SaaS ETL Tools pricing is broken. Too many businesses are stuck with platforms that charge by rows, gigabytes, or arbitrary metrics, pushing costs higher without delivering real value. It’s a model that inflates SaaS data costs, forcing companies to pay more for data that doesn’t always lead to better insights.
Managing large amounts of data can quickly become expensive, especially for companies using platforms like Google Analytics 4 (GA4) in Snowflake. Many ETL platforms charge based on the volume of data processed, leading to high costs without added business value. At Matatika, we offer a solution that helps you save up to 99.4% on GA4 costs while maintaining high performance. Here’s how our cost-based pricing model works, and why it's more effective than traditional ETL platforms.
Imagine a modern, centralised platform that integrates commercially supported ETL (extract, transform, load) connectors / plugins and reputable open-source ETL tools. This platform would streamline data management by unifying data from various sources, ensuring consistency and reliability. Not to mention, the fixing of any fundamental data accuracy issues in the process.
This blog aims to clarify what ETL has meant traditionally, and what modern ETL tools can do for operational efficiency and tech-ROI right now. We’ll also go over the key considerations to help you opt for a top set of tools, and importantly – the right partner...
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