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Most Commonly Used Data Analysis Tools in Korean Tech Companies

Data plays a crucial role in how tech companies in Korea operate, whether it's for tracking user engagement, product performance, or business growth.

But the tools companies use? That depends on their size, resources, and specific needs.

In this post, we’ll break down the most commonly used data analysis tools in Korean tech, from widely adopted industry standards to newcomers gaining traction.

Widely Adopted Tools

These are the go-to data tools for almost all companies, especially because they are cost-effective, flexible, and essential for product teams.

🔹 Google Analytics

A free web analytics tool that tracks website traffic, user behavior, and product performance.

📌 Why is it popular?

  • It’s free and still provides pretty solid data on key product stats.
  • Almost every company, even non-tech teams, uses it.

🔹 SQL & Python

While not a service or product, SQL and Python are fundamental tools used to query databases and analyze data directly.

📌 How is it used?

  • Many companies just pull data straight from their own database instead of relying on an external tool.
  • PMs and POs often learn basic SQL and Python to compensate for the lack of dedicated data teams.

💡 Limitation? If no one on the team knows how to write queries, data extraction becomes a bottleneck.

🔹 Google BigQuery

A serverless data warehouse that enables fast and scalable SQL queries across large datasets.

📌 Why do companies use it?

  • Works as an extension of SQL & Python for more complex data analysis.
  • It’s highly scalable, making it ideal for larger companies with big data needs.

Tools Gaining Popularity

These tools are becoming more common in Korea’s tech scene but are still in the adoption phase.

🔹 Amplitude

A product analytics platform designed to help teams track user engagement, retention, and conversion.

📌 Why is it growing?

  • Easy to use—lowers the barrier for teams to start analyzing data.
  • Great for PMs & Growth teams who don’t have dedicated data analysts.

💡 Downside? It’s expensive. Many startups hesitate because of the pricing.

🔹 Tableau

A data visualization tool that turns raw data into interactive dashboards and reports.

📌 Why is it gaining traction?

  • Helps make data more accessible to non-technical teams.
  • More people are learning it—books, courses, and training sessions are popping up in Korea.

💡 Barrier? Learning curve is steep. Unlike Amplitude, Tableau takes time to master—which is why many teams hesitate to adopt it.

Less Commonly Used Tools

These tools are mentioned in discussions, but actual adoption is limited.

🔹 Mixpanel

A user analytics tool that helps track event-based user interactions in web and mobile apps.

📌 Reality check?

  • It gets mentioned in conversations, but I have yet to meet anyone who actually uses it.
  • Amplitude seems to have taken over as the preferred product analytics tool in Korea.

🔹 Hackle (Korean Service)

A local alternative to Amplitude, originally built for A/B testing but expanding into data analysis.

📌 What’s it like?

  • Very similar to Amplitude, both in features and user experience.
  • Started off as a CRM-focused service but is now growing into a broader analytics platform.

💡 The challenge? It’s still less recognized than Amplitude or Google Analytics.

Adoption Trends Based on Company Size

What tools a company uses often depends on its size.

🔹 Large Companies (50+ Employees)

  • Dedicated data teams (data scientists & analysts)
  • Use a mix of multiple tools, including Amplitude, Tableau, and SQL-based queries
  • More focus on in-depth analytics & predictive modeling

🔹 Small to Medium-Sized Startups

  • No dedicated data team → PMs, POs, and engineers handle data work
  • Rely on Google Analytics, SQL, and easy-to-use tools like Amplitude
  • Focus is on quick insights rather than deep analysis

💡 Key takeaway?
     Smaller teams prioritize tools that are easy to use, while larger companies invest in more advanced data infrastructure.

Conclusion

The Korean tech industry is evolving when it comes to data analysis tools.

Stay tuned for more PMLife in Korea! 🚀

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Location: 대한민국 서울특별시

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