A new Competitor for Google BigQuery?

Is Fivetran’s New Managed Data Lake Service for Google Cloud a Challenger to BigQuery?

Photo by Dorina Perry on Unsplash

Fivetran, best known for its automated data pipelines, announced its Managed Data Lake Service for Google Cloud Storage (GCS)[1]. The move promises to simplify how enterprises ingest, store, and prepare data for analytics and AI — but it also raises a big question: Can it replace Google’s flagship BigQuery and connected services like Data Catalog, Data Form and co?

What exactly is Fivetran’s managed Data Lake?

Fivetran’s Managed Data Lake Service enables organizations to stream structured and unstructured data from over 700 connectors directly into Google Cloud Storage. This data is automatically stored in open table formats like Apache Iceberg and Delta Lake, making it highly interoperable and analytics-ready. Unlike traditional ETL into a Data Warehouse, this service allows enterprises to build an open Data Lake architecture — one that is vendor-neutral, cost-efficient, future-ready and with key features like[1][2]:

• Broad connector support for easy ingestion from databases, apps, files, and more
• Automatic conversion to open formats (Iceberg, Delta Lake)
• Integration with BigQuery…