Ryft is the Intelligent Iceberg Management Platform. It automatically maintains and optimizes your Iceberg tables based on usage, while keeping your lakehouse fully GDPR-compliant, resilient and secure.
Ryft is designed for data engineers and data platform leaders operating large-scale Iceberg environments who want to reduce operational overhead, improve query performance, and keep their lakehouse reliable and compliant over time.
Ryft is built on a control plane / data plane model: orchestration and metadata live in the control plane, while all data processing runs in the data plane.
The data plane can be managed by Ryft (Managed) or deployed in your environment (BYOC).
For more details, see System Architecture.
Do I have to use a specific catalog or query engine?
No. Ryft works with any Iceberg catalog, object storage, and query engine you use. If an integration is missing, contact Ryft Support at support@ryft.io.
Ryft updates in near real time based on the latest data from your data sources. This means that you can always see the most up-to-date information and insights.
Yes. In addition to automatic optimization, Ryft supports custom optimization settings that enable greater control of the maintenance and optimization procedures.
For more information, check out Optimization Policies.
Ryft is built to handle large-scale, high-throughput environments, supporting petabytes of data and hundreds of thousands of tables. Its distributed architecture enables efficient processing and optimization across large datasets.
Ryft adheres to industry standards and best practices for security: encryption at rest and in transit, role-based access control, audit logging, and regular security assessments.
