Qwak Feature Store

Commercial Information

Vendor Name

Qwak Feature Store


The Qwak feature store was designed & built following the founder's experiences while leading the ML & data groups at AWS, Wix, and Payoneer.

Stand-alone vs. Platform

Part of a broader platform

Delivery Model

Fully-Managed Cloud Service

Clouds Supported


Pricing Model

Consumption Pricing

Service Level Guarantees

Serving latencies



Feature Store Capabilities

Feature Definitions

Declarative framework for defining features (incl. transformations and materialization)
Feature definitions are backed in git
Feature definitions are managed in central repo

Automated Transforms

Automated pipeline orchestration
Managed Batch, Streaming and Real-Time Transformations
Automated backfill of historical data
Pipeline visualization

Feature Ingestion

Spark (for batch feature ingestion)
Pandas (for batch feature ingestion)
SQL (for batch ingestion)
Spark Streaming (for streaming feature ingestion)

Storage and Feature Processing Infrastructure

For online - Redis
For offline - S3
For feature processing - Spark

Feature Sharing and Discovery

Web UI
Searchable feature catalog with metadata
Feature discovery including transformations, data lineage, and values

Training Dataset Generation

Dataset generated from offline storage using Python SDK
Row-level time travel

Online Serving

Serving endpoint / API for online data

Monitoring and Alerting

Data quality monitoring
Monitoring of serving latencies and uptime

Security and Data Governance

Data remains in end-user's cloud account
Data encryption at rest and in flight


S3, GCS, Snowflake, JDBC, Redshift, ElasticSearch, Mongodb, Vertica, BigQuery, Kafka, Kinesis


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