Your Data Stack Just Got More Expensive. Your BI Doesn't Have To.

In June 2026, Fivetran and dbt Labs merged to form a $4.4 billion entity, significantly impacting the data industry by controlling both data ingestion and transformation for over 100,000 teams. This consolidation has raised concerns about increased costs and reduced flexibility for data teams, as the merger shifts incentives towards bundled pricing and ecosystem lock-in, with some Fivetran customers experiencing substantial price hikes. Across the data analytics landscape, prices are rising, as seen with Salesforce's 9% increase in Tableau prices and other BI tools like ThoughtSpot and Looker maintaining high costs. The BI layer presents an opportunity for optimization due to its lower switching costs compared to the ingestion and transformation layers. Preset, built on the open-source Apache Superset, offers a competitive alternative with a focus on avoiding cloud vendor lock-in, providing extensive database connectivity, and leveraging community contributions. The text emphasizes the importance of considering total cost of ownership and the potential savings offered by Preset compared to traditional proprietary BI tools, especially in a market where data infrastructure is becoming increasingly bundled and expensive.

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