Intelligent Iceberg Management

The only solution that automatically maintains and optimizes your Iceberg tables based on usage, while keeping your lakehouse fully GDPR-compliant, resilient and secure

See Ryft in Action
Fully Managed & Automated

Fully Managed & Automated

Smart scheduling and resource-aware compaction keep every table optimized — no manual jobs or upkeep.

Built-In Compliance & Retention

Built-In Compliance & Retention

Automatic compliance cleanup and lifecycle policies ensure that your lake is always compliant with efficient personal data deletions and retention.

Optimized Storage. Cheaper Compute.

Optimized Storage. Cheaper Compute.

Ryft adapts to how your data is used, optimizing each table based on actual query and ingestion behavior.

Fully Automated Table Management & Compaction

Achieve best in class table performance and storage optimization

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Usage Based Optimization illustration

Usage Based Optimization

Ryft optimizes each table based on data characteristics, workload type and query patterns, with zero manual overhead

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Workload Aware Maintenance

Ryft adapts maintenance and compaction based on workload type and ingestion rates, ensuring each table stays in top shape

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No Errors. No Conflicts. No Stress.

Ryft reduces commit conflicts by 99%, ensuring pipelines are reliable and compaction keeps running

Our customers get the most of their Iceberg lakehouse

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45%

Lower lakehouse TCO

within 30 days

100s

Engineering hours saved

Zero manual management
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3.5X

Faster Queries

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45%

Lower lakehouse TCO

within 30 days

100s

Engineering hours saved

Zero Manual Management
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3.5X

Faster Queries

Built for the Chaos of ML & Gen AI Workloads

We’ve built Ryft specifically to support unpredictable AI & ML workloads with thousands of columns, to allow for fast and reliable data access for agents and ML models.

A Single, trustworthy copy of data

A single, trustworthy copy of data

Create a single, unified data lake, with the right governance that lets any team easily access the data they need

Adapts to unpredictable AI access patterns

Adapts to unpredictable AI access patterns

Ryft constantly learns your access patterns, and adapts table maintenance and data layout for peak performance and cost

Use any engine without constraints

Use any engine without constraints

Ryft analyses usage from any engine - giving your teams the ability to access data with the right tools

Your Iceberg lake, secure, compliant & resilient

From automated compliance to disaster recovery, Ryft keeps your data secure, recoverable, and cost-efficient, without added complexity.

Retention and Tiering Made Easy

Ryft lets you configure retention and tiering policies, so your storage stays cost-efficient and your data stays compliant.

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Automated Compliance Enforcement

Ryft ensures your tables are fully GDPR and CCPA compliant by deleting personal data from all places - soft deletes, snapshots, backups and orphan files.

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Backups and Disaster Recovery Built-In

Ryft lets you set up backups and disaster recovery policies, so you can easily restore and roll back tables to prevent data loss or accidental deletions.

How Ryft Fits Into Your Stack

Ryft connects to your lakehouse in minutes, then continuously learns and optimizes every table based on how your data is used.

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One-Click Integration

Connect Ryft to your catalog, query engines, and storage — no migration, rewrites, or engineering lift.

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A Complete Data Management Platform

Based on usage, Ryft auto-tunes compaction, retention, cleanup, and performance — adapting to your actual workloads in real time.

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End to End Visibility

Ryft monitors how each Iceberg table is used across your engines, tracking ingestion rates, query behavior, and schema changes.

From 1 Table to 10,000s

Ryft supports every table, workload, and engine, so your lakehouse grows without limits

Support for any scale

From MBs to PBs, from 1 to 10,000+ tables

Adapts to any workload

Ryft supports batch, streaming, deletes-heavy, wide-tables and more

Support and adapt to any workloadSupport and adapt to any workload
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Batch Processing
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Streaming
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CDC
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High Throughput
1000s of tables
1000s of tables
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Multiple query engines

We plug into your existing tools

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Microsoft Azure
Apache Spark
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