Book a Demo

Discover how Laketap accelerates Iceberg workloads end-to-end with metadata caching, pushdown, and federated read—across Spark, Trino, Flink, and more.

⭐ We are opening 3 Design Partner slots for teams with large Iceberg workloads.

To apply, simply select the checkbox in the form.

Lakehouse acceleration demo30 min live session

What we’ll cover

•End-to-end path: object store → Laketap → engines
•How caching behaves for Parquet vs. ORC
•Engine adapters (Spark / Trino / Flink) and rollout steps
•Performance numbers on your workload profile

Contact

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Team Size *

Use Case

I’m interested in the Early Access Design Partner Program (optional)

Stack selection

Pick what you run today; use “Other” to capture anything missing.

Lake Formats

Table formats in your lakehouse

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Apache Iceberg	Select
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Book a Demo

What we’ll cover

Contact

Stack selection

Lake Formats

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