"As data size grew, we faced performance and cost challenges with AWS Redshift. Switching to ClickHouse improved our query performance by 20 times and greatly cut costs."
Tao Ma, Data Engineering Lead, Jerry
- Comparisons
ClickHouse vs Redshift

ClickHouse is a high-performance, SQL-based analytics database built for traditional data warehouse workloads, real-time dashboards, and user-facing applications. For teams using Amazon Redshift, ClickHouse offers an alternative built for interactive workloads that demand low query latency and high concurrency.
ClickHouse combines fast queries with efficient use of storage and compute. Explore the benchmarks and customer stories below to see how teams have improved query performance and reduced costs after moving from Redshift to ClickHouse.
Why ClickHouse is better:
75%
Reduction in cost
2.5x
Faster queries
20x
Concurrency
Read our comprehensive guide about migrating from Redshift to ClickHouse.

"Moving over to ClickHouse, we were basically able to cut that (Redshift) bill in half"
Brooke McKim
Co-founder and CTO, Vantage
Trusted by developers that work with data at scale
Why do developers choose ClickHouse?
Redshift performance limitations
Redshift heavily limits concurrency which makes building customer-facing or highly parallelized applications very challenging. Redshift maxes out concurrency at 50 across all queues.
ClickHouse is the fastest and most resource-efficient database for analytics.
ClickHouse is designed to handle high levels of concurrency and can efficiently handle multiple concurrent users accessing and querying data. It provides robust performance and scalability for analytical workloads even with large numbers of concurrent users.
Companies all over the world use ClickHouse to power interactive, ad-hoc, and user-facing applications.
Redshift high query latency
Amazon Redshift suffers from high query latency for a number of reasons. The reasons group into data governance, general administration, query optimization and often sub optimal table design.
ClickHouse is designed to deliver unparalleled performance for real-time analytics.
Companies tell us that they’ve found a 5x or greater improvement in query times when migrating their analytical workloads from Redshift to ClickHouse.
Whether you’re aggregating huge volumes of data or interactively slicing and dicing on the fly, ClickHouse ensures blazing speed.
"You can see that ClickHouse outperforms Redshift easily…. The performance of ClickHouse was consistent in returning results, with some spikes possibly related to the network storage. They also tested the performance of ClickHouse with different levels of concurrency, which showed predictable growth and a maximum query time of six seconds"
Vadim Semenov
Redshift significant cost burden
Optimizing query execution plans, indexing strategies, and database configuration parameters requires expertise and ongoing monitoring to address PostgreSQL performance bottlenecks.
ClickHouse’s efficient management of resources helps to maximize its cost-effectiveness.
ClickHouse was designed from the ground up for best-in-class resource utilization.
We’ve heard from customers that moving to ClickHouse from Redshift reduced costs by as much as 75%. And, during Rokt’s benchmark analysis, they discovered that ClickHouse was three times less expensive than Redshift.
"Moving over to ClickHouse we were basically able to cut that (Redshift) bill in half."
Brooke McKim, Co-founder and CTO, Vantage
Trusted by developers that work with data at scale
Further reading
Blog
Vantage's Journey from Redshift and Postgres to ClickHouse
Blog
Optimizing Analytical Workloads: Comparing Redshift vs ClickHouse
Docs
Migrating Data from Redshift to ClickHouse
Video
Migrating from Redshift to ClickHouse