Qwak Feature Store

Commercial Information

Vendor Name	Qwak Feature Store
History	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	AWS
Pricing Model	Consumption Pricing
Service Level Guarantees	Uptime Serving latencies
Support	Yes

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 ACL SSO Data encryption at rest and in flight
Integrations	S3, GCS, Snowflake, JDBC, Redshift, ElasticSearch, Mongodb, Vertica, BigQuery, Kafka, Kinesis

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