Amazon Redshift Serverless makes it easy to run analytics workloads of any size without having to manage data warehouse infrastructure. Developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dash boarding applications, perform real-time analytics, share and collaborate on data, and build and train machine learning models. With Redshift, you can get insights from large amounts of data in seconds. It automatically provisions and scales data warehouse capacity to deliver fast performance for even the most demanding workloads, and you only pay for what you use. Redshift offers flexibility to support a diverse set of workloads of varying complexity, starting at a low price point. You can load data and start querying right away in Amazon Redshift Query Editor or your favorite business intelligence tool, and enjoy the best price performance and familiar SQL features in an easy-to-use, zero administration environment.

Get started with Amazon Redshift Serverless (1:28)

Benefits

Get insights from data in seconds

Focus on obtaining insights by getting starting quickly and running real-time or predictive analytics on all your data. Don't worry about managing data warehouse infrastructure. We take care of it for you.

Experience consistently high performance

Amazon Redshift Serverless automatically scales data warehouse capacity up or down to deliver consistently fast performance for even the most demanding and unpredictable workloads.

Save costs and stay on budget

Pay only for what you use—on a per-second basis. When the data warehouse is idle, you pay nothing. Start your analytics workloads of any size cost effectively with support for a lower data warehouse capacity configuration. See pricing.

Get started with no modifications

Benefit from powerful analytics with an easy-to-use experience, without impacting existing applications or your usage of advanced capabilities such as ML. Just load data and get started with your favorite BI tool.

Use cases

Self-service analytics

Perform what-if analyses, anomaly detection, and ML-based forecasting, and get fast, actionable insights from your data.

Auto scaling

Scale resources seamlessly and maintain consistent performance for thousands of concurrent users as workload demands change or spike with traffic.

Customers and partners

NextGen Healthcare
NextGen Healthcare is a leading provider of innovative healthcare technology solutions on a mission to improve the lives of those who practice medicine and their patients.

“Our NextGen Population Health solution provides actionable insights directly to care teams via the aggregation and transformation of multi-source data. Optimizing our systems to reduce manual interventions like setting up and managing data warehouse infrastructure is critical to our success. With Amazon Redshift Serverless, we’re no longer managing complex warehouse orchestration systems. Amazon Redshift Serverless has improved workload performance, and its auto-scaling capabilities allow us to use the speed of Amazon Redshift for even our most dynamic workloads while only paying for what we use. We’re excited to migrate additional workloads to Amazon Redshift Serverless. It’s a game changer.”

Owen Zacharias, Vice President, Application Delivery - NextGen Healthcare
Matillion
Matillion is a cloud-native data integration platform that helps modern teams transform their business with data.

“Enterprises are continuously looking for ways to leverage cloud platforms for analytics projects to reduce costs and increase productivity without sacrificing performance. With Amazon Redshift Serverless, data teams can start their cloud journey with convenient, easy to use, on-demand data warehousing and pay-as-you-go pricing. We’re excited to leverage Amazon Redshift Serverless, which integrates natively with Matillion to help teams transform and sync data and accelerate time to insights regardless of scale.”

Rob Cornell, Head of Cloud and Technology Alliances - Matillion
Sedric
Sedric is an AI risk and compliance excellence platform designed for the new generation of fintech.

“Ease of use and self-service data access is key for our analytics initiatives. With Amazon Redshift Serverless, we don’t have to think about managing the data warehouse. Data from Amazon S3 gets loaded 7x faster than our previous solution, helping us get actionable insights from the millions of customer events loaded. We are thrilled with the performance improvements and cost optimizations we are seeing with Amazon Redshift Serverless.”

Tomer Levi, Vice President of R&D - Sedric
Roche
Roche is the largest pharmaceutical company in the world and the leading provider of cancer treatments globally.

“Amazon Redshift Serverless helps us complete our data management without having to manage clusters and optimizes our cost by provisioning just the right amount of capacity to meet demand. Amazon Redshift Serverless is reducing the operational burden, lowering costs, and enabling scale for the Roche Go-to-Market domain. This simplification is a game changer, helping us rapidly onboard and support a variety of analytics-heavy use cases without friction.”

Dr. Yannick Misteli, Lead Cloud Platform & ML Engineer - Roche
Huron
Huron is a global professional services firm that collaborates with clients to create sound strategies, optimize operations, accelerate digital transformation, and empower businesses and their people to own their future.

“We're thrilled to include Amazon Redshift Serverless as an exciting addition to our data analytics workflow. This offering seamlessly replaces several parts of our previous infrastructure, and its simplicity makes it very easy to use. Amazon Redshift Serverless drastically helps reduce data engineering latency and acts as a force-multiplier in accelerating development. Implementing Amazon Redshift Serverless helped us cut through our data engineering backlog and now allows us to spend more of our time gathering insights from the data.”

Harry Gollakota, Data Engineer - Huron
Informatica
Informatica provides an end-to-end cloud data management platform that connects, manages, unifies, and governs data, empowering enterprises to modernize and advance their data strategies.

“Organizations today are looking to expand data and analytics but face challenges with data silos, cost constraints, and infrastructure management. Amazon Redshift Serverless helps address these challenges by automatically provisioning and scaling resources to meet demand, making it easy to run analytics without the need to set up and manage data warehouse infrastructure or the worry of incurring excess costs by overprovisioning for peak demand. Together with our Intelligent Data Management Cloud on AWS, Amazon Redshift Serverless helps us provide Informatica customers with a serverless data and analytics foundation to power their most business-critical initiatives.”

Rik Tamm-Daniels, GVP Ecosystems - Informatica
The Rail Delivery Group (RDG)
The Rail Delivery Group (RDG) brings together the companies that run Britain’s railway into a single team to deliver a better railway experience.

“Amazon Redshift Serverless delivers high performance for our teams, and because it automatically provisions and manages the underlying data warehouse, more of our business users can quickly and easily get insights from data. Amazon Redshift Serverless automatically scales data warehouse capacity to handle even our most demanding and unpredictable workloads, helping us lower our costs and expand the use of analytics across our organization.”

Toby Ayre, Head of Data and Analytics - Rail Delivery Group
Schoo
Schoo encourages people to keep learning new things for a lifetime by offering live video streaming services and online community.

“Schoo encourages people to keep learning new things for a lifetime by offering live video streaming services and online community. Our analytics workloads are often small since we are running multiple different data exploration and experimental workloads in our growing business as a startup company. For these small analytics workloads we often used services from other vendors that required us to introduce security concerns in transferring data. We already heavily use AWS services and Amazon Redshift Serverless is perfect for us to consolidate the entire analytics workload onto one platform. With the introduction of smaller RPU configuration in Redshift Serverless, we no longer need to worry about infrastructure tuning or security risks and can accommodate many small analytics workloads. In addition, we believe this new feature will enable us to operate a high-performant data analytics platform at an affordable cost, saving 20% more than other analytics vendors."

Yuichi Komatsu, Data Engineer, Development Unit