorFlow Yes 
Thunder Compute Yes 
Zilliz Cloud No 

Integrations

AWS EC2 Trn3 Instances No 
Amazon S3 Yes 
Apache Pulsar Yes 
Cognee Yes 
Equinox No 
Flower No 
Gemma 3n No 
Grain No 
Hugging Face No 
IBM watsonx.data Yes 
IREN Cloud No 
Keras No 
Kubernetes Yes 
LiteRT No 
NumPy No 
Prompt Security Yes 
Python No 
TensorFlow No 
Thunder Compute No 
Zilliz Cloud Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

JAX

Country

United States

Website

docs.jax.dev/en/latest/

Vendor Details

Company Name

Zilliz

Founded

2020

Country

United States

Website

milvus.io

Product Features

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

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