Datonics achieves 99% faster query processing with DoiT's BigQuery optimization

Leading data analytics firm transforms cloud efficiency and unit economics through HyperLogLog implementation

DoiT Cloud Intelligence™
Datonics
99%
Reduction in query processing time
93%
Reduction in BigQuery slot usage per query
99%
Reduction in data scanned per query

DoiT has given us a good balance of providing directions to do our own learning and reading and offering an opinion on which solution would support us best.

Adi Pinhasi
CTO at Datonics

The Challenge

Datonics faced limitations processing large datasets quickly and cost-effectively. Queries took hours to process or failed outright, with BigQuery costs exceeding $20,000 monthly. The company needed to optimize infrastructure while improving unit economics and maintaining data accuracy for their programmatic ad campaigns.

The Solution

DoiT's Cloud Data Architect implemented a HyperLogLog (HLL) algorithm to optimize BigQuery performance. This data structure enables accurate estimations with large datasets without excessive memory usage. DoiT provided consultative guidance, developed proof of concepts, and integrated the solution in manageable packages.

Results

  • Query processing time reduced from hours to 7 seconds (99% improvement)
  • BigQuery slot usage cut from 2,000 to 132 (93% reduction)
  • Data scanned per query reduced by 99%
  • Thousands in monthly infrastructure cost savings
  • Improved analyst productivity and delivery velocity

Meet Datonics

Datonics is one of the world's leading firms for aggregating and distributing search and targeted digital advertising data. Founded in 2011 as a subsidiary of Almondnet, a pioneer in targeted Internet advertising, the company helps businesses worldwide create and deliver programmatic ad campaigns through its flagship data analytics platform.

What's Next

Datonics continues its growth and expansion into new markets, backed by its decade-long partnership with DoiT. The efficiency gains from HLL implementation allow the company to manage data volumes previously beyond its budgetary and infrastructure capacity, enabling confident scaling with predictable unit economics.

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Story overview

Datonics

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