May 25, 2023

Ponder in Public Beta: Data Science in Your Data Warehouse

Ponder lets you run your Python data workflows (pandas, NumPy) directly in your data warehouse or database, and as of today, anyone can try Ponder for free. Get started in less than 5 minutes....


Jan 23, 2023

Introducing Ponder: Run Pandas on 1TB+ Directly in Your Data Warehouse

Ponder lets you run pandas directly in your data warehouse, be it Snowflake, BigQuery, or Redshift. With Ponder, you get the same pandas-native experience that you love, but with the power and scalability of cloud-native data warehouses....


May 26, 2023

Scalable Pandas Meetup No. 11: Pandas for Your Database With Matt Harrison

Matt Harrison (Python expert, author of "Effective Pandas," and Ponder Advisor) will present a pandas demo for finance using Ponder....


May 3, 2023

Scalable Data Science with Ponder on DuckDB

Announcing Ponder on DuckDB! Ponder lets you run your data science workflows directly in your database. Now, with Ponder, you can speed up your pandas code by using our pandas API for DuckDB....


Apr 18, 2023

Ponder at PyCon 2023

Ponder's coming to PyCon 2023 as part of Startup Row! Make sure to stop by, chat with Modin creator Devin Petersohn, and test out our tool!...


Apr 11, 2023

Compilation of Hot Takes on Enterprise Pandas

Over the past few weeks, we shared a series of “hot takes” on enterprise pandas and how Ponder helps address some of these challenges. The post below is a compilation of our 12-day series on this topic. What is Ponder? Ponder lets you run pandas directly in your data warehouse. Data team...


Mar 31, 2023

Build Scalable Data Pipelines with BigQuery, Prefect, and Ponder

Ponder lets you run pandas code directly in your data warehouse, and Prefect is one of the most popular data workflow orchestration tools. By combining Ponder and Prefect, data teams can simplify their data stack and accelerate their time to production....


Mar 27, 2023

Visualizing Data in BigQuery Using Ponder

Data visualization is a key component of exploratory data analysis that is useful for data cleaning, identifying outliers and feature relationships, and so on. Interactive Python libraries like Matplotlib or Seaborn allow data scientists to draw fast insights, but when the data is stored in a cloud ...


Mar 20, 2023

Healthcare Analytics in Python Using Ponder

A real-world healthcare analytics scenario of how to use Python and Ponder to analyze electronic health records directly in your data warehouse by writing pandas code....


Mar 18, 2023

Scalable Pandas Meetup No. 10: Spotify with Modin and Ray

Ziwei Ye (Machine Learning Engineer at Spotify) will give a brief presentation on how Spotify uses Modin and Ray to scale its pandas workflows....

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