Swiggy Delivers Real-Time Insights with Confluent

Swiggy, India's leading on-demand delivery service, has transformed the hyperlocal commerce landscape by prioritizing data-driven insights. Committed to enhancing the lives of urban consumers, Swiggy has successfully delivered over three billion orders across 680 cities as of 2024. To maintain its competitive edge, Swiggy recognized the need to optimize its data infrastructure. Transitioning from an open-source Apache Kafka system to Confluent's fully managed data streaming platform enabled Swiggy to enhance data management and governance while reducing operational overhead.

Akash Agarwal, Data Architect at Swiggy, emphasized that Confluent's platform allows them to focus on business-oriented aspects such as data governance and metrics. This strategic shift freed up resources previously dedicated to infrastructure management, allowing the data team to concentrate on strategic initiatives. By leveraging Confluent's platform for real-time predictions, recommendations, and analytics, Swiggy has improved asynchronous communications across its services. For instance, when a customer opens the Swiggy app, the Confluent cluster powers the predicted SLA, providing an accurate estimated delivery time.

During peak demand periods, such as festivals, Swiggy relies on Confluent's elastic scaling capabilities to ensure uninterrupted service. The data team can easily adjust capacity needs, eliminating the need for manual management. Confluent also plays a crucial role in mapping data lineage, identifying anti-patterns, and streamlining complex workflows, ultimately enhancing system efficiency. Swiggy is now exploring Confluent's managed Apache Flink offering and built-in connectors, further enabling the company to focus on driving business outcomes rather than custom processing solutions.

Swiggy's operations revolve around customers, restaurants, and delivery partners. With Flink powering continuous stream processing, each stakeholder benefits from real-time insights, ensuring smooth and informed decision-making. Swiggy's expansion plans across India are supported by Confluent's data streaming platform, which streamlines data management and accommodates future growth. The company can now allocate resources to business goals and strategies, accelerating its expansion and enhancing convenience for its users.

Value Results:

• Enhanced Data Governance: Shifted focus from infrastructure management to strategic data governance.

• Improved Real-Time Insights: Enabled real-time predictions, recommendations, and analytics for better customer experience.

• Elastic Scalability: Ensured uninterrupted service during peak demand periods.

• Streamlined Operations: Mapped data lineage, identified anti-patterns, and improved system efficiency.

• Accelerated Expansion: Supported expansion plans with streamlined data management.