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Evolven vs IBM Streams comparison

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Evolven Logo

Evolven

Read 1 Evolven review
137 views|64 comparisons
100% willing to recommend
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IBM Streams

Read 5 IBM Streams reviews
674 views|593 comparisons
100% willing to recommend
Comparison Buyer's Guide
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Buyer's Guide
IT Operations Analytics
April 2024
Executive Summary

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

Find out what your peers are saying about Splunk, New Relic, Devo and others in IT Operations Analytics.
To learn more, read our detailed IT Operations Analytics Report (Updated: April 2024).
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Featured Review
Michael Feusi
Provides visualization of risk levels. However, alerting needs improvement.
* It gives insights into a changing landscape, which was not possible before. * It facilitates infrastructure readiness and consistency.
Ahmed_Emad
A solution for data pipelines but has connector limitations
Quick deployments
report
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Questions from the Community
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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 »
Ranking
16th
out of 30 in IT Operations Analytics
Views
137
Comparisons
64
Reviews
0
Average Words per Review
0
Rating
N/A
15th
out of 38 in Streaming Analytics
Views
674
Comparisons
593
Reviews
1
Average Words per Review
447
Rating
7.0
Comparisons
Also Known As
IBM InfoSphere Streams
Learn More
Evolven
IBM
Overview
Change and configuration management software with configuration changes tracking, audit trail reports, changes filtering and grouping.
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.
Sample Customers
Aegon, Barclays, Chubb, Deloitte, DLL, HP, Huber, imshealth, ING, JPMorgan Chase, Moody's, Quintiles, Southboro Medical Group, Tullet Prebon, VSE Corporation, Western Union
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
Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm23%
Computer Software Company15%
Comms Service Provider6%
Government6%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise10%
Large Enterprise72%
Buyer's Guide
IT Operations Analytics
April 2024
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767,667 professionals have used our research since 2012.

Evolven is ranked 16th in IT Operations Analytics while IBM Streams is ranked 15th in Streaming Analytics with 5 reviews. Evolven is rated 7.0, while IBM Streams is rated 8.2. The top reviewer of Evolven writes "Provides visualization of risk levels. However, alerting needs improvement". On the other hand, the top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". Evolven is most compared with , whereas IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Flink, Apache Spark and Apache NiFi.

We monitor all IT Operations 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.