Keboola named a Leader on the G2 Mid-Market Europe Grid® for Data Extraction

Keboola named a Leader on the G2 Mid-Market Europe Grid® for Data Extraction

Karolína Everlingová
Product Marketing Manager
9 Dec 2025 · 3 min read

Key Takeaways

You don’t wake up caring about badges.

You care about data that’s actually extractable, pipelines that don’t fall over, and teams that aren’t stuck copy-pasting CSVs.

Still, it’s good when the market validates that.

In the Europe Grid® Report for Data Extraction | Winter 2026, Keboola is a Leader on the Mid-Market Europe Regional Grid® for Data Extraction.

That makes Keboola the highest-rated mid-market data extraction tool in Europe by customer satisfaction, with the most reviews on the grid.

See Keboola on the G2 Grid®

This Mid-Market Europe Regional Grid® shows how tools in the Data Extraction category compare, based on:

Mid-Market G2 Grid® for Data Extraction Tools | Winter 2026

Keboola appears in the Leader quadrant, based entirely on the voice of real mid-market customers in the region.

What does “Data Extraction” actually cover?

In G2's language, data extraction tools help you:

In other words, plug in your data from everywhere it lives today (mess of databases, SaaS tools, files, and streams), and get it into a shape your business and AI use cases can actually work with.

With Keboola, that’s the first step in a bigger story. From extraction to integration, transformation, orchestration, and data apps – all in one platform.

If you want the full story, you can deep-dive into the Keboola AI & Data Platform overview.

Why mid-market Europe specifically?

This Grid® view is regional and segmented on purpose:

So if you’re a mid-sized European company, this Grid® reflects peers who look a lot like you - same region, similar scale, similar problems.

How teams use Keboola for data extraction

Data extraction is just the starting line. Here’s how teams typically use Keboola in this space:

Use hundreds of ready-to-use integrations to pull data from SaaS tools, databases, files, and more – without writing and maintaining custom scripts.

Design and orchestrate flows that extract, standardize, and route data where it needs to go with Keboola Flows and Transformations – including AI-assisted SQL/Python.

Clean, join, and model data directly in Keboola so it’s ready for BI dashboards, reverse ETL, machine learning, or agentic workflows. Check Keboola Agents.

Build interactive data apps on top of extracted data – internal tools, workflows, and AI experiences that run inside the same governed platform.

So yes, the report is “about Data Extraction tools” – but the grid placement reflects teams who are using Keboola as the backbone for their broader data and AI stack, not just a scraper.