Managing 200TB of player data required heavy manual oversight. Now, serverless pipelines let scientists deploy models themselves.
A sports analytics startup helping NFL and college football teams make multimillion-dollar roster decisions by processing up to 200 terabytes of sensor, scouting, and financial data per season.
Early infrastructure relied on a disorganized patchwork of cloud services and open-source tools that struggled to scale with the massive influx of...
“What we hear most from customers is, ‘Wow, you guys move fast.’ We wouldn’t be able to enable this kind of speed—turning around player insights so quickly—without Databricks.”
SumerSports is a sports analytics company that provides a data-driven platform to help professional and collegiate sports teams make informed roster decisions within salary cap constraints.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
SūmerSports's Sports analytics is part of this use case:
Related implementations across industries and use cases
A one-second delay was too slow for live sports. Cloud inference now delivers stats 10x faster, powering 60+ AI initiatives.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
A one-second delay was too slow for live sports. Cloud inference now delivers stats 10x faster, powering 60+ AI initiatives.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Managing 200TB of player data required heavy manual oversight. Now, serverless pipelines let scientists deploy models themselves.
A sports analytics startup helping NFL and college football teams make multimillion-dollar roster decisions by processing up to 200 terabytes of sensor, scouting, and financial data per season.
Early infrastructure relied on a disorganized patchwork of cloud services and open-source tools that struggled to scale with the massive influx of...
“What we hear most from customers is, ‘Wow, you guys move fast.’ We wouldn’t be able to enable this kind of speed—turning around player insights so quickly—without Databricks.”
SumerSports is a sports analytics company that provides a data-driven platform to help professional and collegiate sports teams make informed roster decisions within salary cap constraints.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
SūmerSports's Sports analytics is part of this use case:
Related implementations across industries and use cases
A one-second delay was too slow for live sports. Cloud inference now delivers stats 10x faster, powering 60+ AI initiatives.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
A one-second delay was too slow for live sports. Cloud inference now delivers stats 10x faster, powering 60+ AI initiatives.
Navigating 100,000 medical codes manually stalled billing. AI now predicts and routes them to EHRs, cutting manual work by 70%.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.