Spotfire with TERR and Python
July 30, 2018
Spotfire with TERR and Python
Score 9 out of 10
Vetted Review
Verified User
Software Version
Spotfire Platform
Overall Satisfaction with TIBCO Spotfire
We use Spotfire in many ways. Primarily, it is a fast data wrangling tool that lets you dig through and visualize data very quickly. Our team, in particular, uses it to look at oil and gas production data. In addition, we use Python and R in the backend to build more advanced applications.
Pros
- Automating building decline curves for oil and gas wells.
- Reading and writing to and from Oracle database with Python or information links within Spotfire.
- Looking at competitor data across the Permian Basin. Utilizing IHS data to see every well in the Permian Basin.
Cons
- Spotfire’s TERR and bass R are not totally compatible, especially for CRAN packages.
- IronPython does not run transactions sequentially which can make development difficult.
- IronPython API reference material is terrible and of virtually no use.
- General bugs with Spotfire itself. Example: restarting Spotfire can cause certain things to start working sometimes.
- Self-taught
There is a tough learning curve to overcome to use Spotfire. Being self-taught, it took me a couple of weeks to have any idea what I was doing. Becoming “good” took about a year and an expert took about 3 years.
No integration.
Comments
Please log in to join the conversation