Compare IBM Streams vs. Splunk

IBM Streams is ranked 5th in Streaming Analytics while Splunk is ranked 1st in Security Information and Event Management (SIEM) with 58 reviews. IBM Streams is rated 0, while Splunk is rated 8.8. On the other hand, the top reviewer of Splunk writes "Its AMIs make it easy to spin up a Splunk cluster or add a new node to it". IBM Streams is most compared with Apache Spark, Apache NiFi and Apache Storm, whereas Splunk is most compared with IBM QRadar, Dynatrace and Graylog.
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IBM Streams Logo
2,523 views|1,859 comparisons
Splunk Logo
94,863 views|76,636 comparisons
Most Helpful Review
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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pricing and Cost Advice
Information Not Available
Splunk is really expensive.Splunk should be able to integrate with other product using the free version.The pricing and licensing of the product are quite high.Splunk's cost is very high. They need to review the pricing. They have to go back and totally readdress the market.It's a little bit expensive for a small to medium enterprise.I think the price could be improved.I am not personally involved with the pricing of the solution.Some of the insights that we have obtained as a part of using Splunk have greatly helped us in increasing our revenue in terms of selling our products.

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Ranking
5th
out of 25 in Streaming Analytics
Views
2,523
Comparisons
1,859
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Views
94,863
Comparisons
76,636
Reviews
56
Average Words per Review
332
Avg. Rating
8.8
Top Comparisons
Compared 30% of the time.
Compared 27% of the time.
Compared 9% of the time.
Compared 12% of the time.
Compared 9% of the time.
Compared 8% of the time.
Also Known As
IBM InfoSphere Streams
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IBM
Splunk
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.

Splunk software has been around since 2006 and the company has since grown to become an industry leader. Splunk's vision is to make machine data accessible, usable and valuable to everybody. The company offers a wide range of products to turn machine data into valuable information by monitoring and analyzing all activities. This is known as Operational Intelligence and is the unique value proposition of Splunk.

Splunk is well-known for its Log Management capabilities and also for its Security Information and Event Management (SIEM) solutions.

Offer
Learn more about IBM Streams
Learn more about Splunk
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 2015Splunk has more than 7,000 customers spread across over 90 countries. These customers include Telenor, UniCredit, ideeli, McKenney's, Tesco, and SurveyMonkey.
Top Industries
No Data Available
REVIEWERS
Financial Services Firm20%
Energy/Utilities Company14%
Retailer12%
Insurance Company8%
VISITORS READING REVIEWS
Software R&D Company19%
Financial Services Firm15%
Comms Service Provider11%
Manufacturing Company8%
Company Size
No Data Available
REVIEWERS
Small Business29%
Midsize Enterprise13%
Large Enterprise58%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise18%
Large Enterprise65%
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.
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