Peakwork Saves 54% on BigQuery Compute Spend through Automation

Company

A global leader in travel technology since 2009, Peakwork specializes in dynamic packaging and distribution software. Their innovative Player Hub Technology creates a powerful network, efficiently linking global travel supply and demand for leading tour operators. Designed for high-volume traffic and extensive distribution, Peakwork's solutions streamline the global distribution of hotels and flights, enabling customized offers and maximizing market reach.

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Challenge

Peakwork’s core technology manages massive traffic volumes and requires rapid search results to optimize the "look-to-book" ratio. Historically, Peakwork operated on BigQuery's on-demand pricing model and wanted to ensure a transition to capacity-based pricing wouldn’t increase costs. This raised a key decision: continue with the familiar on-demand model, or introduce capacity-based to improve predictability and value.

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Solution

Peakwork integrated Alvin's autonomous agent for their Looker queries, attracted by its easy setup and immediate value. Alvin's dynamic query routing intelligently optimizes BigQuery queries, leveraging the most cost-effective pricing plan based on the query characteristics. This allowed Peakwork to combine the benefits of both on-demand and capacity-based pricing, significantly reducing their BigQuery spend from day one without manual effort or engineering overhead.

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Results

  • 54% reduction in query costs
  • 19% reduction in average query time
  • Improved visibility on BigQuery spend
  • Increased predictability and consistency of daily spend

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“We were impressed by how quickly Alvin was to set up and once we connected we started to see results almost immediately. We’re now seeing savings of over 50% of our total BigQuery spend on queries.”

Rouven Urfels, IT Architect at Peakwork

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Billing model Optimization

Alvin continuously analyses every query executed by Peakwork, calculates the optimal billing model, and executes the query using the most cost effective. For compute-heavy queries, on-demand billing is used, ensuring Peakwork only pays for bytes scanned rather than the larger cost associated with slots. For scan-heavy query, capacity billing is used, avoiding being billed for bytes scanned. Here is what Peakwork’s savings looked like in July:

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Consistency and predictability of spend

Prior to using Alvin, because of fluctuation in usage Peakwork often saw cost spikes that required additional cost-intensive review. Because on-demand is billed on bytes scanned with no upper limit, even a single query that scans a lot of data can lead to an unexpected increase in spend. With Alvin, these scan heavy queries are run on the reservation, leading to a smoothing of these spikes. As you can see from the chart below, Peakwork’s costs became much more consistent with Alvin.

Spiky costs before Alvin
Predictable daily spend with Alvin

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Company Size
51-200
Industry
Travel
Region
EMEA
Query Sources
Looker

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