Great tool if you're looking for proof-of-concept real-time applications
I use IBM Streaming Analytics as a data analytics tool for a graduate class for business students in my university's college of business. …
Overview
What is IBM Streams?
A real-time analytics solution that turns fast-moving volumes and varieties into insights. Streams evaluates a broad range of streaming data — unstructured text, video, audio, geospatial and sensor — helping organizations spot opportunities and risks as they happen.Its Eclipse-based, visual…
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Popular Features
- Visualization Dashboards (5)10.0100%
- Data Ingestion from Multiple Data Sources (5)9.090%
- Machine Learning Automation (5)9.090%
- Real-Time Data Analysis (5)8.080%
Pricing
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What is IBM Streams?
A real-time analytics solution that turns fast-moving volumes and varieties into insights. Streams evaluates a broad range of streaming data — unstructured text, video, audio, geospatial and sensor — helping organizations spot opportunities and risks as they happen. Its Eclipse-based, visual…
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- Free/Freemium Version
- Premium Consulting/Integration Services
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Acquire, Analyze and Act in Real Time with IBM Streams
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Product Details
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- Competitors
- Tech Details
- FAQs
What is IBM Streams?
A real-time analytics solution that turns fast-moving volumes and varieties into insights. Streams evaluates a broad range of streaming data — unstructured text, video, audio, geospatial and sensor — helping organizations spot opportunities and risks as they happen.
Its Eclipse-based, visual IDE lets solution architects visually build applications or use familiar programming languages like Java™, Scala or Python. Data engineers can connect with virtually any data source — whether structured, unstructured or streaming — and integrate with Hadoop, Spark and other data infrastructures.
Its Eclipse-based, visual IDE lets solution architects visually build applications or use familiar programming languages like Java™, Scala or Python. Data engineers can connect with virtually any data source — whether structured, unstructured or streaming — and integrate with Hadoop, Spark and other data infrastructures.
Built-in domain analytics — like machine learning, natural language, spatial-temporal, text, and acoustics — create adaptive stream applications.
IBM Streams Integrations
- Watson IoT Platform
- IBM Cloudant
- IBM Event Streams (formerly Message Hub)
IBM Streams Competitors
- Azure Stream Analytics
- Amazon Kinesis
- Spark Streaming, Storm
IBM Streams Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
| Supported Countries | United States, United Kingdom, Australia, Germany |
| Supported Languages | English, French, German, Italian, Japanese, Korean, Portugese/Brazil, Spanish, Chinese simplified, Chinese traditional |
Frequently Asked Questions
Azure Stream Analytics and Amazon Kinesis are common alternatives for IBM Streams.
Reviewers rate Visualization Dashboards highest, with a score of 10.
The most common users of IBM Streams are from Small Businesses (1-50 employees).
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Reviews and Ratings
(62)Reviews
(1-5 of 5)Companies can't remove reviews or game the system. Here's why
I use IBM Streaming Analytics as a data analytics tool for a graduate class for business students in my university's college of business. It is used as a tool to teach big data analysis for data in motion. These students have no prior programming experience. The tool offers a visual programming interface that is very intuitive to learn so the user can focus more on business applications. After only one tutorial session, students are able to use the tool in building an application for monitoring the bike distractions in the city of Chicago using DIVVY datasets. It is a part of a class business project for improving business shares and efficiency for DIVVY.
- Intuitive Visual Programming Interface
- Integration with other analytics via Watson Studio
- Very vibrant user communities for sharing ideas for applications
- Can use more default settings for some of the parameters
- Include more tutorials for cross-data analytic services applications
65.55555555555556%
6.6
- Low learning curve for non-programmers
- Accessible to big data platform
- Accessible to other data analytic services under one roof
There are well explained tutorials to get the user started. If you are looking for business application ideas, the user community offers a diversity of applications. It is very easy to launch applications on the cloud and can integrate with other analytic tools available on Watson Studio. It takes away the burden of the technology so that users can focus on business innovations.
February 14, 2019
Unique advantages for real time use cases
Streams was considered for SENS IoT platform for analytics of real time data from mobile phones, WiFi access points and devices in Sensitel SENS platform. We used the on premise version and evaluated the cloud version as well.
- Query analysis of real time streaming data
- Filter out events based on time windows
- Scalability for large scale data, production tested
- Integration with big data
- Ability to write complex business rules
- Interface and packaging
64.44444444444444%
6.4
- Awesome product for some really difficult use cases
- Reduces storage requirements
- Makes writing rules easy
Coral8, some open source tools
February 14, 2019
IBM: Its Future is Growing
I am currently working as a Data Analyst for ATG travel group. We are currently moving our database to IBM Cloud. I am using Streaming Analytics to pull the data from the cloud and manipulating the data to answer research questions. Streaming Analytics will also be able to help my company to make dashboards from the data that I will be using.
- User friendly
- Works pretty quick
- Shows how data are transported
- User interface. Takes time to get used to.
31.11111111111111%
3.1
- Makes it quick
- Saves my company a lot of money
Well, I recently got hired 3 weeks ago and am still exploring IBM Streaming Analytics. What I heard is that it is much better than its competitors.
February 14, 2019
Streaming Live analysis
IBM Streaming Analytics is being used to analyze real time data. This is limited to the IT Department in analyses of logs and problem determination, analysis and resolution. Error logs are redirected to a stream of text DISK_ERRx (X, can be 1, 2, 3, or 4). Errors are either temporary or permanent. We are able to address the problem of determining and grouping errors into classes.
- Streaming is able to perform analytics operations and pattern detection in real time on real-time data from multiple systems or sources.
- IBM Streams allows for the ability to program and link to IDE for collaboration with other applications
- Integration with Business Process Automation
- Cost and platform availability
- Integration with cognitive decision making and execution
- Improvement in Graphical user interface
74.44444444444444%
7.4
- Ability to do more with less
- Admins and data analyst can now focus on more thinking tasks
- No negative impacts yet
March 21, 2018
Need tutorials for IBM Stream
I'm using IBM DSx, which is now known as Watson Studio. Honestly speaking, this platform is updating quite often, which make it hard to learn all functions. IBM Streams is one of them and I haven't figured out all possibilities it got. And tutorials are rather hard to find and some tutorials are out of date. I hope there could be more tutorials for different application examples.
- Connection to other functions
- Visualized interface
- Accessible anywhere via browser
- Lack of supporting material
- Frequent update
- It provides easy internet service via IBM cloud
- But still need more functions, and tutorials
- Watson Studio, Notebook and Node-Red
Basically, I am building an IoT project. IBM cloud is a great platform for connecting all kinds of functions and make it work. To me, IBM Streams is just one of them. Any IoT project is custom made. So engineers have to think carefully how to use least resources to make the system work, especially when it comes to renting service on the clouds. Thus, it would be great if you can provide an expense compare interface, where it lists the charge of all kinds of service.