---
title: "ClickHouse achieves AWS Retail Competency"
description: "ClickHouse has achieved the AWS Retail Competency in the Advanced Data Insights category, a designation recognizing validated technical expertise and demonstrated customer success in retail real-time analytics. Retail workloads described here combine high-volume, high-cardinality, high-concurrency data with hard freshness requirements, including inventory, pricing, personalization, and peak seasonal demand. The post attributes the platform's fit to compressed columnar storage, parallel queries, continuous Kafka and Amazon S3 ingestion through ClickPipes, compute-compute separation, and AWS support for private networking, multi-region deployment, and Marketplace billing. Examples include Mercado Libre's 90-TB-per-day observability ingestion and trace lookups reduced from 15–20 minutes to about two seconds, while other customers report cost, speed, and analyst-efficiency gains."
---

# ClickHouse achieves AWS Retail Competency

[Clickhouse](https://yomu.fyi/company/clickhouse) · Jun 12, 2026

**Type:** Announcement

## Summary

ClickHouse has achieved the AWS Retail Competency in the Advanced Data Insights category, a designation recognizing validated technical expertise and demonstrated customer success in retail real-time analytics. Retail workloads described here combine high-volume, high-cardinality, high-concurrency data with hard freshness requirements, including inventory, pricing, personalization, and peak seasonal demand. The post attributes the platform's fit to compressed columnar storage, parallel queries, continuous Kafka and Amazon S3 ingestion through ClickPipes, compute-compute separation, and AWS support for private networking, multi-region deployment, and Marketplace billing. Examples include Mercado Libre's 90-TB-per-day observability ingestion and trace lookups reduced from 15–20 minutes to about two seconds, while other customers report cost, speed, and analyst-efficiency gains.

## Context

Retail operations generate high-volume, high-cardinality, high-concurrency data that changes faster than nightly batch processing can absorb. Inventory, pricing, personalization, supply-chain activity, and seasonal peaks require fresh data and fast queries.

## Approach / What changed

ClickHouse describes using compressed columnar storage, a parallel query engine, ClickPipes for continuous Kafka and Amazon S3 ingestion, and compute-compute separation. On AWS, the service supports private networking, multi-region deployment, and AWS Marketplace billing. The AWS Retail Competency followed review of production architectures, security and operational practices, and customer outcomes.

## Takeaways

- ClickHouse says its columnar storage, compression, parallel query engine, and compute-compute separation support fresh retail analytics under high concurrency.
- Mercado Libre's ClickHouse Cloud observability platform ingests roughly 90 TB of new data daily, with critical trace lookups taking about two seconds instead of 15 to 20 minutes.
- Reported customer outcomes include Datavations' 15x reduction in cloud expenses, 18x increase in processing speed, and 5x improvement in analyst efficiency.

**Tags:** [AWS](https://yomu.fyi/topic/aws), [Observability](https://yomu.fyi/topic/observability), [Performance](https://yomu.fyi/topic/performance), [Streaming](https://yomu.fyi/topic/streaming)

- Source: [Clickhouse](https://clickhouse.com/blog/achieves-aws-retail-competency)
- Source URL: https://clickhouse.com/blog/achieves-aws-retail-competency
- Ingested by Yomu: 2026-08-29T01:35:05.897Z

[Read original post](https://clickhouse.com/blog/achieves-aws-retail-competency)