
ClickHouse is the most popular columnar database for wide workloads used in analytics. Its performance, scalability, and efficiency have made it the first choice of companies looking to process large data in real-time. Although ClickHouse is best at storing and querying data, it lacks an export feature to export similar data for complete analysis of insights. Firms need that bridge, and that's where Supaboard.ai steps in and offers easy data export, as well as highly powerful AI-driven analytics.

Sriyanshu Mishra
Data Analyst
5 mins
Why ClickHouse is So Popular
ClickHouse is most famously known for handling huge amounts of data in billions of rows at a very high speed. ClickHouse is founded on a query performance-focused columnar storage format, thus perfect for analytics applications. It has support for multiple data formats (e.g., CSV, Parquet, JSON), SQL compatibility, and real-time processing. Such aspects of ClickHouse have helped make ClickHouse business-friendly and in demand by every sector.
Businesses like Uber and Cloudflare rely on ClickHouse for their operational data analysis efficiently. Its open-source nature and community support also tend to make it widely used.
Role of Supaboard.ai in Exporting Data from ClickHouse
Supaboard.ai makes data export from ClickHouse easier by providing integrations that automatically extract datasets into a CSV, Parquet, or JSON format. Although ClickHouse does allow for export through SQL commands or utilities like clickhouse-client
Supaboard.ai enables this through elimination of manual setup. ClickHouse instances can be connected to Supaboard.ai quite easily and a table or query selection defined for export is easily done.
For example:
Supaboard.ai is able to export structured data optimally using ClickHouse INTO OUTFILE clause or File table engine.
It ensures secure, elastic data transfer with data integrity in data export.
This automation is time-efficient and error-free, enabling companies to concentrate on dataset analysis from the exported datasets instead of technical complexities.
Converting Exported Data using Supaboard's AI Analyst
As soon as data is exported from ClickHouse, Supaboard's AI Analyst takes over. Supaboard's AI Analyst uses machine learning algorithms to process big data and produce actionable insights. The process is as follows:
Data Cleaning and Preparation: Supaboard's AI Analyst cleanses and pre-processes the data automatically, which is exported and prepared for analysis.
Insight Generation: AI and advanced statistical models are used to detect trends, outliers, and correlations in the data.
Visualization: The insights are visualized in the form of simple-to-grasp dashboards that make complex results easy to comprehend.
Recommendations: Supaboard recommends optimizing operations, enhancing customer experiences, or increasing revenue depending on the analysis.
For example, an online business enterprise that uses ClickHouse can export sales data to Supaboard.ai. AI Analyst can uncover seasonal buying habits or identify losing product categories so that the enterprise can adjust its stock strategy.
Real-Life Case Studies: Advantages of Processing ClickHouse Data
The following case studies are not necessarily for Supaboard.ai, but they show how business enterprises gain from processing and extracting their ClickHouse data:
Case Study 1: Uber
Uber also employs ClickHouse for handling billions of rows of day-to-day trip data. Through such data exportation into third-party systems for additional analytics, Uber optimizes routes for drivers, minimizes waiting time for passengers, and increases operational efficiency.
Case Study 2: Cloudflare
Cloudflare employs ClickHouse to track network traffic patterns in real-time. They identify anomalies such as DDoS attacks in advance by scanning exported data externally and provide smooth service to their customers.
Case Study 3: eCommerce Platform
A certain company, which remained anonymous, utilizes ClickHouse for storing customer history of transactions. Exporting the data into analytical tools like Supaboard.ai allowed them to see customer segments that had a high churn rate. Based on this, they launched targeted campaigns that lowered churn by 15%.
Conclusion
ClickHouse is an optimization-focused database tool for querying and storing big data sets in an optimized manner. Companies, however, unleash its full potential by exporting the data for more intensive analysis. Supaboard.ai provides hassle-free ClickHouse data extraction along with state-of-the-art AI-driven analytics through its AI Analyst platform.
With Supaboard.ai:
Companies are freed from export time.
They receive actionable recommendations that inform strategic business decisions.
They turn raw data into growth potential.
Whether it's optimizing operations like Uber or anomaly detection like Cloudflare, Supaboard.ai can assist you in unlocking your ClickHouse datasets to monetize them into business value. You're ready to unlock your analytics to the next level? Start with Supaboard.ai today!