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IBM Streams vs StackStorm comparison

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IBM Streams

Read 5 IBM Streams reviews
674 views|593 comparisons
100% willing to recommend
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StackStorm

14 views|9 comparisons
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Buyer's Guide
Streaming Analytics
April 2024
Executive Summary

We performed a comparison between IBM Streams and StackStorm based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: April 2024).
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768,578 professionals have used our research since 2012.
Featured Review
Ahmed_Emad
A solution for data pipelines but has connector limitations
Quick deployments
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Questions from the Community
What is your experience regarding pricing and costs for IBM Streams?
Top Answer:The solution’s licenses pricing is different from one region to another region. I rate the solution’s pricing a seven out of ten.
What needs improvement with IBM Streams?
Top Answer:the limited number of connectors. This shall be overcome with work-arounds or eventually buying additional connectors to complete the solution.
What is your primary use case for IBM Streams?
Top Answer:We use the solution for data pipeline by modernizing the traditional ETL jobs done through advanced streaming. Another use case is building the g2g streaming platform, which facilitates data exchange… more »
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Ranking
15th
out of 38 in Streaming Analytics
Views
674
Comparisons
593
Reviews
1
Average Words per Review
447
Rating
7.0
39th
out of 51 in Workload Automation
Views
14
Comparisons
9
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
IBM InfoSphere Streams
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IBM
StackStorm
Overview
IBM Streams is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of data stream sources. The solution can handle very high data throughput rates, up to millions of events or messages per second. Streams helps you analyze data in motion, simplify development of streaming applications, and extend the value of existing systems.

StackStorm is a powerful open-source automation platform that wires together all of your apps, services and workflows. It’s extendable, flexible, and built with love for DevOps and ChatOps.

Sample Customers
Globo TV, All England Lawn Tennis Club, CenterPoint Energy, Consolidated Communications Holdings, Darwin Ecosystem, Emory University Hospital, ICICI Securities, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Living Roads, Mobileum, Optibus, Southern Ontario Smart Computing Innovation Platform (SOSCIP), University of Alberta, University of Montana, University of Ontario Institute of Technology, Wimbledon 2015
Cisco, Netflix, NASA, Cybera
Top Industries
VISITORS READING REVIEWS
Financial Services Firm23%
Computer Software Company15%
Comms Service Provider6%
Real Estate/Law Firm5%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise10%
Large Enterprise72%
No Data Available
Buyer's Guide
Streaming Analytics
April 2024
Download Free Report
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
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768,578 professionals have used our research since 2012.

IBM Streams is ranked 15th in Streaming Analytics with 5 reviews while StackStorm is ranked 39th in Workload Automation. IBM Streams is rated 8.2, while StackStorm is rated 0.0. The top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". On the other hand, IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Flink, Apache Spark and Apache NiFi, whereas StackStorm is most compared with Apache NiFi.

We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.