Streaming Analytics Features

Read what people say are the most valuable features of the solutions they use.
Ken Ramirez says in a Spring Cloud Data Flow review
Senior Digital Architect at a manufacturing company with 501-1,000 employees
The ability to offer a graphical environment in order to visualize the stream is extremely important. It not only helps to see how the stream is composed but also helps to share those ideas and flows with other members of your team. The simplicity of using off-the-shelf components that plug into the data flows is also very valuable, as this helps to reduce the time you’ll need to spend reinventing the wheel and creating those common patterns. The ease of developing custom components that can plug into the ecosystem is also extremely valuable. View full review »
Tristan Bergh says in a Databricks review
Data Scientist at a consultancy with 10,001+ employees
Immense ease in running very large scale analytics, with a convenient and slick UI. This saved us from having to tweak, tune, dive into deeper abstractions, get involved in procurement, and also having to wait for other workloads to run. The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly. The Delta data format proved excellent. Databricks had already done the heavy lifting and optimized the format for large scale interactive querying. They saved us a lot of time. View full review »
Miran Arh says in an Azure Stream Analytics review
Assistant Director - IT Governance Support at a insurance company with 1,001-5,000 employees
Our biggest pain point is our housekeeping. We have lot of systems, we must do a lot of configurations and, because of the number of systems is not a simple part of the job, we may forget something. This solution is something which reminds us of what should we do, what stuff is most critical, what we should work on. View full review »
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