May 25, 2023 🚀 Product Announcement: Ponder's Now in Public Beta!
Read morePonder helps you seamlessly run your Python data science workflows (Pandas, NumPy) anywhere, bridging the divide between your code and infrastructure.
Get Started for FreeWith Ponder
Without Ponder
With Ponder, you get a fully pandas-native experience that is familiar and fast to prototype, plus the scalability and security benefits that comes with working in a data warehouse.
Tired of crafting long, nightmarish SQL queries? Pandas is more concise, flexible, and convenient than SQL in many cases. With Ponder, you no longer have to pick between Python v.s. SQL. Speed up your development by picking the tool that best suit your use case.
Unleash your pandas workflows on production-scale data. No need to operate on samples or wrangle with out-of-memory issues. Run pandas on 1TB+ of data at interactive latencies. Seamlessly move from prototype to production.
Concerned about security risks when processing data outside of the warehouse? Keep your data where it belongs. Analyze sensitive data and securely operate on your data using pandas and inherit the security guarantees of your warehouse.
Avoid vendor lock-in by writing your code with pandas, the most popular API for data science, and run on whatever infrastructure you need to get the job done. Write pandas once and deploy everywhere.
Ponder lets you run your pandas workflows directly on your warehouse.
Write your workflow in Python once, run in SQL. Zero infrastructure setup required.
Build your Python data workflows in your own IDE.
Ponder automatically translate your queries into SQL.
Ponder-generated SQL runs on your database directly.
$ pip install ponder
Don’t have a data warehouse? No worries! Run Ponder on your machine (backed by DuckDB) and experience pandas optimized for performance and scale. No database setup required!
Start running your Python data science workflows in your database within minutes.
Fill out the form and we'll be in touch as soon as possible!
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