48.3kThe real-time
data warehouse
Optimized to power data-intensive applications that run on real-time and historical data. With blazing speed and high concurrency.
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
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
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
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.
- No
High query latency and concurrency limitations are commonplace
- No
Can create data bloat and inefficient usage of system resources
- No
Analytics queries scale inadequately as data volumes increase
- No
Can lead to growing operational complexity
- No
Costly for many workloads
- Yes
Engineered to handle highly concurrent workloads that back user-facing applications
- Yes
Optimized to manage petabytes of data, with best-in-class compression ratios for the most efficient storage usage
- Yes
Delivers unparalleled performance for analytical workloads at scale
- Yes
Simplified developer experience that's easy to manage and scale
- Yes
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
Relied on across industries
Financial services
Trading and market analytics, fraud detection, risk monitoring, blockchain, and more.
E-Commerce and retail
Real-time inventory monitoring and overall tracking for online businesses.
Marketing and sales
Data store for Adtech, web analytics, SEO, and much more.
Technology
Including IoT, Energy, Biotech, Manufacturing, and others.
Media and entertainment
Assess the performance of videos, assets, and other media in real‑time.
Gaming
Understand player behavior, gaming dynamics, and other key insights used to improve overall gameplay.
Cybersecurity
Proactive threat detection and response with real-time speed, at any scale.
Automotive
Deliver vehicle telemetry, factory analytics, predictive maintenance, and connected car insights in real time.