Data Breakfast – The Case for One Data Platform, Not Three

Join us for a 90-minute breakfast session designed for data leaders who want to explore the evolution of data platforms. 🥐☕

Overview

Many data organizations operate with multiple databases, leading to complex systems and significant data movement. This session will challenge the conventional wisdom that such complexity is necessary, highlighting how advancements in technology and economics have changed the landscape. 🌐💡

What You'll See

• A live demo of a single open-source platform that manages transactional, analytical, and AI workloads on the same dataset.
• No data duplication.
• No ETL pipelines.
• Strict ACID consistency across the entire platform.
• Built entirely from Apache-licensed open-source components. 🔍

Cost Comparison

Learn how this streamlined approach can be 80%+ cheaper at petabyte scale compared to traditional stacks like Postgres + ETL + Snowflake or Databricks. We'll provide a documented and auditable cost model, tailored to your enterprise's architectural needs. 💰📊

What You'll Take Away

• Insights into what open-source data infrastructure can achieve in 2026 compared to three years ago.
• A framework for evaluating your current platform architecture and determining if you're incurring unnecessary complexity costs.
• Context to reassess commitments to platforms like Snowflake, Databricks, or BigQuery using real numbers. 📈🔍

Who This Is For

• CDOs and Heads of Data considering platform consolidation.
• CTOs evaluating long-term vendor risks.
• Solution architects and data platform leads seeking technical insights before making recommendations.

Location: Grev Wedels Plass 9, meetup1, OSLO