The intuitive interface allows us to easily consolidate our organic and paid channels into one user-friendly dashboard giving us an easy way to automate reports.
February 3, 2025
1) Big Data Readiness: Spotfire's outstanding built-in analytics are all disabled when working with in-DB data, Spotfire's expression language for calculations is not translated into the various data source's dialects but needs to be modified when going from in-memory to in-DB and temp tables (a must have for some big data queries with exploding IN clauses) is only supported for in-memory analyses. 2) Analytic capabilities (AI/ML): Spotfire's built-in analytics are do not scale (in-memory only) and are a bit outdated. Using in-house products like Team Studio as an in-DB and up-to-date extension to Spotfire fails due to insufficient integration. 3) Data Sources: when it comes to data sources and streaming there seems to be no way around an additional Streaming product from Tibco (Streambase) to connect to the de-facto standard Kafka. So if you have Kafka you need to buy and maintain yet another product to allow consuming the Kafka streams in Spotfire rather than having a direct Kafka connector.
November 27, 2023