An F1 team reduced their development time by 3x
while increasing autonomy across product lines
90xFaster processing speed
< 2msData latency
heroicons:check-badge-20-solidReconciling streaming data errors
heroicons:trophyResults
Challenge
A rigid framework not adapted to the many workflows coexisting within the company, leading to multiple development bottlenecks.
heroicons:puzzle-pieceIssue
120HzData throughput
80+Streaming pipelines
heroicons:exclamation-triangle-16-solidRigidity 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.
heroicons:chat-bubble-oval-left-ellipsis 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 performancePathway's Live Data Framework
- heroicons-solid:check-circleUnified engine for batch and streaming
- heroicons-solid:check-circleAdvanced data transformations, including ML with very low latency
- heroicons-solid:check-circleFreedom to create and operate their own solutions (architecture, data pipelines)
- heroicons-solid:check-circleIncreased ease of use: for user-defined functions and putting code in production
Product