Nice streaming analytics tool
February 15, 2019
Nice streaming analytics tool
Score 8 out of 10
Vetted Review
Software Version
Streams (On-Premises Version)
Overall Satisfaction with IBM Streaming Analytics
It is being used by more than one department. Able to look at streaming data and enrich information and store information. It helps with the problem of looking at live data and being able to filter and make calls. Like the ability to be able to read from various sources and be able to write to many as well.
- It does really well with running a job, provides flexible ways of increasing parallelism, fusion
- It provides a good number of operators and toolkits
- It provides being able to use the Streams runtime using Java and Python
- Exception handling needs improvement, not able to catch exceptions and save data or send to a different flow
- Would like to see some alerting operators
- Would like to see some healthcare HL7 related operators
- Has been able to help us with streaming analytics easily
- Different toolkits and operators help for easier development
- Would like to see some provenance capability added
We are using Spark streaming as well as Storm for streaming options. Currently streams provides a better way of building applications easier faster and run efficiently. Also like the flexibility it provides with both us and SPL.