Likelihood to Recommend IBM Streams 2024

Overview

What is IBM Streams?

Recent Reviews

Great tool if you're looking for proof-of-concept real-time applications

9 out of 10

May 07, 2021

I use IBM Streaming Analytics as a data analytics tool for a graduate class for business students in my university's college of business. …

Nice streaming analytics tool

8 out of 10

February 15, 2019

Incentivized

It is being used by more than one department. Able to look at streaming data and enrich information and store information. It helps with …

Unique advantages for real time use cases

8 out of 10

February 14, 2019

Incentivized

Streams was considered for SENS IoT platform for analytics of real time data from mobile phones, WiFi access points and devices in …

IBM: Its Future is Growing

8 out of 10

February 14, 2019

Incentivized

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 …

Streaming Live analysis

9 out of 10

February 14, 2019

Incentivized

IBM Streaming Analytics is being used to analyze real time data. This is limited to the IT Department in analyses of logs and problem …

IBM Streams in the classroom

8 out of 10

April 05, 2018

Incentivized

I used IBM Streams to design a lab at a university used for analyzing streaming data from IoT devices. The students had to implement …

Streaming hot IBM review.

7 out of 10

March 30, 2018

Incentivized

Clusterization and compaction of customer data; used mainly by the department responsible for data preprocessing before further analysis.

Need tutorials for IBM Stream

7 out of 10

March 21, 2018

Incentivized

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 …

Stream Processing - Better Knowledge Faster

8 out of 10

March 19, 2018

Incentivized

IBM Streams allows me to solve problems for my clients that would be difficult, impossible, or too expensive to do with other …

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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

View all 9 features

Visualization Dashboards (5)
10.0
100%
Data Ingestion from Multiple Data Sources (5)
9.0
90%
Machine Learning Automation (5)
9.0
90%
Real-Time Data Analysis (5)
8.0
80%

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Pricing

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IBM Streams

N/A

Unavailable

What is IBM Streams?

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

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Alternatives Pricing

Striim

$4,400

per month per 100 million Striim events

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.

Azure Stream Analytics

$0.11

per hour with a 1 SU minimum

What is Azure Stream Analytics?

Microsoft offers Azure Stream Analytics for IoT and connected devices, supporting real-time analytics and reporting.

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Product Demos

Acquire, Analyze and Act in Real Time with IBM Streams

YouTube

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Features

Streaming Analytics

Streaming Analytics is performing analytic computations on streaming data. Data streams can come from devices, sensors, websites, social media, applications, infrastructure systems, and more.

8.3

Avg 8.1

8
Real-Time Data Analysis
(5) Ratings
Ability to analyze data in motion
10
Visualization Dashboards
(5) Ratings
Easy-to-understand pictorial illustration of data with graphs charts and dashboards
9
Data Ingestion from Multiple Data Sources
(5) Ratings
Ability to ingest data from many sources including Internet of Things (IoT) endpoint data, stock trading data etc, as well as static data
7.9
Low Latency
(3) Ratings
How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or data-point
8
Integrated Development Tools
(4) Ratings
Tools to allow developers to rapidly create streaming applications via a graphical user interface and selection of predefined functions and operators
8
Data wrangling and preparation
(4) Ratings
Tools to rapidly prepare data for analysis by normalization, data cleansing, etc.
7.7
Linear Scale-Out
(2) Ratings
Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions
9
Machine Learning Automation
(5) Ratings
Machine learning helps automate predictive scoring on streaming data
7
Data Enrichment
(4) Ratings
Ability to enrich the data stream with static reference data

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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.

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).

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Comparisons

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Reviews and Ratings

(62)

Reviews

(1-9 of 9)

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May 07, 2021

Great tool if you're looking for proof-of-concept real-time applications

Tsun Chow

Adjunct Professor

Roosevelt University (Higher Education, 1001-5000 employees)

Score 9 out of 10

Vetted Review

Verified User

Incentivized

Likelihood to Recommend

Great for end-user computing so that business professionals can try out different ideas firsthand for proof-of-concept experiments. Can be scaled up later by IT professionals. If you want to use other machine learning tools, IBM streaming is well integrated with other analytic services so that you don't have to leave IBM Watson Studio. Personally, I have not stressed testing real big data applications using this tool.

February 15, 2019

Nice streaming analytics tool

Verified User

Engineer in Information Technology

Hospital & Health Care Company, 10,001+ employees

Score 8 out of 10

Vetted Review

Verified User

Incentivized

Likelihood to Recommend

Like the name says, it is good for streaming data and analyzing. It is great to look at tuples at a fast rate, filtering, calling other sources to enrich data, can call APIs, etc. Could do better for ingest use cases, can do better with guaranteed delivery, etc.

February 14, 2019

Unique advantages for real time use cases

Verified User

Director in Research & Development

Computer Software Company, 11-50 employees

Score 8 out of 10

Vetted Review

Verified User

Incentivized

Likelihood to Recommend

Well suited for:
Healthcare emergency room acute condition onset detection
Machine failure and anomaly detection

February 14, 2019

IBM: Its Future is Growing

John Nguyen

Data Analyst

Aviation & Aerospace, 11-50 employees

Score 8 out of 10

Vetted Review

Verified User

Incentivized

Likelihood to Recommend

IBM Streaming Analytics is great for big data management.

February 14, 2019

Streaming Live analysis

Verified User

Administrator in Information Technology

Computer & Network Security Company, 51-200 employees

Score 9 out of 10

Vetted Review

Verified User

Incentivized

Likelihood to Recommend

IBM Streaming Analytics is well suited in cases where you have raw live data, the need to check data and react based on selected or identified metrics in a way to either prevent or take appropriate action in the way you would in a workflow process approver, reviewer scenario. Less appropriate for unrelated, random non patterned data

April 05, 2018

IBM Streams in the classroom

Verified User

Engineer in Research & Development

Higher Education Company, 1001-5000 employees

Score 8 out of 10

Vetted Review

Verified User

Incentivized

Likelihood to Recommend

Well suited to process data streams, especially if collected via other IBM services such as IBM IoT.

March 30, 2018

Streaming hot IBM review.

Verified User

Engineer in Information Technology

Market Research Company, 11-50 employees

Score 7 out of 10

Vetted Review

Verified User

Incentivized

Likelihood to Recommend

Well suited for distributed development and streaming data analysis if the tools provided are sufficient for the need of the developers.

Less appropriate - analysis of static data, complex analysis that is not covered by IBM tools, and security-sensitive data analysis.

March 21, 2018

Need tutorials for IBM Stream

Zhaoyan Lyu

MSc Student

UCL (Computer Networking, 11-50 employees)

Score 7 out of 10

Vetted Review

Verified User

Incentivized

Likelihood to Recommend

All kinds of IoT projects which require a runtime environment can take advantage of IBM Streams.

March 19, 2018

Stream Processing - Better Knowledge Faster

Jim Sharpe

President

Sharpe Engineering Inc (Computer Software, 1-10 employees)

Score 8 out of 10

Vetted Review

Verified User

Incentivized

Likelihood to Recommend

Streams is a good fit for situations requiring low end-to-end latency, have complex real-time analytical processing needs on large fast data, or where the reduction of operational costs is important. However, it is very much a data-in-motion technology and not well suited for situations such as some forms of machine learning where the entire historical data set needs to be operated on. Note that it's fairly common to use Streams to perform online scoring using models that were trained offline using other technologies.

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Acquire, Analyze and Act in Real Time with IBM Streams

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