Company Overview

About Keboola

Keboola Details

Founded

2008

Revenue

$8M

Funding

$37M

Team Size

150

What SIA Thinks

Keboola is a platform designed to make data management effortless for businesses of all sizes. Think of it as a tool that helps you organize, process, and analyze your data in one place without the usual headaches.

Imagine you have lots of different data sources – spreadsheets, databases, apps, or even online services like Google Analytics. Instead of handling these scattered pieces independently, Keboola brings them all together into a central hub. This means you can easily mix and match data from different places to get a complete picture of your business.

One of the neat features of Keboola is that it simplifies the tricky parts of data handling. For instance, it takes care of cleaning up messy data, so you don't have to waste time sorting through errors or inconsistencies. It also has tools that allow you to transform your data into useful formats with just a few clicks.

Collaboration is another strong suit for Keboola. Teams can work together more smoothly since everyone has access to the same data and tools, eliminating the confusion often caused by working with isolated data sets. Plus, it helps ensure that the data remains secure and accurate throughout the process.

On top of that, Keboola supports integration with various business intelligence tools, allowing you to create insightful reports and dashboards easily. This means you can turn raw data into meaningful insights that aid decision-making.

In essence, Keboola acts as your data assistant, handling the heavy lifting so you can focus on what matters – making informed decisions that drive your business forward. Whether you're just starting to get a grip on your data or looking to streamline your existing processes, Keboola offers a user-friendly way to manage it all in one place.

Metrics History

7/22 - 4/24

Trending up by 5.2% this month
Showing teamSize history

Pros and Cons

Pros

  • User-friendly interface
  • Collaborative tools
  • Multiple data connectors
  • Time-saving features
  • Scalable platform

Cons

  • Limited support
  • Feature limitations
  • Complex setup
  • Learning curve
  • Costs add up

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