Firebolt vs Athena: Index or Scan

Amazon Athena and Firebolt can both query data stored in object storage but use different cost and performance models: Athena charges roughly $5 per TB scanned, making it economical for infrequent, well-partitioned queries, while Firebolt charges for continuously running compute engines and uses primary and aggregating indexes to reduce repeated scans at high refresh rates. Athena relies on Hive or Iceberg partitions, Parquet compression, and column projection, whereas Firebolt prunes indexed tablet granules, can maintain warm caches and aggregates, and supports separate engines for concurrent BI workloads. Using an assumed 8 GB hourly dataset, the examples estimate Athena costs of about $10.50 per month for hourly internal reporting, roughly $124 for five-minute dashboard refreshes, and about $2,475 per month for a 15-second customer-facing tile, while a Firebolt Small engine running 12 hours a day would cost about $243 monthly. The comparison also highlights ingestion and freshness differences, as Athena commonly depends on buffered files delivered to S3, while Firebolt can ingest through SQL or Kafka streams when an engine is running. Tinybird is presented as a separate option for product-facing APIs, using ClickHouse SQL, HTTP endpoints, and materialized rollups to serve frequently refreshed application queries without repeatedly scanning raw files. The recommended division is to retain Athena for rare queries and unindexed lake data, use Firebolt for indexed BI workloads with high refresh rates or concurrency needs, and use Tinybird when repeated aggregations must power low-latency customer applications.

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