Migrate your Snowflake Data Warehouse to the Databricks Data Intelligence Platform
Future-proof your data architecture for Generative AI and advanced analytics
Service Overview
Modernizing your Snowflake data warehouse to the Databricks Data Intelligence Platform is not just about switching tools — it's about building an architecture ready for AI-driven innovation. While Snowflake offers strong SQL-based analytics, organizations increasingly use it for workloads beyond its sweet spot — such as complex ETL, machine learning, and real-time data science. This creates performance bottlenecks and architectural constraints.
Databricks provides an open, scalable, and AI-native platform that supports end-to-end data and AI workflows, from ingestion to model deployment — empowering enterprises to eliminate silos and accelerate innovation.
Key Challenges We Address
Key Questions We Answer
Why migrating from Snowflake to Databricks positions organizations for AI-native workloads and long-term scalability
Understand how migrating positions organizations for AI-native workloads and long-term scalability.
What proven migration strategies and automation tools can simplify the transition
Learn about proven migration strategies and automation tools that minimize business disruption.
How to re-platform ELT pipelines, data science workflows, and BI queries on Databricks
Discover how to re-platform existing workflows for optimal performance on Databricks.
Best practices and case studies from enterprises who successfully migrated from Snowflake
Learn from real-world success stories and proven best practices for successful Snowflake to Databricks migration.
Key Features & Capabilities
Our Process
Comprehensive Snowflake environment assessment
AI/ML workload analysis and migration planning
Proof-of-concept migration and validation
ELT pipeline and workflow re-platforming
Full migration with continuous monitoring
Post-migration optimization and AI enablement
Key Benefits
- Generative AI readiness: Unlock advanced AI use cases without being limited by SQL-first architectures
- Unified data and AI: Manage data engineering, analytics, and ML/AI workflows on one platform
- Performance & scale: Avoid bottlenecks by leveraging lakehouse scalability for diverse data types
- Flexibility: Reduce lock-in with open standards and native integrations with leading AI/ML tools
Our Solutions
AI-Native Platform Migration
Build an architecture ready for AI-driven innovation and advanced analytics.
Unified Data and AI Workflows
Eliminate data silos and streamline your entire data lifecycle.
Generative AI Enablement
Unlock advanced AI capabilities without SQL-first limitations.
Ready to Get Started?
Let’s discuss how this service can help you achieve your business goals.
Contact Us