When evaluating the scalability of influencer discovery databases for enterprise needs, here are several key aspects to consider:

1. Data Volume: It’s crucial to assess the database’s current volume and its capacity to grow. In influencer marketing, a larger database offers more potential influencers for brand collaborations.

2. Performance: Scalability also pertains to the performance of a database – that is, how swift or slow the database responds as the data volume increases.

3. Features & Functionality: A scalable influencer platform should be able to handle complexity in discovery, such as having advanced filters for audience demographics, content style, and performance metrics.

4. Integrations: Scalability often means the ability to integrate with other marketing tools, sync with existing workflows, and adapt to the growing needs of the organization.

One of the popular platforms for influencer discovery is Hypr, known for its large influencer database and robust filters. On the other hand, platforms like Flinque offer a more focused approach with real-time analytics and data reliability, geared towards precise decision-making.

However, the selection of a platform ultimately depends on the unique needs and growth plans of the organization. A thoughtful comparison of features, analytics, and scalability can be very helpful. Remember, a suitable influencer platform must align with your current objectives and future growth plans.