Interana is *very* fast compared to other BI platforms. It's ideal for event-based data philosophies, where it can chew through billions of raw events in only a few seconds. Its UX is straightforward enough that non-technical users can easily answer relatively complicated questions that would require heavy SQL on other platforms
What do you dislike?
Interana has some limitations. Metrics, cohorts, and funnels are created as per-actor properties, only able to be calculated on your dataset's shard keys. For most implementations, this would be some form of user ID, meaning that most metrics can only be built per-user basis. This does cover most questions, but you wouldn't be able to, for example, build a funnel to follow a given transaction ID from start to finish.
The UI/UX sits in a peculiar gray area where it requires some training and knowledge to use, but is not designed for true powerusers. As an example, the API is usually more difficult than making HTTP requests and scraping results.
What problems are you solving with the product? What benefits have you realized?
Interana has allowed PMs and other non-technical users to find the answers to their own product questions and track their own top-level metrics without needing to muck about in SQL or SQL-adjacent queries.
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