📣 Introducing Ponder: Run pandas on 1TB+ DIRECTLY in your data warehouse
https://lnkd.in/g6mchNgg
How it started?
🐼 We all love pandas, but its number one challenge is that it simply doesn’t scale to large datasets. That’s why we built #Modin, a scalable version of pandas that looks and feels exactly like pandas. Modin has 5M+ OSS downloads and is based on years of research at UC Berkeley.
What’s new?
With Ponder, we are taking Modin to the next level by letting you run Pandas DIRECTLY in your data warehouse. No need to write SQL. Unleash data science at scale in Snowflake ❄️, BigQuery 🔍, or your favorite database of choice.
⚡ We’ve proven this capability on workloads of terabytes of data with interactive latencies. All without data leaving your warehouse — so no additional infra setup required! Secure access that scales with your warehouse.
🔗 For the first time in history, we’re truly bridging the worlds of data science and data warehouses, by supporting the most popular data science library — pandas — on the most popular data infrastructure — databases. This is no easy feat: unlike pandas, SQL has a limited API and strict schema requirements, making it difficult to do even basic operations to clean and transform data like one-hot encoding or transpose. Now with Ponder, you no longer have to pick between flexibility 🤸 and scale 🏋️.
Ready to scale up your data science workflows? We’re here to help! ✋ Sign up here to try Ponder today:
https://ponder.io/product/
#python #datascience #AI #database
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