After another round of G2 awards, Keboola is shining brighter than ever. This season, Keboola struck gold where it really counts: in customer service and satisfaction. With a world-class platform, we provide our users with the product and user experience they need to excel in their industry. Here’s a breakdown of the G2 awards featuring Keboola.

The ability to access, analyze and use information from multiple sources has been a key factor in modernizing manufacturing, resulting in more efficient processes, and improved economic success.

Our newest benchmark compares price, performance and differentiated features for Redshift, Snowflake, BigQuery, Databricks and Synapse.

While in the past, businesses used data to gain an edge over their rivals, in today’s competitive environment, data is imperative to stay in business. Modern businesses rely increasingly on data to manage all aspects of their operations, from everyday workflows to impacts on business strategy and customer interactions. As a result, data stacks have become extremely complex.

Nowadays most people in organizations understand how visibility into data adds overall value and there is a general dedication to be and remain data driven and increase overall data literacy. At the same time, sometimes there are limitations to how much organizations want to invest or augment their investment in data projects. It's important to make sure that companies have support across departments to budget appropriately for their data needs.

The query execution graph provides an intuitive interface with insights to help you understand, troubleshoot and optimize your BigQuery analytics queries.

Customers can solve marketing analytics, data governance and data sharing challenges with cross-cloud analytics.

Whether inflation, global conflict or supply chain disruption, 2022 has been full of significant events that have fundamentally impacted the business landscape. The undercurrent is an accelerating de-globalization process. But this isn’t just geo-political in nature; the re-distribution of power and fragmentation of data are inextricably linked. As a result, data-driven businesses are having to adapt to a more distributed world – fast.

Deliberations about defining your data approach often revolve around an offensive vs defensive data strategy. Here, an offensive strategy is focused on driving positive outcomes through increased revenues and profitability or by providing an enhanced customer experience. The primary objectives of an offensive data strategy are typically tailored to the product or business side of the organization, prioritizing AI and analytics use cases to drive superior commercial or financial outcomes.