Azure Stream Analytics Competitors and Alternatives

The top Azure Stream Analytics competitors are
Read reviews of Azure Stream Analytics competitors and alternatives
Real User
Senior Automation Test Developer/Automation Test Architect at a software R&D company with 51-200 employees
Jan 15 2018

What is most valuable?

We use AWS Function and Jenkins API to trigger the Jenkins job from the AWS CodePipeline. Since our automated deploy jobs are on AWS, and automated tests are on Jenkins. Then we can create the release pipeline including AWS and Jenkins and... more»

How has it helped my organization?

My automation test story is we moved from CircleCI to Jenkins, then to AWS. The benefit I can see is the maintenance and budget. Ops made this decision but it did not affect automation tests and the release pipeline too much, but I have seen... more»

What needs improvement?

1. Cannot checkout code from GitHub but Jenkins can. 2. No shell script supported. 3. CodePipeline cannot send notification to Slack, but we can use Slack API and Lambda Function.
Jul 11 2018

What do you think of Apache Spark?

Primary Use Case Used for building big data platforms for processing huge volumes of data. Additionally, streaming data is critical. • Improvements to My Organization It provides a scalable machine learning library so that we can train and predict user behavior for promotion purposes. • Valuable Features Machine learning, real time streaming, and data processing are fantastic, as well as the resilient or fault tolerant feature. • Room for Improvement I would suggest for it to support more programming languages, and also provide an internal scheduler to schedule spark jobs with monitoring capability. • Use of Solution Trial/evaluations only.
Real User
Software Engineer at a consultancy with 1,001-5,000 employees
Jun 11 2017

What is most valuable?

We are a research institution and use NiFi for its easy Java extensibility, built-in provenance capturing, and graphical web interface.

How has it helped my organization?

We are replacing a custom built Java data ingestion system that over time had become difficult to maintain and was brittle. NiFi allows us to organize our ingestion as the directed graphs and provides a useful GUI, that can be used to... more»

What needs improvement?

Most of our data is binary and we frequently must write our own processors. Also, there is no support for the stateful operations that require information from other data flows or look-up tables.

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