Machine Learning on AWS

Machine Learning on AWS

AWS empowers users to innovate with machine learning at scale through a robust suite of ML services and infrastructure. With Amazon SageMaker, individuals can efficiently build, train, and deploy models using optimized tools tailored for each step of the ML lifecycle, enhancing productivity and collaboration in secure, preconfigured environments.

Top Machine Learning on AWS Alternatives

1

Azure Data Explorer

Azure Data Explorer is a robust analytics service designed for real-time exploration of extensive log and telemetry data.

By: Microsoft From United States
2

Data Lakes on AWS

Data Lakes on AWS is an advanced data analysis software that automates the configuration of a scalable, serverless data lake architecture.

By: Amazon From United States
3

Interana

Interana offers continuous dynamic insights across all interactions, measuring real-time performance of the digital workforce.

By: Interana From United States
4

Oracle Analytics Server

Empowering business analysts and consumers, Oracle Analytics Server delivers cutting-edge analytics capabilities tailored for on-premises environments.

By: Oracle From United States
5

Exploratory

With an intuitive user interface, this data analysis software empowers users to navigate complex datasets effortlessly.

From United States
6

Oracle Fusion Data Intelligence

The Oracle Fusion Data Intelligence platform enhances decision-making by integrating business data with prebuilt analytics, AI, and machine learning models.

By: Oracle From United States
7

NodeXL

By entering an edge list, users can generate customizable graphs, calculate metrics, and identify clusters...

By: Social Media Research Foundation From United States
8

IBM Analytics for Apache Spark

With integrated Notebooks for seamless coding and analytics, users can leverage built-in machine learning libraries...

By: IBM From United States
9

IMPLAN

With over 45 years of expertise, it offers in-depth modeling tools, extensive labor market data...

By: IMPLAN From United States
10

IBM Decision Optimization Center

By leveraging advanced prescriptive analytics, it efficiently addresses complex planning and scheduling challenges, significantly reducing...

By: IBM From United States
11

Calix Cloud

By simplifying decision-making and enhancing subscriber experiences, it enables rapid service deployment and innovative business...

By: Calix From United States
12

IBM Spectrum Discover

It simplifies storage provisioning, optimizes resource utilization, and ensures data availability, enabling organizations to efficiently...

By: IBM From United States
13

HyperResearch

Its latest version, 4.5.7, features enhanced functionality, allowing researchers in Southeast Asia to analyze data...

By: ResearchWare From United States
14

IBM Watson IoT

By leveraging secure APIs and cloud technologies, companies can access real-time and historical data, create...

By: IBM From United States
15

Elevar

It ensures accurate tracking of conversions, enhances Klaviyo flows, and boosts marketing performance through server-side...

By: Elevar From United States

Top Machine Learning on AWS Features

  • Build ML models at scale
  • Preconfigured deep learning environments
  • Optimized container images
  • Rapid Hugging Face model training
  • Visualization tools for ML
  • Scalable PyTorch support
  • Collaborative Jupyter notebooks
  • Cost-effective generative AI training
  • High-performance GPU instances
  • Distributed training infrastructure
  • Responsible AI integration tools
  • Curated AI use case solutions
  • Global autonomous racing league
  • Comprehensive ML lifecycle education
  • Community of ML experts
  • Curated training resources
  • Secure deep learning applications
  • Fast deployment of ML models
  • Flexible ML application deployment
  • Advanced graphics-intensive capabilities