Your entire analytics stack, just a few lines of code away
With a code-first approach, you can automate the entire setup process and start running analytics directly on structured data with minimal effort.
With a code-first approach, you can automate the entire setup process and start running analytics directly on structured data with minimal effort.
For the past decade, data lakes have become a standard way for companies to manage massive amounts of data. But they’ve also become a minefield of complexity.
“Make something people want” has long been the mantra of startups. But what happens when humans aren’t the ones making decisions anymore? The analytics tools we’ve built are fundamentally broken for this new world.
If you deploy a containerized app, it behaves the same on your laptop as it does in production. So why can’t our analytics dashboards do the same?
CSV files seem simple. Just plain text, right? But when they get large, they are not great formats for data exploration. CSVs lack indexing, compression, and structured access.
We’re moving away from rigid, one-size-fits-all enterprise solutions and toward a world where individuals can quickly build the exact tools they need. And that means developer tools (especially open-source ones) are more important than ever.