FireScale shows Firebolt delivering low latency of 120 milliseconds under high concurrency of 2500 QPS and price-performance that is 8x better than Snowflake, 18x better than Redshift and 90x better than BigQuery
Today, Firebolt announced its benchmark results on FireScale, a new benchmark simulating real-world workloads. Firebolt ran the FireScale benchmark on Firebolt as well as other cloud data warehouses (CDWs) such as Snowflake, Redshift and BigQuery. The results prove Firebolt to be a clear leader in CDWs in delivering low latency, high concurrency and the b*********-performance for data-intensive AI applications.
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In the benchmark, Firebolt ran 25 queries taken from real user query patterns on 1 TB of simulated web traffic data. For concurrent benchmarking, they selected 5 of those queries and generated 50,000 variations that were run in a random order, measuring queries per second (QPS) when 50+ simulated clients are submitting new queries as soon as they get results.
Here is a summary of the FireScale benchmark results:
- Firebolt is 8x better in price-performance than Snowflake, 18x better than Redshift and 90x better than BigQuery.
- To achieve Firebolt’s performance characteristics, Snowflake is 37.5 times more expensive, whereas Redshift and BigQuery failed to achieve anywhere close to similar performance numbers.
- For equivalently priced engines, Firebolt delivers 5.5x QPS compared to Snowflake and 10x QPS compared to Redshift. Firebolt also exhibits near-linear scaling when adding clusters, delivering low latency of 120 milliseconds with a throughput of 2500 QPS.
“At Firebolt, we are focused on building the next-generation cloud data warehouse for companies creating data-intensive AI applications,” said Igor Stanko, Chief Product Officer at Firebolt. “With the coming wave of AI agents and related applications, it has never been more important to be able to query and surface the right data with sub-second latency in a cost-efficient manner at a massive scale. These FireScale benchmark results prove conclusively that Firebolt is the fastest and most cost-efficient cloud data warehouse to help organizations build and deliver AI-powered applications and experiences for their customers.”
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Firebolt recently introduced the ability to choose between storage-optimized and compute-optimized compute families, allowing users to fine tune compute resources to their workloads and have granular control over price-performance. “More choices for the users? Yes, please!” said Mosha Pasumansky, Chief Technology Officer at Firebolt. He added, “Compute-optimized family can deliver similar performance for half the price for many workloads. When our users win – we win too.”
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