Welcome to the December Propel product updates! 🎄
TL;DR: Need to build analytics? book a demo, and we can get you going!
When your customer dashboards slow down 😪, you may be tempted to ignore them for a bit, but eventually, they become unusable.
This is like having credit card debt — it's the worst kind of debt, and you've painted yourself into a corner. Your customers expect a dashboard that will take significant engineering effort to maintain, and shipping new analytics is out of the question. We can help.
At Propel, we want to make managing and scaling customer-facing analytics as seamless as possible for product dev teams. That's why we recently announced Propellers, which productizes performance management so that you can ship customer-facing analytics that scale in record time and without the tech debt. Read the blog post.
We have also been hard at work expanding our Data Sources. Check out what's new!
🎄Christmas came early at Propel! ☃️
🚀 Propellers: An easy way for developers to select the optimal cost and query speed for each analytics use case. In some use cases, such as the customer-facing analytics in a core product workflow, you might want to prioritize speed over cost. In others, like an internal app, you might want to prioritize cost over speed. Read the blog post.
🆕 AWS S3 Data Source: You can now power customer-facing analytics use cases such as insights dashboards, product usage reporting, or analytics APIs with Parquet files in your S3 bucket with Propel. The AWS S3 Data Source can massively simplify your data architecture as you no longer need to do caching or aggregation to power performant analytics at scale. Read the blog post.
🤩 Google BigQuery preview: We’re delighted to announce that the BigQuery Data Source preview is now available. It makes it simple to connect your BigQuery to Propel to power insights and usage dashboards, analytics APIs, and more for your customers. If you’re interested, read the blog post, reply to this email, or book a demo!
— Tyler Wells, CTO at Propel
Our CTO, Tyler Wells, addresses the endless debate of build vs. buy and challenges the status quo in building customer-facing dashboards and analytics. Worth the read.
— Dave Ganly, Head of Product at Propel
Our Head of Product, Dave Ganly, breaks down what you need to know about the Parquet file format. Specifically, its key role in modern data architectures.
Easy peasy. Book a demo; we'll show you the platform, discuss your use case, and get you going!
Thank you for reading!
Co-founder & CEO