hipages simplifies home improvements with targeted customer engagement via Databricks
Australian tradie marketplace hipages consolidated three legacy data warehouses (MySQL, Redshift, Athena) into a single Databricks lakehouse with Databricks SQL, Kafka CDC ingestion and dbt, achieving 100% uptime on its key Job Estimator report versus its prior Redash setup and projecting thousands of dollars in annual infrastructure savings.
Overview
Australian tradie marketplace hipages consolidated three legacy data warehouses (MySQL, Redshift, Athena) into a single Databricks lakehouse with Databricks SQL, Kafka CDC ingestion and dbt, achieving 100% uptime on its key Job Estimator report versus its prior Redash setup and projecting thousands of dollars in annual infrastructure savings.
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Inspect the highlighted sourceThe challenge
hipages ended up with three generations of data warehouses (MySQL, then Redshift, then Athena), with data taking two days on average to transition between warehouses, delaying access for analysts and decision-makers, and making self-service analytics nearly impossible since analysts depended on data engineers to access and interpret data.
The solution
hipages migrated its three data warehouses into a single Databricks lakehouse, using Databricks SQL to let data analysts build dynamic dashboards and run rapid analyses, Kafka to capture change-data-capture events from its production database, Fivetran for batch ingestion, dbt to standardize and modularize SQL data models, and Hightouch for reverse ETL into marketing platforms like Braze.
Reported business value
Since moving the Job Estimator report from Redash to Databricks five months ago, hipages has had zero incidents, giving 100% uptime on this key report, and the company expects to save over thousands of dollars annually once it decommissions its legacy systems.
Sources
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