Snowflake vs. Databricks

## About the Session

Selecting between Snowflake and Databricks is no longer just a technical comparison - it’s a strategic enterprise decision that impacts governance, AI readiness, cost structure, and long-term platform scalability.

This 1-hour executive-focused meetup is designed to provide a clear, unbiased comparison of both platforms - helping decision-makers move beyond marketing narratives and toward informed, enterprise-ready choices.

Rather than positioning one as “better,” we will break down where each platform excels, where trade-offs exist, and how to evaluate them in the context of your organization’s goals.

Title: Snowflake vs. Databricks - Architectural Trade-offs, Governance, Cost, and Enterprise Decision Criteria
Date & Time: March 19, 2026 | 05:00 PM - 06:00 PM IST
Location: Online | Register Now

What We Will Explore
Architectural Foundations

• Snowflake’s cloud-native data warehouse model
• Databricks’ lakehouse architecture

Governance & Enterprise Controls

• Cataloging and metadata management
• Access control models
• Compliance readiness and security architecture

Pricing & Total Cost of Ownership

• Pricing models and consumption patterns
• Workload isolation strategies
• Hidden cost drivers

Performance & Workload Fit

• BI & analytics workloads
• Data engineering pipelines
• Streaming use cases

Enterprise Decision Framework

• Aligning platform choice with business strategy
• Team skillset considerations
• AI and future-readiness alignment

We will also address common enterprise pitfalls - such as selecting a platform based solely on pricing perception, optimizing for a single use case, or relying heavily on vendor positioning -ensuring your decision is strategic and future-proof.

Who Should Attend

• Chief Data Officers & Data Leaders
• Heads of Engineering, Data, and AI
• Enterprise & Cloud Architects
• Data Engineering & Analytics Leaders
• AI/ML Leaders building scalable production systems
• Technology Decision-Makers evaluating migration, consolidation, or expansion

If you are planning a new data platform initiative, modernizing your data stack, or evaluating long-term AI readiness, this session will provide the clarity and practical guidance you need.
Speaker
Nick Akincilar – AI & Data Strategist
Nick brings deep experience in modern data platform architecture and enterprise transformation initiatives. He has worked closely with organizations evaluating and implementing both Snowflake and Databricks environments, helping them balance innovation, governance, performance, and cost efficiency.

Don’t Miss Out
Make your next platform decision with confidence - not assumptions.

Register Now to secure your spot. This session is completely FREE.

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