CertificationService Delivery Program
Amazon Redshift
As an Amazon Redshift Delivery Partner, we use Amazon Redshift’s use of SQL to analyse structured and semi-structured data across data warehouses, operational databases and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.
Overview
We can help you gain up to 3x better price performance than any other cloud data warehouse, with performance innovation out of the box at no additional cost to you. This means turning data to insights in seconds without the worry of infrastructure management. With Redshift, you’ll have the most secure and reliable data warehouse service possible.
Tens of thousands of customers use Amazon Redshift every day to run SQL analytics in the cloud, processing exabytes of data for business insights. Whether your growing data is stored in operational data stores, data lakes, streaming data services or third-party datasets, Amazon Redshift helps you securely access, combine, and share data with minimal movement or copying. Amazon Redshift is deeply integrated with AWS database, analytics, and machine learning services to employ Zero-ETL approaches or help you access data in place for near real-time analytics, build machine learning models in SQL, and enable Apache Spark analytics using data in Redshift.
Amazon Redshift has the capability to perform multiple tasks, here’s just a few top use cases which could be beneficial to your business:
Collect data through traditional data warehouses.
Store & process data with log analysis.
Quickly analyse data for business applications.
Receive time-sensitive data reporting for mission-critical workloads.
With Amazon Redshift, you can start small at $0.25 per hour and scale up to petabytes of data and thousands of concurrent users. Choose what is right for your business needs, with the ability to grow storage without over-provisioning compute or storage. With provisioned Amazon Redshift, you can choose On-Demand Instances and pay for your database by the hour with no long-term commitments or upfront fees, or choose Reserved Instances for additional savings. Alternatively, Amazon Redshift Serverless allows you to pay for usage by automatically starting up, shutting down, and scaling capacity up or down based on your application’s needs, so you pay only for capacity consumed while processing the workload.
Tens of thousands of customers use Amazon Redshift every day to run SQL analytics in the cloud, processing exabytes of data for business insights. Whether your growing data is stored in operational data stores, data lakes, streaming data services or third-party datasets, Amazon Redshift helps you securely access, combine, and share data with minimal movement or copying. Amazon Redshift is deeply integrated with AWS database, analytics, and machine learning services to employ Zero-ETL approaches or help you access data in place for near real-time analytics, build machine learning models in SQL, and enable Apache Spark analytics using data in Redshift.
Amazon Redshift has the capability to perform multiple tasks, here’s just a few top use cases which could be beneficial to your business:
Collect data through traditional data warehouses.
Store & process data with log analysis.
Quickly analyse data for business applications.
Receive time-sensitive data reporting for mission-critical workloads.
With Amazon Redshift, you can start small at $0.25 per hour and scale up to petabytes of data and thousands of concurrent users. Choose what is right for your business needs, with the ability to grow storage without over-provisioning compute or storage. With provisioned Amazon Redshift, you can choose On-Demand Instances and pay for your database by the hour with no long-term commitments or upfront fees, or choose Reserved Instances for additional savings. Alternatively, Amazon Redshift Serverless allows you to pay for usage by automatically starting up, shutting down, and scaling capacity up or down based on your application’s needs, so you pay only for capacity consumed while processing the workload.
Want to find out more?
Got questions? We’ve got answers! Find out how our team can get you up and running with Amazon Redshift.