The Open Efficiency Playbook: Why fast keeps your lakehouse open

Vinoth Chandar, Founder & CEO @ Onehouse

Open gives portability. Efficiency keeps it. This keynote shows how to assemble a vendor-neutral lakehouse with Apache Hudi™ or Apache Iceberg™, Apache XTable (incubating) for cross-format metadata without copies, and multi-catalog so one physical dataset serves Apache Spark™, Trino, Flink, and Ray. Then we apply a cost SLO rubric and engine fit rules to cut ETL spend and raise throughput. We finish by standardizing data layout work so every engine runs faster and cheaper using reproducible OSS patterns.

Key takeaways:

  • Build a vendor-neutral core with Apache Hudi™ or Apache Iceberg™, XTable, and multi-catalog
  • Track simple cost SLOs: $ per TB transformed, $ per 100M rows, time to first result
  • Match engines to jobs: OLAP on Trino or ClickHouse or StarRocks, DS/ML on Ray or Dask, streaming on Flink, when to keep Spark
  • Cut ETL waste by reducing scans, shuffles, and rewrites
  • Standardize layout ops: partition evolution, compaction, clustering and sort, stats and pruning, metadata hygiene
  • Avoid cost spikes from managed table services and prefer reproducible OSS techniques

Learn more from our co-chair sponsor Onehouse:

Where & when?

Open Source Data Summit 2025 was held on November 13th, 2025.

What is the cost of access to the live virtual sessions?

OSDS is always free and open to all.

What is Open Source Data Summit?

OSDS is a peer-to-peer gathering of data industry professionals, experts, and enthusiasts to explore the dynamic landscape of open source data tools and storage.

The central theme of OSDS revolves around the advantages of open source data products and their pivotal role in modern data ecosystems.

OSDS is the annual peer hub for knowledge exchange, fostering a deeper understanding of open source options and their role in shaping the data-driven future.

Who attends OSDS?

OSDS is attended by data engineers, data architects, developers, DevOps practitioners and managers, and data leadership.

Anyone looking for enriched perspectives on open source data tools and practical insights to navigate the evolving data landscape should attend this event.

Example topics for Open Source Data Summit:
  • Benefits of open source data tools
  • Cost/performance trade-offs
  • Building data storage solutions
  • Challenges surrounding open source data tool integration
  • Solutions for the cost of storing, accessing, and managing data
  • Data streams and ingestion
  • Hub-and-spoke data integration models
  • Choosing the right engine for your workload
Are you interested in speaking or sponsoring the next Open Source Data Summit?

Submit a talk proposal here or reach out to astronaut@solutionmonday.com.

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