Symphony RetailAI helps retailers and CPG manufacturers drive profitable revenue growth through AI-enabled decision-making. Its customers include 15 of the world’s 25 largest grocery retailers, thousands of retail brands, and hundreds of national and regional chains.
To uncover the insights that its customers require, Symphony RetailAI must continually ingest and analyze terabytes of customer data into its 700TB data warehouse environment. And in the fast-moving consumer goods industry that Symphony RetailAI serves, the company must turn those mountains of raw data into actionable insights and deliver them to customers as rapidly as possible.
In 2018, Symphony RetailAI began looking for a data warehousing platform that could help it scale for customer growth and minimize the time required to get insights to customers. That meant not only reducing query times, but also less time required to ingest that data, analyze it, and make the results accessible.
At the time, Symphony RetailAI relied on a range of different data warehousing platforms, including Netezza, AWS Redshift, SQL Server, and 1010data. However:
The company considered going cloud-only with Snowflake or Google BigQuery, but neither offered the predictable price/performance of Yellowbrick. For example, although one vendor promised on-demand scalability, Symphony found that it would either need to subject customers to unacceptable 12-15 second delays for real-time queries as instances in the cloud were scaled-up, or would need to pay four times as much as Yellowbrick to keep those instances running 24x7.
Symphony RetailAI moved all workloads from Netezza, Redshift, and 1010data to Yellowbrick, with results including:
- Nigel Pratt, SVP Development