The real-time
data warehouse

Optimized to power data-intensive applications that run on real-time and historical data. With blazing speed and high concurrency.

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What is a real-time data warehouse?

Analytics push traditional data warehouses, lakes, and transactional databases to their limits – not just in terms of performance, but also with skyrocketing costs. A real-time data warehouse is purpose-built for fast, reliable, and cost-effective querying at any scale.

Evolution of data warehouses

30 years ago

Traditional on-prem data warehouse

30 years ago, on-prem data warehouses like IBM, Hadoop, Oracle, and Teradata were the only options available.

Data volumnes were small
Warehouses were operationally complex

10 years ago

Traditional cloud warehouse

Traditional cloud data warehouses, whose predecessors were built to manage much smaller volumes, began to strain under the increased data load.

Performance and concurrency limitations became limiting at scale
Retrofitting these for analytics or real-time workloads started to become prohibitively costly

TodayToday

Real-time data warehouse

Built for the next generation of data-intensive workloads.

Simplified and cost effective
Unified resource for querying streaming and historical data

Offline data warehouses

Why use a real-time data warehouse?

Companies leverage ClickHouse Cloud as their real-time data warehouse to ensure that analytics shine at any scale.

Traditional cloud data warehouse

Performance
High query latency and concurrency limitations are commonplace
Hardware efficiency
Can create data bloat and inefficient usage of system resources
Scale
Analytics queries scale inadequately as data volumes increase
Complexity
Can lead to growing operational complexity
Cost
Costly for many workloads

Real-time data warehouse

Performance
Engineered to handle highly concurrent workloads that back user-facing applications
Hardware efficiency
Optimized to manage petabytes of data, with best-in-class compression ratios for the most efficient storage usage
Scale
Delivers unparalleled performance for analytical workloads at scale
Complexity
Simplified developer experience that's easy to manage and scale
Cost
Maximizes cost-effectiveness

	Traditional cloud data warehouse	Real-time data warehouse
Performance	Performance High query latency and concurrency limitations are commonplace	Performance Engineered to handle highly concurrent workloads that back user-facing applications
Hardware efficiency	Hardware efficiency Can create data bloat and inefficient usage of system resources	Hardware efficiency Optimized to manage petabytes of data, with best-in-class compression ratios for the most efficient storage usage
Scale	Scale Analytics queries scale inadequately as data volumes increase	Scale Delivers unparalleled performance for analytical workloads at scale
Complexity	Complexity Can lead to growing operational complexity	Complexity Simplified developer experience that's easy to manage and scale
Cost	Cost Costly for many workloads	Cost Maximizes cost-effectiveness

Impact of the real-time data warehouse

With Snowflake, we were using the standard plan, small compute, which cost nearly six times more than ClickHouse Cloud. We got several seconds query time and no materialized views.

With ClickHouse Cloud's production instance, we are getting sub-second query time along with materialized views. The decision to switch was a no-brainer for us.

Alternative to
Snowflake

We were on Redshift for about a year and a half, but found the operational overhead and performance wasn't getting it done. Moving over to ClickHouse we were basically able to cut that (Redshift) bill in half. That 30 second query now takes under a second, and every page loads just faster.

Alternative to
Redshift

It [BigQuery] discourages data usage. Instead of encouraging analysts to query the database in any and all ways they can imagine you’ll end up worrying about needing to limit them and come up with processes for controlling the volume of data being used. We simply don’t want the hassle of trying to figure out in advance of how many BQ slots to purchase - what a headache!

Alternative to
BigQuery

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.