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G2 recognized Keboola
Keboola

By Keboola

4.6 out of 5 stars

How would you rate your experience with Keboola?

Keboola Pricing Overview

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Keboola Pricing Reviews

(2)
Verified User in Internet
UI
Mid-Market (51-1000 emp.)
"Enabling small agile data teams"
What do you like best about Keboola?

It took me just under one week to learn just enough so I could make my own data pipelines without a team of data and analytical engineers. Ease of use enabled our micro team of two to cover data needs of entire company. Review collected by and hosted on G2.com.

What do you dislike about Keboola?

Currently there is nothing to dislike. Keboola is being continuously developed and improved. Review collected by and hosted on G2.com.

Response from Martin Lepka of Keboola

Hi there,

Thank you so much for your thoughtful review! It's fantastic to hear how quickly you've been able to independently build your data pipelines and support your company's entire data needs with Keboola—exactly what we aim to empower. We're especially glad that our ease of use helps your small team stay agile and focused on delivering value. If you ever see areas where we could further enhance your experience, please don't hesitate to share. Happy data wrangling! ML

Verified User in Retail
AR
Enterprise (> 1000 emp.)
"Easy to use, fast development"
What do you like best about Keboola?

It is easy to use. It has lot of native tools, that can be used from scratch. Very easy to create data pipelines and orchestrations. Review collected by and hosted on G2.com.

What do you dislike about Keboola?

Keboola lacks flexibility of doing additional optimizations on speed and cost of transformations. So when your organization is bigger and you spent much more money on using Keboola, there is limited amount of things you can do to optimize. Review collected by and hosted on G2.com.

Response from Martin Lepka of Keboola

Hi there,

Thanks for the review! We’re glad to hear Keboola makes it easy for you to build pipelines and orchestrate data quickly.

We appreciate the feedback on optimization — it's a fair point, especially for growing teams. We're actively working on giving users more control over performance and cost tuning, so stay tuned.

Thanks again for trusting us with your data operations! ML

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