Run your Python data workflows at scale, directly in Snowflake

Run your Python data workflows at scale, directly in Snowflake

Ponder helps you seamlessly run your Python data science workflows (Pandas, NumPy) anywhere, bridging the divide between your code and infrastructure.

Get Started for Free

With Ponder

Without Ponder

Bring your own data warehouse.
Let Ponder take care of the rest for you.

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.

Improved development experience

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.

Work with data at any scale

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.

Security backed by your warehouse

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.

Infrastructure-agnostic

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.

Run the world’s most popular data science library, pandas, as-is on the world’s most popular data infrastructure, data warehouses.

Get Started

How it works?

Ponder lets you run your pandas workflows directly on your warehouse.
Write your workflow in Python once, run in SQL. Zero infrastructure setup required.

Develop

Build your Python data workflows in your own IDE.

Let the magic happen

Ponder automatically translate your queries into SQL.

Execution

Ponder-generated SQL runs on your database directly.

Get Started in 3 easy steps!

1

Sign up here for free

2

Install Ponder

$ pip install ponder

3

Start running your Python data workflows in your warehouse!

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!

RESOURCES

Discover how Ponder supercharges your data workflows

Read more
Ponder lets you run pandas directly in your data warehouse.">
Articles

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.
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Articles

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.
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Articles

Jun 5, 2023

An API-First Approach to Data

We explore why it is important to adopt an infrastructure-agnostic approach when picking data tools and how Ponder gives you the flexibility you need by letting you use your favorite data APIs, like pandas and NumPy, no matter what database your data is stored in
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Articles

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.
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Articles

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.
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Articles

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 data warehouse such as BigQuery this is not […]
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Articles

Mar 20, 2023

Secure and Scalable Healthcare Analytics in Python with Snowflake

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.
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Articles

Feb 23, 2023

Run NumPy on Your Data Warehouse with Ponder!

Ponder now lets you run NumPy in your data warehouse (Snowflake, BigQuery, etc.).

Try Ponder today

Start running your Python data science workflows in your database within minutes.

Get Started

Ready to level up your Pandas game?

Fill out the form and we'll be in touch as soon as possible!