IBM Streams Valuable Features
The ability to quickly develop applications which reliably process very large volumes of time series sensor data with low latency is a critical need for us.
Although, there is a rich and growing set of available tool kits that provide specialized functionality, the time series tool kit is especially important. When used for what it was designed specifically to do, which is to process large amounts of data in motion with low latency, it is very good.
View full review »The scalability and user experience are the most valuable features for us. We have top-tier hospitals using IBM Streams for healthcare analytics.
View full review »- Velocity of data processing
- Scalability
- One Platform: Has different source connectors, sync connectors, and toolkits
- Enables the possibility to create one's own special toolkit.
For instance, a Coherence Java connector toolkit
Buyer's Guide
Streaming Analytics
April 2024
Find out what your peers are saying about IBM, Confluent, Google and others in Streaming Analytics. Updated: April 2024.
768,246 professionals have used our research since 2012.
Easy development and deployment. Java implementation features. Also the real time analyser and alarm function.
View full review »Buyer's Guide
Streaming Analytics
April 2024
Find out what your peers are saying about IBM, Confluent, Google and others in Streaming Analytics. Updated: April 2024.
768,246 professionals have used our research since 2012.