Rideshare Marketplace Observability | RTA Summit 2025

At Grab Taxi, real-time analytics is mission-critical for optimizing marketplace operations, improving driver-partner efficiency, and enhancing the passenger experience. To achieve this, we built MarketWatch, a real-time observability platform powered by Apache Pinot.

Our architecture leverages Apache Flink and Apache Kafka to process and stream high-velocity event data, which Pinot ingests to deliver ultra-fast, low-latency analytics. This enables teams across Grab to track marketplace health, detect anomalies, and respond to operational changes in real-time.

By adopting StarTree's tiered storage and real-time indexing, we have significantly improved our operational posture, ensuring high availability, scalability, and cost efficiency while serving real-time insights. In this session, we’ll showcase our journey, the challenges we overcame, and how Apache Pinot has become the backbone of real-time metrics at Grab Taxi.

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ABOUT STARTREE
StarTree, powered by Apache Pinot™, is the platform for continuous insights at scale. StarTree turns raw data streams—like clickstreams, logs, vector embeddings, and sensor data—into real-time analytics. It powers customer-facing data products, agent-facing data products, and operational intelligence.

Apache Pinot™ delivers real-time analytics by design, rather than extension—built from the ground up to ingest massive data streams with millisecond freshness, execute sub-second aggregations, and support tens of thousands of queries per second. Pinot achieves this while radically reducing infrastructure costs by scanning less data and extreme compression.

StarTree was founded by the core software engineering team and inventors of Apache Pinot™, which currently powers hundreds of user-facing applications at companies across industries, including Uber, LinkedIn, Stripe, Target, 7Eleven, NuBank, Etsy, Walmart, Together AI, and more.

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