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Title

Quartile uses patented machine learning to optimize e-commerce ad bidding

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…tional databases 10x faster 45 minutes to optimize bidding, down from 7.5 hours Quartile is the world’s largest e-commerce cross-channel advertising platform, serving over 5,000 connected ad accounts from more than 10 channels. Built on…

Description

Quartile, the world's largest e-commerce cross-channel advertising platform, built on six patented machine learning technologies, automates and optimizes ad bidding across Google, Facebook, Amazon, Instacart, Walmart and other channels. Its patented ad-performance algorithms run on the machine learning persona in the Databricks Data + AI Platform. After migrating to Databricks and Delta Lake, Quartile reduced the runtime of its daily bid-optimization job from 7.5 hours to 45 minutes and cut data storage by 80% compared to traditional data warehouses.

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…ad platform 80% Reduction in data storage from traditional databases 10x faster 45 minutes to optimize bidding, down from 7.5 hours Quartile is the world’s largest e-commerce cross-channel advertising platform,…
…r Stories / Quartile CUSTOMER STORY Becoming the largest e-commerce ad platform 80% Reduction in data storage from traditional databases 10x faster 45 minutes to optimize bidding, down from 7.5 hours Quartile is the…

Company

Quartile

classification · high
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Quartile CUSTOMER STORY Becoming the largest e-commerce ad platform 80% Reduction in dat…

Industry

Technology & Software

classification · high
…and Databricks will be the center of these innovations. Share this post Details Industry : Technology and Software Use Case : Data Science , Data Warehousing Cloud : Azure Product : Databricks S…

Deployment model

cloud

classification · high
…s Industry : Technology and Software Use Case : Data Science , Data Warehousing Cloud : Azure Product : Databricks SQL , Delta Lake , Lakeflow Connect , Agent Bricks Ready t…

Problem

Quartile faced challenges storing and processing data for multiple advertising channels, batch processing over 10TB of data on a single job that applied all transformations required for data reporting, causing server unavailability, late data deliveries, and individual jobs running up to 7.5 hours every day.

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…re couldn’t keep up with the size of data Quartile was processing. The team was batch processing over 10TB of data on a single job, which applied all transformations required for data reporting, causing server…
…for improving the performance of ads, had severe performance problems, such as individual jobs running up to 7.5 hours every day. Technology evolution, from legacy to modern data stack As part of the evolutio…

Solution

Quartile evolved its data architecture from traditional SQL databases running on Azure cloud to the Databricks Data + AI Platform, using Delta Lake, Databricks Auto Loader, Databricks SQL, and Lakeflow Jobs; its patented algorithms for improving ad performance are implemented utilizing the machine learning persona in Databricks.

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…f the company, Quartile’s data architecture has reached new levels of maturity, growing from traditional SQL databases running on Azure cloud to a new solution with Databricks Data + AI Platform as the foundation. This modernization has had direct impact in several areas of the company and c…

Technology

Databricks Data + AI Platform, Delta Lake, Databricks SQL

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…tal and efficient processing of new data files as they arrive in cloud storage; by using Delta Lake for its open format storage layer, which delivers reliability, security and performance on the data lake; by using Databricks SQL, which continues to bring data engineers and data analysts closer with easy-to-build queries and dashboards; and with Databricks Lakeflow Jobs, which connects all of the pieces together i…

Use case type

Predictive operations

classification · medium
…le, has grown over 100% since they partnered with Quartile. But that’s not all. Quartile has also patented algorithms for improving the performance of ads, which are implemented utilizing the machine learning persona in Databricks. The ability to have a central lakehouse to build their entire data stack has ma…

Headline outcome

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…ad platform 80% Reduction in data storage from traditional databases 10x faster 45 minutes to optimize bidding, down from 7.5 hours Quartile is the world’s largest e-commerce cross-channel advertising platform,…

Business value

When migrating the data from a traditional SQL database to Databricks, they saw a considerable reduction in data volume, mainly due to the optimizations of Delta with version control and Parquet compacting, resulting in storage reduction from 90TB to about 18TB, and individual optimization jobs that used to take 7.5 hours now run in 45 minutes on the lakehouse.

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…due to the optimizations of Delta with version control and Parquet compacting, resulting in storage reduction from 90TB to about 18TB. The lakehouse architecture has enabled Quartile’s data stack to evolve. This h…
…ng clicks for trademark terms by improving the performance of individual jobs — they used to take 7.5 hours but now run in 45 minutes on the lakehouse. Looking ahead, Quartile is continuing to partner with Databricks to build thei…

AI capabilities

Predictive Analytics

classification · medium
…le, has grown over 100% since they partnered with Quartile. But that’s not all. Quartile has also patented algorithms for improving the performance of ads, which are implemented utilizing the machine learning persona in Databricks. The ability to have a central lakehouse to build their entire data stack has ma…

Deployment options

cloud

classification · high
…s Industry : Technology and Software Use Case : Data Science , Data Warehousing Cloud : Azure Product : Databricks SQL , Delta Lake , Lakeflow Connect , Agent Bricks Ready t…
Capture details
Captured
18 Sept 2026, 06:01 UTC
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fetch-strip@1
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311b653dcc91574fe6e771bff947b6a8e9b78be0a13d16408f8a05e332cc6406