An F1 team reduced their development time by 3x
while increasing autonomy across product lines
while increasing autonomy across product lines
Results
90xFaster processing speed
< 2msData latency
Reconciling streaming data errors
Challenge
A rigid framework not adapted to the many workflows coexisting within the company, leading to multiple development bottlenecks.
Issue
120HzData throughput
80+Streaming pipelines
Rigidity imposed by the previous tooling
Solution
Pathway enabled a platform approach for end-users to create User-Defined Functions (UDFs) independently, to feed the various business needs from e-sports/sim-racing, to cars and formula 1 racing.
Customer feedback
Pathway enables an end-to-end data platform approach and integrates easily in our architecture. The Python code can be maintained and versioned and is very easy to put in production.
Senior Data Architect and Former F1 Head of performanceProduct
Pathway's Live Data Framework
- Unified engine for batch and streaming.
- Advanced data transformations, including ML with very low latency.
- Freedom to create and operate their own solutions (architecture, data pipelines).
- Increased ease of use: for user-defined functions and putting code in production.