ClickHouse Delhi User Group

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🎤 Session Details: Agentic AI Systems: Performance Engineering for Conversational Workloads
Description: Generative AI got the buzz, but agentic AI is changing how we actually work. Instead of waiting for prompts, agents explore data, run iterative queries, and reason step by step. That shift creates real infrastructure challenges, including unpredictable query patterns, sub-second response requirements, mixed read and write workloads, and the need for visibility and trust in AI-driven results.
In this session, we will share practical lessons from running agentic workloads and what they mean for modern data platforms. We will also give updates on our AI roadmap, including how recent acquisitions like LibreChat and Langfuse strengthen agent interfaces, observability, and evaluation, and how we are building toward AI systems that do not just answer questions, but actively help you find better ones.
Speaker: Siddhant Agarwal, Senior Developer Relations Advocate, APAC, ClickHouse
Siddhant Agarwal leads Developer Communities for APAC at ClickHouse. Prior to ClickHouse, Sid was with Neo4j and Google. He is passionate about tech communities and has built India’s first fintech developer community at Open Financial Technologies and worked with Google Developer Relations programmes including GDSC, TFUG, GDG, and GDE. He has nearly a decade of experience building developer and startup communities globally and is among ACM’s Distinguished Speakers (one of 200+ worldwide, 20+ in India).

🎤 Session Details: High Speed, Low Latency IoT Logging in ClickHouse
Description: Managing a distributed solar energy grid requires an observability layer capable of handling massive streams of telemetry data from thousands of IoT-enabled sensors. When a solar provider needed to monitor and support their grid infrastructure in real time they faced the classic challenge of high-velocity data ingestion. Traditional databases often buckle under the pressure of sub-second ingestion requirements at this scale particularly when dealing with the dense time-series metrics typical of energy production. This session provides a deep dive into a real-world case study exploring why ClickHouse was selected as the engine to power this IoT logging architecture and how it was implemented to achieve required performance benchmarks.
Speaker: Ashok Vishwakarma, CTO, T9L

🎤 Session Details: Beyond CDC: Designing a Point-Read ETL Architecture for ClickHouse - How We Migrated 150M+ Rows and Built a Real-Time Analytics Platform
Description: At Zykrr, we process millions of survey responses linked to campaigns, participants, schedules, and dynamic survey schemas. While ClickHouse delivered the analytical performance we needed, building a scalable ingestion pipeline proved far more challenging than querying the data. This talk explores three architectures: an initial ClickPipes-based approach that struggled with large-scale joins, a CDC-based design using Debezium that lacked the flexibility required for dynamic schemas and campaign-specific analytics, and the Point-Read ETL architecture we run in production today. In this model, Kafka carries only entity identifiers, consumers fetch and join data in PostgreSQL, transform records into a denormalized analytical format, and write directly to ClickHouse. I’ll also share lessons on schema evolution, failure recovery, real-time processing, and how the same architecture migrated over 150 million records from PostgreSQL to ClickHouse without downtime or data loss.
Speaker: Abhishek Dasgupta, AI Engineer, Zykrr
I'm Abhishek Dasgupta, an AI Engineer at Zykrr working at the intersection of AI, data, and infrastructure. Over the past few years I have worked at 4+ startups, I've built production-scale AI applications, real-time analytics platforms and distributed data pipelines. I'm particularly interested in how AI systems, data platforms, and infrastructure come together to solve real-world problems at scale.

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https://clickhouse.com/clickathon/india2026

Questions?
Send them to clickathon-support@clickhouse.com

See you in Bengaluru. Let's build something real. 🚀