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 |
Support | Yes |
Feature Definitions | Declarative framework for defining features (incl. transformations and materialization) |
Automated Transforms | Automated pipeline orchestration |
Feature Ingestion | Spark (for batch feature ingestion) |
Storage and Feature Processing Infrastructure | For online - Redis |
Feature Sharing and Discovery | Web UI |
Training Dataset Generation | Dataset generated from offline storage using Python SDK |
Online Serving | Serving endpoint / API for online data |
Monitoring and Alerting | Data quality monitoring |
Security and Data Governance | Data remains in end-user's cloud account |
Integrations | S3, GCS, Snowflake, JDBC, Redshift, ElasticSearch, Mongodb, Vertica, BigQuery, Kafka, Kinesis |
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Vendor |
Demo link |
History |
Stand-alone vs. Platform |
Delivery Model |
Clouds Supported |
Pricing Model |
Service Level Guarantees |
Support |
Feature Definitions |
Automated Transforms |
Feature Ingestion |
Storage and Feature Processing Infrastructure |
Feature Sharing and Discovery |
Training Dataset Generation |
Online Serving |
Monitoring and Alerting |
Security and Data Governance |
Integrations |