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.

Try it for freeSee Our Plans

Time travel with Kaskada

With Kaskada, you can choose to calculate all feature values at any point in time you choose. Or you can calculate the feature values for each entity at the time an event occurred. For instance, calculate all features at the exact time a user made a large purchase, or at the time of a fraudulent transaction, or when a customer churned out.

Use these point-in-time and event-driven feature values to train time-based models without risk of leakage. When you're ready, you can export features with a time of "now" to make new predictions using a live model in production.

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

Free

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

Free. Paid features available (*)

Set up

Simple web-based user and data config

Fully managed

Data

Bring your own data (batch)

Connect directly to common data sources*

Up to 250GB of data storage* (15GB free)

Collaboration

Team commit & version history

Up to 3 users free, then pay per seat*

Shared feature store*

Production

Manual download to CSV

Production API for batch exports*

Try it for free
Pricing for Kaskada's Enterprise Plan
Features List

Enterprise

Contact for pricing

Set up

Dedicated deployment

Managed or your cloud

Data

Custom data connectors

Connect directly to streaming data sources

PII control / oversight

Collaboration

Custom roles and permissions

Team level isolation

Production

Production API for real-time data

Monitoring & alerting

Pricing for Kaskada
Features List

Community

Free

Data Science

Free. Paid features available (*)

Enterprise

Contact for pricing

Set up

Fully set up - just log in!

Simple web-based user and data config

Fully managed

Dedicated deployment

Managed or your cloud

Data

Curated public datasets

Sample projects

Bring your own data (batch)

Connect directly to common data sources*

Up to 250GB of data storage* (15GB free)

Custom data connectors

Connect directly to streaming data sources

PII control / oversight

Collaboration

Individual commit & version history

Team commit & version history

Up to 3 users free, then pay per seat*

Shared feature store*

Custom roles and permissions

Team level isolation

Production

Training exports only

Manual download to CSV

Production API for batch exports*

Production API for real-time data

Monitoring & alerting

Try it for free

FAQs

How do I sign up?
Choose the edition that works best for you. For Community Edition and Data Science Edition, fill out the signup form and read and agree to the terms of service.Your application will be reviewed and approved within 2 business days. For Enterprise edition, fill out the contact form and we will reach out to set up a call with you.
What happens after I sign up?
Once your application is approved, you will need to schedule an onboarding session with Max Boyd, Kaskada’s Data Science Lead. Once your onboarding session is complete, you’ll receive an email to set your account password and can then log into Kaskada and begin to use the product!
What if I want to cancel?
If you're on a paid tier of Kaskada, you can cancel at anytime.Just send us a note in the chat widget or reach out via email, and our team can help.There is no charge to be part of the Community or the free tier of the Data Science Edition.Enterprise edition customers should reach out to their Account Manager to inquire about your contract subscription period.

Join the Community!