We use the AWS platform for the backend, so we use Amazon Redshift for internal analytics. We used Google BigQuery for internal analytics until we moved to RedShift. It was cheaper for us to use Redshift.
Co-founder & CEO - Rollout.io
We have our own custom platform that pushes data to Amazon Redshift.
Founder & CEO - Justworks
We’ve been using in-house solutions to date, but they’re coming up insufficient when it comes to integrating with our other systems, like email list, mobile list and all of our web and messaging applications. We’re now looking to bring on an out-of-the-box solution, and strongly considering Looker as a visualization tool, on top of a centralized data warehouse like Amazon Redshift.
CEO - DoSomething
Amazon Redshift’s basic service can be applied to almost any analytics tool and can store a staggering amount of data (1.6 PB), making it useful to data-focused startups of all sizes.
Amazon Redshift has multiple pricing plans depending how much data you store, the type of data and the length of your term. On Demand pricing requires no upfront payment and no time commitment, instead charging you per hour for as long as you store your data. These plans can run anywhere from $0.25/hour to $6.80/hour or more, depending on how much data you have and the location of your business. Reserved Instance pricing commits you to a one- or three-year term, and includes either no, partial or full upfront payment. The more you’re willing to pay upfront, and the longer you’re willing to commit, the more you’ll save. For example, a full upfront payment on a three-year term is a quarter of the price of the equivalent On Demand plan.
Visit the website: https://aws.amazon.com/redshift/