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…
Recent Reviews
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
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
N/A
Unavailable
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…
Entry-level set up fee?
- Setup fee optional
For the latest information on pricing, visithttps://console.bluemix.net/catalog/ser…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
1 person also want pricing
Alternatives Pricing
What is Striim?
Striim is an enterprise-grade platform that offers continuous real-time data ingestion, high-speed in-flight stream processing, and sub-second delivery of data to cloud and on-premises endpoints.
What is Elecard StreamEye Studio?
Elecard StreamEye - a software tool for professionals in the video compression field. It enables in-depth bitstream analysis to macroblock level, codec parameters inspection. MPEG-1, MPEG-2, AVC/H.264, HEVC/H.265, AV1, VP9, VVC (preview version). Finding an issue in the elementary stream that may…
Product Demos
Acquire, Analyze and Act in Real Time with IBM Streams
YouTube
Features
Return to navigation
Product Details
- About
- Integrations
- 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 Enterprises (1,001+ employees).
Comparisons
Compare with
Reviews and Ratings
(62)Reviews
(1-9 of 9)Companies can't remove reviews or game the system. Here's why
- Low learning curve for non-programmers
- Accessible to big data platform
- Accessible to other data analytic services under one roof
February 15, 2019
Nice streaming analytics tool
- Has been able to help us with streaming analytics easily
- Different toolkits and operators help for easier development
- Would like to see some provenance capability added
February 14, 2019
Unique advantages for real time use cases
- Awesome product for some really difficult use cases
- Reduces storage requirements
- Makes writing rules easy
February 14, 2019
IBM: Its Future is Growing
- Makes it quick
- Saves my company a lot of money
February 14, 2019
Streaming Live analysis
- Ability to do more with less
- Admins and data analyst can now focus on more thinking tasks
- No negative impacts yet
April 05, 2018
IBM Streams in the classroom
March 30, 2018
Streaming hot IBM review.
- Wasn't able to estimate during the usage time.
March 21, 2018
Need tutorials for IBM Stream
- It provides easy internet service via IBM cloud
- But still need more functions, and tutorials
March 19, 2018
Stream Processing - Better Knowledge Faster
- Historically Streams has allowed me to solve problems for clients that simply could not have been addressed using any other means. So the business benefit was actually being able to provide a solution to very challenging requirements. However, the relatively recent proliferation of stream processing platforms means there are now more options available that might meet the desired requirements.
- IBM Streams was a critical component in a data science processing pipeline allowing us to identify a potential biomarker in EEG recordings indicating whether traumatic brain injury patients are at risk for developing post-traumatic epilepsy. This is important for identifying which patients should or should not be included in drug studies.
- Another successful project employed Streams as part of a pipeline for detecting and classifying sources in underwater acoustic data. Compared to other methods the approach had very high simultaneous levels of both sensitivity and discrimination. It also had the significant benefit of being able to detect signals which had not previously been observed.