The complete accelerator suite for fast,
trusted, and intelligent data modernization
Bringing you the clarity, rigor, and governance modern data demands.
Accelerating the data journey with intelligent, no-code engineering. NeuFlow fast-tracks data modernization with an enterprise-grade, multi-cloud architecture powered by an Agentic AI conversational action layer.
Tired of fragmented tools and inconsistent data practices slowing down transformation? This brings everything together so your teams can operate with clarity and control.
Key Highlights
NeuFlow Features
Outcomes:
Key Highlights:
- DataBridge Engine: High-performance data migration built on an optimized lakebridge core.
- Auto-Transpilation: Intelligent, automated conversion of legacy stored procedures, views, and ETL scripts from systems like Oracle, Teradata, and SQL Server into optimized, cloud-native code (PySpark or Snowflake Scripting).
- DDL Migration: Seamless schema discovery, automatic legacy data type mapping, and target cloud DDL generation based on modern platform specifications.
- Data Load Control: Full flexibility to manage heavy historical bulk loads alongside Continuous Data Replication (CDR) using pausable, reusable, and resumable loads that track progress in real-time and restart exactly where they left off.
- Migration Visibility: A single pane of glass dashboard to track migration stages for all tables in one place, allowing Legacy SMEs and Cloud Architects to view and compare source and target code side-by-side for seamless team alignment.
Outcomes:
Key Highlights:
- Instant Automated Profiling: Scans the data landscape to instantly assess tables and deliver a visual baseline of current data health, anomalies, and structural drifts before rules are even applied.
- Central DQ Scoring: A unified, system-wide grading system (0–100%) that aggregates quality scores for all pipelines (in motion) and tables (at rest) based on automatically recommended validation rules.
- Issue Triage & Root Cause: An interface-driven workbench that lists low-score tables, isolating invalid records and their root causes.
- AI Remediation & Governance: Intelligent, automated data correction—including the ability to upload master or lookup reference files directly to the chatbot to fix anomalies—backed by strict “Human-in-the-Loop” validation and approval workflows before updating target tables.
- Quarantine Workflows: Invalid records are automatically routed to a dedicated Quarantine Table for review and can be packaged and routed directly to specific business teams or data stewards for rapid cross-functional collaboration.
- No-Code Scheduling: Immediate ad-hoc runs or click-based automated scheduling built right into the user interface.
Outcomes:
Key Highlights:
- No-Code Rule Configuration: Build reconciliation pipelines using natural language, an intuitive point-and-click UI, or by uploading batch configuration templates to manage massive enterprise migrations simultaneously.
- Deep Data Comparison: Flexible, distributed comparison engine that allows you to run high-speed Random Sampling for quick checks or a 100% Full Dataset Comparison across billions of records for strict compliance audits.
- Advanced Reconciliation Metrics: Automated mapping and validation of row counts, uniqueness checks (via primary/composite keys), and source-to-target orphan record identification.
- Schema & Integrity Validation: Detailed schema evaluation (lengths, data types) and foreign key integrity simulation featuring Visual Mismatch Alerts that highlight errors in red for immediate team visibility.
- Audit-Ready Exports: One-click functionality to download detailed reconciliation discrepancies to Excel for final compliance reviews.
Looking to migrate to Databricks? Modernize with NeuFlow for Databricks, the intelligent tool that unifies SQL transformation, pipeline quality, Unity Catalog enrichment, and Delta Sharing into one streamlined Lakehouse-ready workflow.
Security and Governance Across the NeuFlow Suite
NeuFlow is designed with enterprise security at its core, ensuring that all accelerators operate within a controlled, compliant, and fully governed environment.
Platform Security
- JSON Web Tokens (JWT) secure all frontend–backend communication
- Role-Based Access Control with clear user roles (Admin, Operator, Migrator)
- Databricks Service Principals authenticate NeuFlow to the Databricks API
Secrets Management
- Databricks Secrets
Stores credentials required for migration jobs and runtime operations - Application Secrets
Securely retrieves secrets such as MySQL passwords or Databricks tokens from the vault at startup.
Encryption at Rest
- Transparent Data Encryption (TDE) on MySQL
- Databricks Lakehouse encrypted at rest in cloud storage (ADLS Gen2)
- Sensitive metadata encrypted within MySQL
Encryption in Transit
NeuFlow enforces TLS 1.2+ for all communication, including:
- User browser to NeuFlow frontend
- Frontend to NeuFlow API
- API to MySQL metadata store
- API to Databricks workspace
- Databricks jobs writing to target environments