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Apache NiFi vs IBM Streams comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Apache NiFi
Average Rating
7.8
Number of Reviews
11
Ranking in other categories
Compute Service (8th)
IBM Streams
Average Rating
8.2
Number of Reviews
5
Ranking in other categories
Streaming Analytics (18th)
 

Mindshare comparison

Apache NiFi and IBM Streams aren’t in the same category and serve different purposes. Apache NiFi is designed for Compute Service and holds a mindshare of 8.0%, up 5.9% compared to last year.
IBM Streams, on the other hand, focuses on Streaming Analytics, holds 0.8% mindshare, down 1.0% since last year.
Compute Service
Streaming Analytics
 

Featured Reviews

SabinaZeynalova - PeerSpot reviewer
Allows the creation and use of custom functions to achieve desired functionality but limitation in handling monthly transactions due to a lack of partitioning for dates
Apache NiFi is slow to control and needs to be improved. I have to run many jobs and there are already large tables, which can make it difficult to control NiFi on time. There is no one to tell me when there is an incident and my server is down. When we manually start the NiFi process, it is not always started correctly. We can write scripts to run when a message is received from Airflow saying that the firewall is not running. This script will automatically start all servers, including the application servers. It will also check the status of all my NiFi processes and send a callback message with the results. I have written down all the processes that are monitored. We run many jobs, and there are already large tables. When we do not control NiFi on time, all reports fail for the day. So it's pretty slow to control, and it has to be improved. In future releases, there are extra features I’d like to add. For example, NiFi is not suitable for migration, and the replication in NiFi is really not good. Because when you process ten years of data, you can't manage all the transactions; it is not enough. Moreover, the handling of monthly transactions is not enough due to a lack of partitioning for dates. And, when we grade a monthly ticket, we must process all data then rerun our ETL jobs. If it's possible, enhancing the partitioning in NiFi for features would be beneficial.
Ahmed_Emad - PeerSpot reviewer
A solution for data pipelines but has connector limitations
We have used Kafka for seven years. IBM streams gives you many OOTB features that can boost the time-to-market, especially when it comes to reporting and monitoring for example. Confluent is recognized as one of the leaders in this space and the main reason for this is related to the complete vision of the platform also the large number of connectors. This gives the edge and competitive advatnage.
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
15%
Manufacturing Company
8%
Retailer
6%
Financial Services Firm
29%
Computer Software Company
20%
Educational Organization
6%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with Apache NiFi?
The tool should incorporate more tutorials for advanced use cases. It has tutorials for simple use cases.
What is your experience regarding pricing and costs for IBM Streams?
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?
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?
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 exchan...
 

Comparisons

 

Also Known As

No data available
IBM InfoSphere Streams
 

Learn More

 

Overview

 

Sample Customers

Macquarie Telecom Group, Dovestech, Slovak Telekom, Looker, Hastings Group
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
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