Which of the following is not a benefit of the Databricks Lakehouse Platform?

The Databricks Lakehouse Platform is designed to integrate the benefits of both data lakes and data warehouses, providing various advantages to users. One of the key features is its ability to allow seamless collaboration among data analysts, which enables teams to work together more efficiently and leverage shared insights.

The platform also ensures consistent results across different workloads, meaning that whether users are executing batch processing, streaming, or running interactive queries, the output remains reliable and accurate. Additionally, Databricks places a strong emphasis on security, offering robust mechanisms for secure access to data, allowing organizations to safeguard sensitive information while still enabling data accessibility for authorized users.

In contrast, the notion of limited scalability for small teams contradicts the foundational principles of the Databricks Lakehouse, which is built to handle large-scale data workloads. The architecture supports the needs of organizations of all sizes, from small teams to enterprise-grade solutions, making scalability one of its strengths rather than a limitation. Thus, the statement regarding limited scalability does not align with the benefits outlined by the Databricks platform.