Sub-Second Real-Time Analytics with ClickHouse & Apache Iceberg

Replace multi-million dollar data warehouses with modern columnar analytics that aggregate billions of rows in milliseconds.

Architected by Vaibhav Bhosale

11 min read

Updated 2026-01-15

Verified Architecture

12x

Faster Query Execution

78%

Compute Cost Reduction

5 Billion+

Daily Events Ingested

Sub-300ms

Dashboard Latency

Executive Architecture Summary

Traditional cloud data warehouses like Snowflake, Redshift, and BigQuery become cost-prohibitive when powering live user-facing dashboards with millions of analytical queries daily. i26 deploys ClickHouse and Apache Iceberg architectures that process billions of events per second with sub-500ms p99 latency at a fraction of the compute cost.

The Enterprise Challenge & Cost Liabilities

Enterprises building customer-facing analytics dashboards discover that cloud data warehouses charge by compute credits or bytes scanned. A dashboard refresh that queries 50 million rows costs dollars per click, leading to either throttled data freshness or runaway cloud invoices.

The i26 Engineering Solution & Blueprint

- Ingest real-time telemetry from Kafka directly into **ClickHouse** using vectorized MergedTree engines with LZ4/ZSTD compression. - Structure cold history in open **Apache Iceberg** table format on object storage (S3/GCS), querying it seamlessly without expensive data duplication. - Serve interactive executive dashboards and customer portals with sub-second response times on minimal hardware.

Technologies & Architecture Components

ClickHouseApache IcebergApache KafkaVector IngestionGrafana / Cube.jsAWS S3 / MinIO

Vaibhav Bhosale

Founding Partner & Chief Systems Architect · i26 AI & Software Solutions

Specializing in zero-downtime database cutovers, cloud FinOps rightsizing, and sovereign private VPC AI architectures. Oversees all enterprise implementations at i26.

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Ready to Implement This Solution in Your Environment?

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