Iceberg-First Ingestion: How Taktile cut 70% of costs

Taktile's data team faced a challenge when their fintech platform's event data grew 12x in a year, outpacing their existing infrastructure. They introduced Apache Iceberg tables as an intermediate layer between their Lambda functions and Snowflake, separating concerns and scaling ingestion volume while reserving Snowflake for analytics work. This approach reduced costs by 70% and eliminated processing backlogs, allowing the team to move away from expensive warehouse compute and focus on analytical workloads. By modularizing their solution, integrating with open standards, and making incremental changes, Taktile was able to achieve a smoother transition and avoid vendor lock-in.

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