Easily Build Models on top 

of your Data Warehouse

data warehouse integration

Flexible, version-controlled machine learning with data warehouse 

Data Engineering and Science teams are increasingly looking to leverage their Data Warehouse for innovative machine learning (ML) projects such as churn analysis or customer lifetime value projections. However, getting the requisite data out of Snowflake or Redshift, and into data pipelines for experimentation and model training can be challenging.

data warehouse data centric
Data-Centric Processing

Pachyderm’s pipelines leverage automated versioning that drives incremental processing and data deduplication that shorten processing times and reduce storage costs

data warehouse dag
Complex Data Workflows

With Pachyderm you can build complex workflows that can support the most advanced ML applications, which can be visually managed and  monitored with Pachyderm console UI

data warehouse scalable
Scales to the Job

Pachyderm scales to petabytes of data with autoscaling and data-driven parallel processing. Our approach to version control and file processing automates scale while controlling compute costs

data warehouse reproducible
Fully Reproducible 

Pachyderm automatically versions all data and code changes across your data workflow, including intermediate transformations, so you always have full reproducibility and lineage for your ML models

data warehouse agnostic
Language and data agnostic

Use any language or library in your Pachyderm pipelines such as Python, R, Scala, or Bash. If you can get it into a container, then Pachyderm can run it as a pipeline. Easily process both structured and unstructured data

data warehouse sql
Native Integration

Getting data into and out-of your data warehouse is as simple as writing a SQL query. 

Recommended Reading 

Pachyderm & Snowflake

Read our blog about speeding up pipeline development with Pachyderm and Snowflake

Churn Prediction Example

View the churn prediction example on GitHub

Read the Docs

Learn more about this feature from our documentation page

See Pachyderm In Action

Watch a short 5-minute demo which outlines the product in action

Want to see Pachyderm Data Pipelines in action? Book a demo with one of our solution engineers!

Try Pachyderm Today