# 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 - Keboola ranks as the highest-rated mid-market data extraction tool in Europe by customer satisfaction on the G2 Winter 2026 Grid. - The G2 rating reflects European mid-market peers with 51-1,000 employees, making it directly relevant for similarly sized companies evaluating platforms. - Data extraction is just the starting point — teams use Keboola for end-to-end integration, transformation, orchestration, and governed data apps. 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: - Customer Satisfaction – ratings and feedback from users in Europe - Regional Market Presence – things like market share, company size, and overall visibility 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: - Pull structured, semi-structured, and unstructured data from many different sources - Collect data from databases, SaaS apps, APIs, files, and web sources - Export that data in usable formats so it can be cleaned, transformed, and analyzed 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**](/content/product/overview?utm_source=chatgpt.com). ### Why mid-market Europe specifically? This Grid® view is regional and segmented on purpose: - Only reviews from customers located in Europe are counted. - The Mid-Market segment means reviewers work at companies with 51 - 1,000 employees. 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: - **Connect everything in one place** Use [**hundreds of ready-to-use integrations**](/content/product/integrations?utm_source=chatgpt.com) to pull data from SaaS tools, databases, files, and more – without writing and maintaining custom scripts. - **Turn raw feeds into reliable pipelines** Design and orchestrate flows that extract, standardize, and route data where it needs to go with [**Keboola Flows**](/content/product/flow-builder?utm_source=chatgpt.com) and [**Transformations**](/content/product/transformation?utm_source=chatgpt.com) – including AI-assisted SQL/Python. - **Prepare data for analytics and AI** 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**](/content/product/agent/index.html). - **Put governed experiences in front of business users** Build interactive [**data apps**](/content/product/data-apps?utm_source=chatgpt.com) 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.