TLDR Tech / Data
How Airtable Saved Millions by Cutting Archive Storage Costs by 100x
Airtable cut archive storage costs by about 100x by moving cold, mostly immutable MySQL data into S3 as partitioned Parquet files and querying it with embedded Apache DataFusion. The dataset became 10x smaller, while S3 was about 10x cheaper per byte. A Flink-based migration, bulk and shadow validation, tiered caching, custom secondary indexes, and Parquet bloom filters preserved interactive latency and enterprise guarantees.
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