Amazon SageMaker Unified Studio (preview)
Access all your data and tools for analytics and AI in a single environment, built on Amazon DataZoneAn integrated experience for all your data and AI
Discover your data and put it to work using familiar AWS tools for complete development workflows, including model development, generative AI app development, data processing, and SQL analytics, in a single governed environment. Create or join projects to collaborate with your teams, securely share AI and analytics artifacts, and access your data stored in Amazon Simple Storage Service (Amazon S3), Amazon Redshift, and more data sources through the Amazon SageMaker Lakehouse. As AI and analytics use cases converge, transform how data teams work together with SageMaker Unified Studio.
Use best-in-class tools, no matter the job
Streamline access to familiar tools and functionality from purpose-built AWS analytics and artificial intelligence and machine learning (AI/ML) services like Amazon EMR, AWS Glue, Amazon Athena, Amazon Redshift, Amazon Bedrock, and Amazon SageMaker AI. Build integrated data pipelines with visual extract, transform, and load (ETL) and seamlessly work across different compute resources and clusters using unified notebooks. Use the built-in SQL editor to query data stored in data lakes, data warehouses, databases, and applications.
Train, customize, and deploy AI models at scale
Develop ML and foundation models (FMs) using the fully managed infrastructure, tools, and workflows of SageMaker AI. SageMaker AI offers purpose-built tools and infrastructure for each step of the model lifecycle, including data preparation, training, governance, MLOps, inference, experimentation, pipelines, and model monitoring and evaluation.
Rapidly build custom generative AI applications
Efficiently build generative AI applications in a trusted and secure environment using Amazon Bedrock IDE (preview). Choose from a selection of high-performing FMs and advanced customization capabilities like Amazon Bedrock Knowledge Bases, Guardrails, Agents, and Flows. Rapidly tailor and deploy generative AI applications, and share with the built-in catalog for discovery.
Accelerate your data journey with Amazon Q Developer
Use Amazon Q Developer for tasks across your development lifecycle, including discovering data for projects, quickly ramping up on collaborations, and securely building ML models. Chat with Amazon Q Developer to understand and use your data for each project and use case. Streamline your data journey with Amazon Q to author code, generate SQL, integrate data, troubleshoot, and more.
Customers and partners
NatWest Group
"Our Data Platform Engineering team has been deploying multiple end-user tools for data engineering, ML, SQL, and GenAI tasks. As we look to simplify processes across the bank, we’ve been looking at streamlining user authentication and data access authorization. Amazon SageMaker Unified Studio delivers a ready-made user experience to help us deploy one single environment across the organization, reducing the time required for our data users to access new tools by around 50%."
Zachery Anderson, CDAO, NatWest Group
Trend Micro
"We want to streamline the process of data assessment, so our data analysts, ML scientists, and data engineers can work efficiently. With our long-term partnership with AWS, we are excited about the launch of Amazon SageMaker Unified Studio and its ability to simplify data access and enhance collaboration."
Oscar Chang, CDO, Trend Micro
Adastra
"We build complex data analytics, ML and GenAI applications with built-in data governance and user-friendly interfaces. Before Amazon SageMaker Unified Studio, deploying multiple tools for our customers' data and information workers was mostly manual and time-consuming, and ensuring a robust data architecture provisioning was a challenge. Now, with Amazon SageMaker Unified Studio, we can deploy a single data worker tool for data engineers and ML scientists. We will also be able to automate data infrastructure deployment, allowing us to simplify the process for our customers and enhance their experience.“
Zeeshan Saeed, Chief Technology and Strategy Officer, Adastra
NTT DATA
“When we build data-driven applications for our customers, we want a unified platform where the technologies work together in an integrated way. Amazon SageMaker Unified Studio streamlines our solution delivery processes through comprehensive analytics capabilities, a unified studio experience, and a lakehouse that integrates data management across data warehouses and data lakes. We believe that Amazon SageMaker Unified Studio will reduce the time-to-value for our customers' data projects by up to 40%, helping us with our mission to accelerate our customers' digital transformation journey.“
Akihiro Suzue, Head of Solutions Sector, NTT DATA; Yuji Shono, Senior Manager, Apps & Data Technology Department, NTT DATA; Yuki Saito, Manager, Digital Success Solutions Division, NTT DATA
Salesforce
"We are looking forward to seamless connectivity between Salesforce Data Cloud and Amazon Web Services (AWS) data sources with Amazon SageMaker Unified Studio, integrating code repositories and supporting CICD as well as security controls in a single environment. We are also working together with the AWS team to offer a seamless developer experience, making it easy to customize Data Cloud with code for pro developer personas like data engineers and data scientists."
Rohit Dar, Sr. Director of Product Management, Salesforce
