We are a consultancy company of 1,500 people. Those who use a sophisticated data warehouse architecture tailored to the business requirements, profit a lot since this is the foundation of business intelligence which makes a company more resilient and adaptable to change. We try to select the correct service for our customers, and when using AWS, we usually do data warehousing with Redshift.

Amazon Redshift has benefited the company by allowing us to scale. 

We have been using the product for some time. We are exploring and learning from the new offering of the product.

The end users were able to have access to real-time analytics.

The solution has improved the performance of our queries.

We use Redshift as our primary BI data repository. It provides BI for all four of our product lines, which run on Redshift. It is low cost and highly reliable!

I've been working with data warehouses for a long time and it has always been the case that we had to invest quite a bit on infrastructure, upfront. We are used to dealing with Teradata, and the cost of setting up the data center and getting the appropriate licenses was a big deal. Now, we are able to spin up some clusters and then start using it, allowing us to incrementally pay as we expand.

This has become a big shift in how we spend because there is no capital cost upfront. Moreover, this works with startups as well as with enterprise, and they provide an equal footing. This means that even the advanced capabilities and insights that are available with a data warehouse are no longer limited to the larger clients. Even a startup can use these features, immediately.

We were using MySQL & MongoDB for our regular operations, but when we grew, we were forced to handle a huge number of datasets. It could be petabytes of data in and out on a regular basis. We struggled a lot to complete the operations in a timely manner. With Amazon Redshift, we gained a lot in terms of timing, as well as project completion.

Some of the scoring mechanism really works well in the distributed architecture of Amazon Redshift.

At my previous company that does mobile analytics as its core product, we moved all the analytics backend from MongoDB to Redshift. Where I currently work, we use it as our main data lake/data warehouse.

We can get the SLS/SLAs in our daily processes.

It has helped us to understand the response and interest of the customers and the user conversion rate in this competitive world. Thus, it has helped us in the decision-making process.

One of my clients required large amounts of data but had a low budget. Amazon Redshift was the perfect choice for my client. We joined two tables containing billions of rows each and got results back in 27 seconds with a relatively small cluster of nodes.

It helped my customers migrate off on-premise platforms such as Teradata to Redshift, at a fraction of the cost.

Since we have lots of data sources and high volumes, we needed a unified and organized DB that can handle these amounts and will be our single source of truth for the organization. Therefore, Redshift is the best solution.

This has given us the ability to provide metrics to the large number of company staff on their performance without impacting core systems.

Redshift has helped to transform Makerbot into a data-driven company.

Easy to load and reload data.

Redshift has been the data warehouse in at least three of my previous companies. The impact is huge to anyone who uses data in any way.

• Allows for the storage of huge amounts of data. 
• Assists users to perform ad hoc analysis on a lot sources together.