Amazon Redshift Customer Success

“Amazon Redshift enables us to provide scientists with near real-time analysis of millions of rows of manufacturing data generated by continuous manufacturing equipment, with 1,600 data points per row. Redshift enables us to query our high-volume data at 10 times the performance of our prior data warehousing solution. Because of the performance and scale Redshift provides, we have increased our manufacturing efficiency by optimizing future manufacturing runs. In addition, we have reduced the time needed to gather and prepare data for regulatory submissions by a factor of five and now avoid repeated experimentation, which would otherwise have taken an extra three weeks of scientists’ time.”  

“Amazon Redshift enables faster business insights and growth, and provides an easy-to-manage infrastructure to support our data workloads. Redshift has given us the confidence to run more data and analytics workloads on AWS and helps us meet the growing needs of our customers.”  

“Amazon Redshift allows us to ingest, optimize, transform, and aggregate billions of transactional events per day at scale, coming to us from a variety of first and third party sources. We query live data across our data warehouse and data lake, and now with the new Amazon Redshift Federated Query feature we can easily query and analyze live data across our relational databases as well. Our petabyte scale data is rapidly growing, and with the innovation in Amazon Redshift RA3 instances and AQUA (Advanced Query Accelerator) for Amazon Redshift we’re thrilled about the prospect of getting 10x faster performance for our most demanding workloads, while keeping our costs flat. AQUA for Amazon Redshift is a great example of how AWS innovates across every layer of the stack to deliver the best solution for their customers.”  

“Amazon Redshift has been a key component of our successful migration off Oracle and has enabled us to significantly reduce the cost of our analytics while scaling to support one of the largest analytical workloads in the world. We currently have over 500PB of data in our Redshift clusters and our Amazon S3 data lakes that we analyze to deliver mission critical insights to support all parts of the company. Working in partnership with AWS, we continue to leverage new features such as Redshift Spectrum. Integration with Redshift Spectrum has significantly reduced the cost of analyzing our largest datasets while providing consistently fast performance.”  

“Migrating to Amazon Redshift in 2014 allowed us to scale to over ten petabytes of uncompressed data with a 10x performance improvement over our prior on-premises system. Today, it is the center of our analytics environment. Since we started using Amazon Redshift, both our data and number of users have increased dramatically. We are impressed with the flexibility and ease of use, even as we scale users and data. The new Amazon Redshift Data Lake Export feature allows us to simplify our workflows to make use of more data across our data lake. We are excited about the new Amazon Redshift RA3 instances with Managed Storage, enabling us to scale compute and storage separately. We also look forward to realizing the benefits of AQUA, Advanced Query Accelerator, for Amazon Redshift as we continue to increase the performance and scale of our Amazon Redshift data warehouse. We appreciate AWS’s continual innovation on behalf of its customers.”

“We moved our mission-critical workloads to Amazon Redshift from our on-premises environment to speed development, innovate faster, and better solve customers’ needs. Redshift’s performance allows us to scale our workloads by over 3x in 2019 at no additional cost. With new features such as Auto-Vacuum and Auto-Analyze, we’ve been able to eliminate all of our database maintenance jobs, enabling our team to focus on our customers. More teams at Intuit are looking to use Redshift for an ever-wider array of business opportunities because of its exceptional performance, cost, and elasticity.”  

“We continue to adopt new Redshift features and are thrilled with the new RA3 instance type. We have observed a 1.9x performance improvement over DS2 and 1.5x performance improvement over DC2 in our workload, while keeping the same costs and providing scalable managed storage. This allows us to keep pace with explosive data growth and have the necessary fuel to train our machine learning systems.”  

“We use Amazon Redshift to analyze the events from our app to gain insight into how users learn with Duolingo. We load billions of events each day into Amazon Redshift, have hundreds of terabytes of data, and that is expected to double every year. While we store and process all of our data, most of the analysis only uses a subset of that data. The new Redshift RA3 instances with Managed Storage deliver 2x performance for most of our queries compared to our previous DS2 instances based Redshift cluster. The Redshift Managed Storage automatically adapts to our usage patterns. This means we don't need to manually maintain hot and cold data tiers, and we can keep our costs flat when we process more data.”

“Intercom is a fast-growing start up with a $1.275 billion valuation and over $240 million in funding. “Strong customer relationships are more important than ever, but the scale and nature of online business means it’s hard to create personal connections. That’s why we created the world’s first Conversational Relationship Platform - to help businesses build better customer relationships through personalized, messenger-based experiences. To make this work well, and understand our business as it explodes, we rely on an enormous amount of data, 70TB and growing. Our Amazon Redshift cloud data warehouse has made it easy to scale and stay on budget. We’re excited about the new AQUA capabilities in Amazon Redshift which will accelerate our queries and reduce our analysts’ time to insights. We know with AWS we can focus on our growth, without worrying about how technology will support it.”