Federated
Intelligence

Hybrid AI Layer for Databricks Workflows.
Secure. Compliant. Built for Scale.

Not all data belongs in the cloud — but it still belongs in Databricks.

Data sovereignty, regulatory boundaries, and latency mean critical datasets must stay on-prem or in sovereign regions. Scalytics extends Databricks with federated processing to on-premise and protected data so you can run real-time features and models where data lives, while keeping governance centralized in Databricks (Unity Catalog).

Sovereignty & Residency Walls

Not all data can move to the cloud. Regulatory, latency, and security limits keep critical datasets on-prem or in sovereign zones. Federation beats replication — insights without risky copies or compliance gaps.

Hybrid Is the new Default

Modern enterprises run across edge, on-prem, and multi-cloud environments. Centralizing every workload delays value, increases cost, and introduces risk. Scalytics extends Databricks to where the data actually lives.

Governance Drift

Too many systems, inconsistent controls. Unity Catalog helps organize metadata, but governed execution must happen near the data. Scalytics enforces consistent policy and lineage across distributed environments.

Latency Kills Decisions

Real-time decisions need in-flight features, not delayed batches. For streaming and operational AI, Scalytics processes data at the edge and feeds insights instantly into Databricks for unified analysis.

But We Are:
Scalytics + Databricks

Use all your data in the most secure way.

Federated Data Processing

Run transformations, feature engineering, and private inference in place (on-prem/edge/sovereign), stream results and lineage back to Databricks. Unity Catalog remains your source of truth.

Hybrid, Real-Time Architectures

Edge-to-cloud pipelines that generate features and signals in milliseconds, without creating unmanaged data copies. (Useful where Databricks is cloud-native and workloads must stay local.)

Scalytics No Data Warehouse Streaming Intelligence

Governance Aligned

Tag, track, and audit features and models; preserve lineage and access controls so federated nodes respect central policy.

Sovereign-Ready & Compliant

Satisfy residency and regulatory mandates while still powering Databricks analytics and AI.

We don’t replace your Data Lake or Data Warehouse. We add a federated data intelligence layer that: processes data in-situ, computes features in-flight, serves private/federated inference with Scalytics Copilot, and writes safe, auditable decisions back into your Databricks workflows.

Talk to an Engineer →

Battle-Tested Architecture

On-Prem & Edge Sources → Scalytics Federated → Databricks (Unity Catalog, Workflows, Notebooks)

Execute locally:
Transform, feature-ize, infer near the data.
Return what’s allowed:
Push features, metadata, and model outputs into Databricks for analytics/ML—no raw sensitive data leaves restricted zones.
Govern once:
Central policies in Unity Catalog; local execution enforces them.

Deployment Options for Scalytics Federated: Your private cloud, on-premises, or hybrid. You own the models, the data, and the intelligence.

Databricks - Scalytics Federated Intelligence

🏢

On-Premise

⚡

Edge Computing

🔒

Sovereign Cloud

🧠

Local Inference

Federated Processing Nodes

Federated & Compliant

Scalytics Copilot

Unity Catalog Sync

Delta Federation

Sovereign Inference

No Data Warehouse • Streaming Intelligence • Governance Aligned

Unity Catalog

Delta Lake

MLflow

Apache Spark

Workflows

SQL Analytics

Model Serving

Feature Store

Security

Databricks Lakehouse Platform

Book your demo →

The Scalytics Model: Strategy Before Technology

Most data and AI projects fail because they start with tools, not architecture. Consultants write reports but never deploy. Vendors code but don’t understand operational constraints. We do both: map your data logic first, align with governance and compliance, then build, measure, and scale with you. No handoffs. No surprises.



Regulated Data in AI Pipelines

Keep sensitive and operational data in sovereign locations. Stream compliant features and signals into Databricks for model training, monitoring, and evaluation—no replication, no compliance risk.



Low-Latency Feature Serving

Generate and serve real-time features directly at the edge. Databricks consumes consistent data without duplication, ensuring synchronized batch and streaming pipelines across all environments.



Cross-Region Data Processing

Unify insights across distributed regions using federated results in Delta-friendly formats. Full visibility in Unity Catalog with governance and lineage built directly into execution.

Proven High-ROI Use Cases

Scalytics Federated Intelligence for Databricks brings secure, compliant, and high-performance data processing to hybrid and regulated environments — extending the Lakehouse where data can’t move.



Federated Feature Engineering

Build and serve ML features across on-prem, private, and sovereign data without moving raw datasets. Scalytics integrates with Databricks to stream compliant features in real time for training and monitoring.

Impact: Faster feature delivery, no replication risk, and consistent compliance across data domains.



Real-Time Model Inference

Execute inference directly where data is generated — at the edge, in sovereign clouds, enterprise datacenters and hybrid— while syncing results and lineage back to Databricks for unified visibility.

Impact: Lower latency, reduced network overhead, and consistent performance across hybrid architectures.



Cross-Cloud Analytics & Governance

Unify on-prem, cloud, and regulated environments into governed Delta-friendly layers with Unity Catalog integration. Scalytics federates results seamlessly without duplicating raw information.

Impact: End-to-end transparency, consistent governance, and faster collaboration across distributed teams.

Why Companies Choose Us

Deep Data + AI Expertise

We’ve built and deployed federated AI for critical industries. We bridge Databricks, Confluent, and enterprise data systems to build real-time operations.

Strategy + Implementation

We don’t just define blueprints. We integrate Scalytics with your Databricks environment, deploy pilots fast, and scale proven ROI-driven workloads.

Measured ROI + Excellence

Every project defines KPIs from day one — latency reduction, compliance alignment, or cost optimization. Measured outcomes, not slideware. That's our DNA.

Start with a Federated Strategy for Databricks

4–6 week deep dive: hybrid data assessment, streaming architecture design, and ROI modeling. Includes a full readiness review and a step-by-step roadmap for secure Databricks integration and measurable impact.

Thank you! Our team will get in touch soon.

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FederatedIntelligence

Hybrid AI Layer for Databricks Workflows. Secure. Compliant. Built for Scale.