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Description
Amazon SageMaker Studio serves as a comprehensive integrated development environment (IDE) that offers a unified web-based visual platform, equipping users with specialized tools essential for every phase of machine learning (ML) development, ranging from data preparation to the creation, training, and deployment of ML models, significantly enhancing the productivity of data science teams by as much as 10 times. Users can effortlessly upload datasets, initiate new notebooks, and engage in model training and tuning while easily navigating between different development stages to refine their experiments. Collaboration within organizations is facilitated, and the deployment of models into production can be accomplished seamlessly without leaving the interface of SageMaker Studio. This platform allows for the complete execution of the ML lifecycle, from handling unprocessed data to overseeing the deployment and monitoring of ML models, all accessible through a single, extensive set of tools presented in a web-based visual format. Users can swiftly transition between various steps in the ML process to optimize their models, while also having the ability to replay training experiments, adjust model features, and compare outcomes, ensuring a fluid workflow within SageMaker Studio for enhanced efficiency. In essence, SageMaker Studio not only streamlines the ML development process but also fosters an environment conducive to collaborative innovation and rigorous experimentation.
Amazon SageMaker Unified Studio provides a seamless and integrated environment for data teams to manage AI and machine learning projects from start to finish. It combines the power of AWS’s analytics tools—like Amazon Athena, Redshift, and Glue—with machine learning workflows.
Description
Velda offers a development environment that allows developers to execute jobs directly in the cloud or cluster without any additional setup required. This seamless access grants developers immediate availability of computational resources, such as GPUs, which are essential for tasks like machine learning training, simulations, and batch processing, all while delivering a user experience akin to local settings and allowing for complete customization. Furthermore, this solution simplifies the workflow, enabling teams to focus more on innovation rather than infrastructure management.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
AWS Glue
Yes
Amazon EC2
No
Amazon EMR
Yes
Amazon SageMaker
Yes
Amazon SageMaker Data Wrangler
Yes
Amazon SageMaker Debugger
Yes
Amazon Web Services (AWS)
Yes
Google Compute Engine
No
Jupyter Notebook
Yes
Kubernetes
No
Integrations
AWS Glue
No
Amazon EC2
Yes
Amazon EMR
No
Amazon SageMaker
No
Amazon SageMaker Data Wrangler
No
Amazon SageMaker Debugger
No
Amazon Web Services (AWS)
No
Google Compute Engine
Yes
Jupyter Notebook
No
Kubernetes
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Open source available.
Contact for enterprise pricing.
Contact for enterprise pricing.
Free Trial
No
Free Version
Yes
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
Yes
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)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/sagemaker/studio/
Vendor Details
Company Name
Velda
Founded
2025
Country
United States
Website
velda.io
Product Features
IDE
Code Completion
No
Compiler
No
Cross Platform Support
No
Debugger
No
Drag and Drop UI
No
Integrations and Plugins
No
Multi Language Support
No
Project Management
No
Text Editor / Code Editor
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Application Development
Access Controls/Permissions
Yes
Code Assistance
No
Code Refactoring
No
Collaboration Tools
No
Compatibility Testing
No
Data Modeling
No
Debugging
No
Deployment Management
Yes
Graphical User Interface
Yes
Mobile Development
No
No-Code
No
Reporting/Analytics
No
Software Development
Yes
Source Control
No
Testing Management
No
Version Control
No
Web App Development
No
