IBM Streaming Analytics is available on IBM Cloud. Streaming Analytics is built upon the IBM Streams technology. Streams is an advanced analytic platform allowing user-developed applications to quickly ingest, analyze, and correlate information as it arrives from a wide variety of real-time sources. The Streaming Analytics service gives you the ability to deploy Streams applications to run in the IBM Cloud. This roadmap helps you get started and learn about the IBM Streaming Analytics Service.

Step 1 – Learn about Streams

If you are new to Streams, please take some time to learn about the Streams technology. If you already have experience with Streams, please move to the next step.


Step 2 – Learn about the Streaming Analytics Service

Please read this quick introduction to the Streaming Analytics Service.


Step 3 – Run a Sample

There are a number of sample applications you can use to learn about the Streaming Analytics service. Please run one or more of the samples below that most closely match your intended use of the Streaming Analytics service.

Deploy the stock trades starter application

This is a simple application that is ready to be deployed to the Streaming Analytics service. You do not have to write any code or install any software.

To try it, download the application file from GitHub, and then watch this video to see how to:

  • Create an instance of the Streaming Analytics Service (00:22)
  • Run the starter application in the service (00:56)
  • See the actual data being processed by an application (02:13)
  • Look at the applications logs and any data printed to stdout/stderr (03:17)


End-to-End Starter Applications

Deploy an end-to-end starter application to the cloud if you want to explore how to use Streaming Analytics in the context of a larger application that uses any of the other languages and services available in the IBM Cloud.

EventDetection Starter (compatible with V1 and V2 price plans)

The EventDetection starter application uses the SDK for Node.js runtime in the IBM Cloud. EventDetection uses the Streaming Analytics service to detect simple and complex events in a Stream of real-time weather data.

Article: Streaming Analytics Event Detection Starter Application

NYCTraffic Starter (compatibe with V1 price plans only)

The NYCTraffic starter application uses the Liberty for Java runtime in the IBM Cloud. NYCTraffic uses the Streaming Analytics service to analyze a real-time feed of road speeds.

Article: Streaming Analytics Starter Application

Other Streams Application Samples

Run additional Streams application samples to further explore Streams apps in the cloud. Use the link below to access a wide variety of sample applications. Click on the link and search for “Bluemix” to find the samples that are can be deployed in the cloud.

IBMStreams/samples Github project

Step 4 – Learn More about Developing Streams Applications for the Cloud

See the Streaming Analytics Development Guide for a comprehensive description of how to develop and deploy applications to the Streaming Analytics service. The development guide features a sample Streams application that analyzes Twitter data and step-by-step instructions for completing tasks that are part of the application development life cycle.

If you have an existing Streams application that you would like to deploy to the cloud, see Getting your SPL application ready for the cloud.


Step 5 – Learn about Integrating with other IBM Cloud Services

A variety of tutorials and resources are available to help you use the Streaming Analytics service with other IBM Cloud services.


Integrating with Cloudant and many other RESTful Services

Connect Streaming Analytics to your Enterprise Data using Secure Gateway


Getting Started with Streaming Analytics and Message Hub

Watson IoT / Internet of Things Platform

Demo: IoT Device Events to Streaming Analytics in 15 Minutes

Demo: Using Apache Edgent, Watson IoT, and Streaming Analytics to Create a Smart Sprinkler

Tutorial: Watson IoT Recipe: Integrate IBM Streaming Analytics Service with Watson IoT Platform

Tutorial: Connect Apache Edgent running on Raspberry Pi to the Streaming Analytics service


Integrating Streaming Analytics with HDFS on IBM Cloud

Integrating Streaming Analytics Service with HBase on IBM Cloud


Using Streaming Analytics with JDBC-enabled Databases in IBM Cloud

Integrating with Cloudant and many other RESTful Services

Predictive Analytics

Support for SPSS Analytics Toolkit in the Streaming Analytics Service

File-based Data Sources

The Streams ObjectStorage Toolkit can be used to integrate your Streaming Analytics application with the Object Storage service in IBM Cloud.


Step 6 – Taking Care of your Streams Application in the Cloud

If you have a Streams application running in the Streaming Analytics service, it is most likely one that runs continuously – 24 hours a day and 7 days a week. But how can you make sure that your application is running normally? See Monitoring Your Streams App in the IBM Cloud using the Streams REST API to learn how you can programmatically assess whether your app is operating normally and extract valuable metrics about its execution.

5 comments on"Roadmap for Streaming Analytics Service on IBM Cloud"

  1. Samantha Chan September 01, 2015

    Thanks very much! Fixed.

  2. YuanChiChang October 29, 2015

    Hi Samantha, I find this Roadmap page to be very relevant and useful! Thank you.
    Do you plan to showcase an example of connecting Streaming to BlueMix Twitter services? I believe many Streams developers are eager to see the coding pattern to make it happen. Can Twitter service send data directly over to Streams or it has to go through Liberty for Java?
    The DashDB team created an example to query Twitter archive first and load matched tweets into DashDB. Unfortunately, the flow has to go through Liberty rather than real-time ingestion. So I am curious if Streams can take in live Twitter data directly.

    • Samantha Chan October 29, 2015

      Hi there –
      Thanks for the suggestion. Streams can ingest data directly from Twitter. We have an open-source toolkit here that demonstrates how to do that: However, we have not tried hooking up the Blumix Twitter services. This is something very interesting, and we should definitely try it out. I will pass this idea along to the Bluemix Team and see what we can do.

  3. Hi Samantha,
    Is there any possibility of taking live Instagram data for streaming purpose by using bluemix services

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