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Spring Cloud Data Flow vs Striim comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Spring Cloud Data Flow
Ranking in Data Integration
22nd
Ranking in Streaming Analytics
10th
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
9
Ranking in other categories
No ranking in other categories
Striim
Ranking in Data Integration
90th
Ranking in Streaming Analytics
27th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Cloud Data Integration (37th)
 

Mindshare comparison

As of November 2024, in the Streaming Analytics category, the mindshare of Spring Cloud Data Flow is 5.0%, up from 4.2% compared to the previous year. The mindshare of Striim is 0.4%, down from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics
 

Featured Reviews

NitinGoyal - PeerSpot reviewer
Has a plug-and-play model and provides good robustness and scalability
The solution's community support could be improved. I don't know why the Spring Cloud Data Flow community is not very strong. Community support is very limited whenever you face any problem or are stuck somewhere. I'm not sure whether it has improved in the last six months because this pipeline was set up almost two years ago. I struggled with that a lot. For example, there was limited support whenever I got an exception and sought help from Stack Overflow or different forums. Interacting with Kubernetes needs a few certificates. You need to define all the certificates within your application. With the help of those certificates, your Java application or Spring Cloud Data Flow can interact with Kubernetes. I faced a lot of hurdles while placing those certificates. Despite following the official documentation to define all the replicas, readiness, and liveliness probes within the Spring Cloud Data Flow application, it was not working. So, I had to troubleshoot while digging in and debugging the internals of Spring Cloud Data Flow at that time. It was just a configuration mismatch, and I was doing nothing weird. There was a small spelling difference between how Spring Cloud Data Flow was expecting it and how I passed it. I was just following the official documentation.
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Top Industries

By visitors reading reviews
Financial Services Firm
28%
Computer Software Company
17%
Manufacturing Company
7%
Retailer
6%
Computer Software Company
17%
Financial Services Firm
13%
Manufacturing Company
13%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with Spring Cloud Data Flow?
I would improve the dashboard features as they are not very user-friendly. Another area for improvement is the documentation, as it is not very precise. There are limited resources available on Spr...
What is your primary use case for Spring Cloud Data Flow?
I am a developer using Spring Cloud Dataflow. We primarily use it to convert our applications from monolithic to microservices. The solution is used for scheduling tasks in a specific order and ens...
What advice do you have for others considering Spring Cloud Data Flow?
My advice would be to thoroughly review the documentation and understand if Spring Cloud Dataflow is the right solution for your application. For applications with only one or two microservices, it...
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Also Known As

No data available
Striim Platform
 

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Overview

 

Sample Customers

Information Not Available
Sky, UPS, MACY'S, EMAAR, HSBC
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: November 2024.
816,562 professionals have used our research since 2012.