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AI Ready Data. High Performance. Zero Downtime.
That’s the challenge Innova Solutions solves.
We help:
Modernize legacy warehouses and data platforms into the Snowflake Data Cloud
Scale analytics, AI/ML, and data sharing with performance and built-in governance
Maintain operational continuity across mission critical, real time data environments
Our Offerings
Migration Assessment
Migration Strategy.
We assess your current data landscape, AI use cases, performance needs, and cost goals to deliver a clear,
business-aligned
Snowflake roadmap.
Legacy to Snowflake Migration
Transition from legacy and
on-prem platforms to Snowflake with optimized architecture, preserved business logic, and enhanced scalability.
Cloud to Snowflake Migration
Re-architect existing cloud workloads for Snowflake-native performance, scalability, and cost efficiency—beyond lift-and-shift.
Data Pipeline Migration
Migrate ETL and stream pipelines across tools and environments while ensuring operational continuity and zero
business impact.
Our Migration Approach
Assess
Current state evaluation
Data profiling and analysis
Risk assessment Technology
Landscape assessment
Unlock current data landscape: Tools for better coverage than manual analysis
Plan
Vision & objectives
Prioritized data and workloads
Timeline development
Risk assessment and mitigation
Communication plan
Migrate smarter:
Tap into vault of project best practices and lessons learnt
Migrate
Schema mapping and transformation
Historical and incremental data load
ETL code migration
DB objects migration
Empowered migration: Automation for
risk-free accelerated execution
Validate
Data validation
Unit and integrated testing
User training and adoption
Production parallel run and cutover
Accelerated adoption: Swift and thorough validation for success
Roadmap
Build on Snowflake roadmap
AI/ML platform
Advanced analytics
Self-serve analytics
Data monetization
Future-proof
architecture: Platform built for tomorrow’s business use cases
Our Snowflake Migration Accelerators
AI-Driven Where It Works, Custom-Built on Demand
The Challenge
Legacy migration often means lost or incompatible SQL logic leading to one of the scenarios below:
- Original SQL queries from legacy system are unavailable
- Existing SQL queries must be converted for Snowflake compatibility
Most teams end up reverse-engineering datasets to rediscover business logic and rewrite queries from scratch—slowing migration and increasing risk.
How IDTSM (Innova Database Table Structure Migration) Works
IDTSM automates SQL reconstruction and conversion to Snowflake.
- Crawls through metadata tables in source database to understand table structures
- Rebuilds logic and generates Snowflake-optimized SQL
Business Impact
- ~80% reduction in SQL recreation time compared to manual effort
- Elimination of QA effort for generated queries
- Acceleration of migration timelines
- Reduction in the risk of human error
- Enablement of teams to focus on modernization initiatives
The Challenge
Data integrity is the biggest risk every migration leader encounters.
- When large datasets move to Snowflake, mismatches between source and target systems disrupt reporting and operations.
- Most teams rely on manual Excel comparisons which are slow, error-prone, and not scalable.
How DRAC Works
DRAC automates end-to-end data validation between source and Snowflake database.
- Validates data consistency across source and target systems
- Available in three variants to support different data scales:
- Excel-based comparison for master tables and data sets with <10K records
- Chunk-based comparison (1–10M records per batch) for volumes up to 100M rows
- Two-step process wherein the data is compared at a hash code level and then compared at a granular level
Business Impact
- Standardization and automation of data integrity validation
- Elimination of manual reconciliation efforts
- Comparison of billions of records in hours
- Reduction of downstream reporting and operational risk
The Challenge
- Legacy stored procedures, SAS reports, and Power BI scripts must be rewritten for Snowflake
- Manual conversion and QA can stretch to months
- Migration timelines slow down due to rework
How iDSPM (Innova Database Subprograms Migration) Works
- Reads source files and auto converts them into Snowflake-compatible formats
- Transforms legacy stored procedures into Snowflake stored procedures
- Converts reports and scripts to enable Snowflake compatibility
Business Impact
- ~60% reduction in conversion time
- Minimization of reporting errors
- Acceleration of migration timelines
- Reduction of rework and manual effort
The Challenge
- Excessive data movements between Snowflake layers
- Need to maintain higher number of ETL jobs to manage data movement between layers
- High maintenance overhead and operational complexity
How iSFDM (Innova Snowflake Data Movement Between Layers Within App) Works
- Configuration-driven framework for data movement across Snowflake layers
- High configurability and customizability to meet evolving needs
- Streamlined and controlled data transformation enablement
Business Impact
- Consolidates data transformations into a small set of reusable scripts
- Reduces ETL maintenance effort
- Enables faster change management
- Simplifies data operations within Snowflake
The Challenge
- Need to load large volumes of historical data before current load begins
- Archived data must be accessible for compliance
- Traditional ETL pipelines lack control and structured chunk-wise processing
- Validation and data integrity checks become complex and time-consuming
How iDHDM (Innova Database Historical Data Migration) Works
- Automates loading historical and static data from source/legacy to Snowflake
- Extracts and processes data in optimally sized files and loaded into Snowflake
- Enables controlled, high-speed ingestion
- Supports flexible storage options:
- Load directly into Snowflake
- Maintain as external tables in S3 or ADLS
- Store in Iceberg format as external tables
Business Impact
- Loads 1TB+ per day at scale
- Accelerates historical data onboarding
- Enables faster validation of data
- Ensures data integrity and compliance-ready archival storage
- Reduces ETL complexity and operational risk
The Challenge
- Migration of multiple workflows from the current database to Snowflake
- Dependence on multiple ETL tools across environments
- Slow and complex conversion of ETL tools from on-premises to
cloud-based versions - Vendor lock-in caused by legacy tool upgrades
- Limited interoperability with modern cloud technologies
How iDSICM/PWC to IDMC Works
- Analyzes ETL mappings and extracts underlying SQL and transformation logic
- Converts simpler workflows into Snowflake stored procedures or Glue scripts
- Retains highly complex workflows as-is or converts them based on client preference
- Accelerates ETL tool upgrades and migrations
- Enables transition to open-source or cloud-native technologies
Business Impact
- Acceleration of migration timelines by up to 50%
- Reduction of tool dependency and vendor lock-in
- Improvement in Snowflake performance
- Optimization of total cost of ownership
- Increased cloud interoperability and modernization readiness
The Challenge
- Absence of pre-built, domain-specific data models
- Requirement for schemas to support high-performance AI and analytics workloads
- Enforcement of strict regulatory and compliance requirements
- Need for 3–5 months of business analysis to design accurate models
- Delays in platform build and time-to-value
How Ground-Up Migration Accelerator Works
Ground-up Migration Accelerator is a consulting-led offering to design and deploy your Snowflake data platform—faster and smarter.
It provides:
- Pre-built, domain-specific data schemas customized to use cases
- Use case-aligned, high-performance Snowflake-native architecture
- Compliance-ready designs built for regulated environments
- Custom extensions for niche and evolving business needs
- Data models aligned to AI, analytics, and operational workloads
- Blueprint-to-build execution—precise, scalable, and production-ready from day 1
Business Impact
- Helps accelerate timelines by up to 50%, enabling organizations to utilize AI capabilities offered by Snowflake and partner technologies
- Improves the speed of data utilization and product building
Beyond Data Migration
At Innova Solutions, we go beyond moving data. We modernize data models, pipelines, and governance to unlock real-time insights, advanced analytics, AI, and secure data sharing.
Snowflake migration is the foundation, not the finish line.
The Innova Edge
Applications
Modernized
Database
Migrations
%
Cost Savings by Leveraging Accelerators & Frameworks
%
Time-to-Market
Success Stories
Modernizing Enterprise Data Warehouse for Smarter & Faster Healthcare Insights for a Leading Value-Based Caregiver
Implementing Data Lakehouse for a Leading Biotech Major for Faster, Deeper Insights
Reducing Legacy Data Costs While Migrating 12,000+ Tables to a Cloud-Native Platform
Ready to Innovate with Us?