Top Companies Using ClickHouse for Data Analytics

Snehakumari

Which companies or industries are using ClickHouse for big data analytics and reporting?
Let’s discuss how companies across sectors like e-commerce, finance, and media leverage ClickHouse for fast, scalable analytics solutions.

aiops

Several top companies worldwide use ClickHouse for data analytics, including GitLab, which leverages ClickHouse for fast query responses over massive datasets, significantly improving query performance. Deutsche Bank uses ClickHouse for real-time analytics of financial data, while Cloudflare employs it to process high-throughput logs and events efficiently. eBay and Spotify also use ClickHouse for handling large-scale data analytics, especially in real-time data processing and media/streaming analytics. Lyft integrates ClickHouse for analytics related to its ride-sharing platform. These companies span industries like finance, SaaS, web infrastructure, media, and transportation, demonstrating ClickHouse's versatility in handling large, real-time data workloads with speed, scalability, and cost efficiency. Its ability to process massive datasets quickly makes it a preferred choice for enterprises requiring fast and efficient data analytics across various use cases.

devsecops

Many prominent companies use ClickHouse for their data analytics needs due to its high-performance and scalability. Notable examples include Cloudflare, which relies on ClickHouse for real-time log processing and analytics; eBay, which uses it for event analytics and OLAP workloads; and Deutsche Bank, which utilizes ClickHouse for analyzing trade and market data. Additionally, Spotify leverages ClickHouse for user behavior analysis and reporting, while Lyft uses it to handle large-scale data for analytics and real-time reporting. These companies, among others, benefit from ClickHouse’s ability to process massive datasets quickly and efficiently, making it ideal for industries requiring real-time insights and large-scale data processing.

mlops

Several leading technology and digital-first enterprises use ClickHouse for large-scale data analytics, proving its value in high-volume, low-latency workloads. Prominent adopters include Cloudflare, which relies on ClickHouse for DNS and HTTP traffic analytics, and Uber, Lyft, and eBay, which use it for internal logging, real-time metrics, and user behavior analysis. Streaming and SaaS companies such as Spotify, GitLab, Twilio, HubSpot, and ServiceNow also leverage ClickHouse to power dashboards, observability platforms, and customer analytics at scale. In the enterprise segment, firms like IBM, Microsoft, Cisco, Deutsche Bank, and Checkout.com apply ClickHouse to a mix of risk monitoring, fraud detection, and operational reporting. Together, these use cases highlight ClickHouse’s strengths in speed, scalability, and cost-efficient analytics across industries.

dataops

ClickHouse, an open-source columnar database management system, is widely used by several leading companies for real-time data analytics due to its high performance and scalability. Major global companies like Tesla, Cloudflare, Deutsche Bank, and eBay have adopted ClickHouse for processing massive amounts of data in real time. Tesla uses ClickHouse for its observability platform, handling vast data streams, while Cloudflare leverages it for network analytics across its infrastructure. In the financial sector, Deutsche Bank utilizes ClickHouse for analyzing trade and market data, and eBay employs it for real-time analytics on event data. Additionally, companies like Spotify and SEON also benefit from its ability to accelerate analytics workloads. These companies represent the broad adoption of ClickHouse across industries, from technology and finance to e-commerce, demonstrating its value in handling high-volume data analytics with efficiency and speed.

cloud

Several leading companies across various industries have adopted ClickHouse for their data analytics needs due to its ability to handle large-scale, real-time analytics with high performance. Spotify uses ClickHouse to manage large volumes of usage data for fast, scalable processing. Deutsche Bank relies on ClickHouse for managing massive datasets related to trading, market data, and internal analytics. Cloudflare leverages ClickHouse for log analytics and observability, processing millions of events in real-time. eBay utilizes ClickHouse for online analytical processing (OLAP) and real-time analytics of event data, while Tesla builds an observability platform on ClickHouse to process trillions of metrics and events with minimal latency. Additionally, startups like beehiiv have migrated from traditional databases like Postgres to ClickHouse for more efficient event analytics at scale. These companies benefit from ClickHouse’s ability to deliver fast query performance, scalability, and low-latency data ingestion, making it ideal for real-time analytics at scale.