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Databricks Partner Integration
Generate privacy-safe synthetic data - without your data leaving Databricks
Rockfish runs natively inside your Databricks environment, so you can create high-fidelity, privacy-compliant synthetic data for AI/ML and analytics. No exports, no data transfers, no new silos.
Already on Databricks? Find us in the Partner Directory → Search “Rockfish Data”.
Built on Carnegie Mellon research
SOC 2 compliant
Privacy-preserving by design
Enterprise data is locked in silos and often too sparse or too sensitive to use. AI and analytics projects stall - not for lack of models, but for lack of usable data.
How it works inside Databricks
Onboard once. Train continuously. Generate as needed.
1
Connect once
Point Rockfish at your Databricks tables. Your data stays in your environment the entire time.
2
Train continuously
Rockfish learns your data's statistical patterns with deep generative models - and keeps the model current as data changes.
3
Generate on demand
Produce outcome-centric synthetic data tuned to your target AI/ML or analytics goal, with privacy controls you configure.
See Rockfish run inside Databricks
A short walkthrough of generating synthetic data from your own tables.
Why teams choose Rockfish
Native to Databricks
Generate synthetic data directly in your environment - no complex transfers or integrations.
Outcome-centric
Data tuned to your actual AI/ML and analytics goals - not just statistically "close."
Privacy you control
Configurable privacy settings for every data-sharing scenario.
Train once, generate forever
Onboard a single time, keep training continuously, and generate whenever you need.
Enterprise-ready
Purpose-built, cost-effective, and scalable for production workloads.
Secure by default
SOC 2 compliant and enterprise-secure, end to end.
What you can build
Test & train ML models
Augment sparse or imbalanced datasets so models train on richer, more representative data.
ML Evaluation →Stress-test AI agents
Generate edge cases and rare scenarios to evaluate agent behavior before production.
Agent Evaluation →Share data safely
Give teams and partners realistic data without exposing sensitive records.
Learn more →
Ready to unlock your Databricks data?
Start generating privacy-safe synthetic data in your own environment - or talk to our team about your use case.
Already on Databricks? Find us in the Partner Directory → Search “Rockfish Data”.