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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

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, enabling users to build, train, and deploy models more effectively. The platform supports collaborative project work, secure data sharing, and access to Amazon’s AI services for generative AI app development. With built-in tools for model training, inference, and evaluation, SageMaker Unified Studio accelerates the AI development lifecycle.

Description

Leverage the capabilities of Qlik® Staige™ to transform AI into a tangible reality by establishing a reliable data infrastructure, incorporating automation, generating actionable predictions, and creating a significant impact across your organization. AI transcends mere experiments and initiatives; it represents a comprehensive ecosystem filled with files, scripts, and outcomes. Regardless of where you allocate your resources, we have collaborated with premier sources to provide integrations that enhance efficiency, facilitate management, and ensure quality assurance. Streamline the process of delivering real-time data to AWS data warehouses or data lakes, making it readily available through a well-governed catalog. Our latest partnership with Amazon Bedrock allows for seamless connections to essential large language models (LLMs) such as A21 Labs, Amazon Titan, Anthropic, Cohere, and Meta. This smooth integration with Amazon Bedrock not only simplifies access for AWS customers but also empowers them to harness large language models alongside analytics, resulting in insightful, AI-driven conclusions. By utilizing these advancements, organizations can fully unlock their data's potential in innovative ways.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Athena Yes 
Amazon Bedrock Yes 
Amazon Redshift Yes 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Cohere Yes 
AWS Glue Yes 
Amazon Comprehend No 
Amazon Q Developer Yes 
Amazon SageMaker Canvas Yes 
Amazon SageMaker Data Wrangler Yes 
Amazon SageMaker Edge Yes 
Amazon SageMaker JumpStart Yes 
Apache Drill No 
Azure Databricks No 
Azure Storage No 
Dropbox No 
Google Drive No 
LightOn Yes 
Llama Yes 

Integrations

Amazon Athena Yes 
Amazon Bedrock Yes 
Amazon Redshift Yes 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Cohere Yes 
AWS Glue No 
Amazon Comprehend Yes 
Amazon Q Developer No 
Amazon SageMaker Canvas No 
Amazon SageMaker Data Wrangler No 
Amazon SageMaker Edge No 
Amazon SageMaker JumpStart No 
Apache Drill Yes 
Azure Databricks Yes 
Azure Storage Yes 
Dropbox Yes 
Google Drive Yes 
LightOn No 
Llama No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/unified-studio/

Vendor Details

Company Name

QlikTech

Website

staige.qlik.com

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Product Features

Alternatives