Designing features is an art. Deploying features is a pain.

Empowering data scientists to own the entire feature engineering lifecycle — from raw data to production.

See Our Plans

Feature engineering & machine learning success

High quality features are the single most important factor in a machine learning project’s success. Yet most data teams lack common tools and processes to create and deliver high quality features quickly and consistently.

Kaskada provides a unified platform for feature engineering, including a collaborative interface for data scientists and powerful data infrastructure to compute and serve features in production environments.

How It Works

Connect to Data

Ongoing access to all the data needed for feature creation

  • Ingest historical data from data warehouses and data lakes
  • Explore data and define relationships between event-based data sources
  • Connect directly to streaming data sources, like Apache Kafka and Amazon Kinesis (Enterprise only)

Design and Visualize Features

Create features using a simple, interactive interface

  • Write impactful features using precise, point-in-time historical feature values
  • Visualize feature distributions across time in interactive charts
  • Commit your work and collaborate with others

Select and Export Features

Discover and share features to train models

  • Compare feature values visually to find meaningful patterns
  • Normalize and encode features values with a few clicks
  • Choose features to export for training, using feature values across time
  • Share features with your entire team in the feature store.

Deploy to Production

Deliver features directly to customer-facing applications

  • Set up recurring batch calculations of all feature vectors to use in production
  • Update the feature versions used in production in minutes
  • Call the feature store API to receive real-time feature values

Kaskada Plans

Kaskada offers three plans for individuals, data science teams, and organizations to streamline feature engineering. Choose to learn and evaluate using public data with the Community edition, to collaborate and increase your impact using your own data with Data Science edition, and to power dedicated, production-ready infrastructure with real-time data in the Enterprise edition.

Pricing for Kaskada's Community Plan
Features List

Community

Set up

Fully set up - just log in!

Data

Curated public datasets

Sample projects

Collaboration

Individual commit & version history

Production

Training exports only

Pricing for Kaskada's Data Science Plan
Features List

Data Science

Set up

Simple user and data config (web-based)

Fully managed

Data

Bring your own data (batch)

Collaboration

Team commit & version history

Feature Store

Production

Periodic batch updates

Pricing for Kaskada's Enterprise Plan
Features List

Enterprise

Set up

Dedicated deployment

Managed or your cloud

Data

Connect directly to data (static + streaming)

PII control / oversight

Collaboration

Granular permissions

Team level isolation

Production

Real-time data API

Monitoring & alerting

Pricing for Kaskada
Features List

Community

Data Science

Enterprise

Set up

Fully set up - just log in!

Simple user and data config (web-based)

Fully managed

Dedicated deployment

Managed or your cloud

Data

Curated public datasets

Sample projects

Bring your own data (batch)

Connect directly to data (static + streaming)

PII control / oversight

Collaboration

Individual commit & version history

Team commit & version history

Feature Store

Granular permissions

Team level isolation

Production

Training exports only

Periodic batch updates

Real-time data API

Monitoring & alerting

FAQs

How do I sign up?
Simply fill out the form and you’re in!
What happens after I sign up?
Once you fill out the form, you will be redirected to your account.
What if I want to cancel?
You can cancel at anytime.

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