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Separation Enables Specialized Data Systems
- Data handling needs different systems for different use cases; separation of storage and compute enables that flexibility.
- Table formats (Delta, Iceberg, Hudi) add transactional guarantees to object storage so diverse engines can share data reliably.
Table Formats Bring Warehouse Guarantees To Files
- Table formats (Delta, Iceberg, Hudi) add an abstraction layer over object stores to give files transactional and table-like behavior.
- That layer makes engines like Spark, Presto, ClickHouse and Druid behave more like SQL systems on the same data.
Match Tools To Use Cases
- Choose tooling based on your use case rather than trying to force one stack to do everything.
- Use specialized engines (ClickHouse, Druid, Spark) for workloads that demand their performance/latency profiles.