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Perforce Delphix vs Spring Cloud Data Flow comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Perforce Delphix
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
16
Ranking in other categories
Test Data Management (1st), Copy Data Management (1st), Data Masking (1st)
Spring Cloud Data Flow
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Integration (22nd), Streaming Analytics (9th)
 

Mindshare comparison

Perforce Delphix and Spring Cloud Data Flow aren’t in the same category and serve different purposes. Perforce Delphix is designed for Test Data Management and holds a mindshare of 27.9%, down 30.2% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.1% mindshare, up 0.9% since last year.
Test Data Management
Data Integration
 

Featured Reviews

Amit-Rastogi - PeerSpot reviewer
Handles large volumes of data with ease, but the self-service portal must be more user-friendly
My advice depends on an organization’s needs. If an organization has a large volume of data, Delphix is a good choice. It is robust and very efficient with large volumes of data and different kinds of databases. If someone is looking for a one-stop solution with all features and capabilities, they must consider a different tool. Overall, I rate the product a six or seven out of ten.
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.

Quotes from Members

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

Pros

"Delphix's technical support is fairly knowledgeable."
"The solution's most valuable feature is data cloning."
"The performance offered by the product, its price, and its ability to handle structured and unstructured data were good when compared to the other products in the market."
"It's really easy to install."
"Delphix's data distribution is powerful. It's easy to distribute data with this solution. The main advantage of Delphix is that it generates copies of data."
"It is a stable solution."
"Data being available anytime is a life changer."
"The most valuable feature is VDB provisioning."
"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."
"The ease of deployment on Kubernetes, the seamless integration for orchestration of various pipelines, and the visual dashboard that simplifies operations even for non-specialists such as quality analysts."
"The product is very user-friendly."
"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
"The dashboards in Spring Cloud Dataflow are quite valuable."
"The most valuable feature is real-time streaming."
"The solution's most valuable feature is that it allows us to use different batch data sources, retrieve the data, and then do the data processing, after which we can convert and store it in the target."
 

Cons

"Delphix is a strong solution for virtualization, but it's not strong enough for creating data, so we have to use another solution for creating new data."
"Could be improved with richer reporting capabilities."
"The solution’s self-service portal must be more interactive and user-friendly."
"It would be good if any CI/CD and DevOps-aligned feature could be triggered through the DevOps pipeline."
"One thing I would like to see improved is the unusual error messages we receive and some slowness we have while we are updating."
"My only complaint about this solution is the price."
"Delphix needs better partnerships from a customer perspective. It's how they sell it, not what they're selling."
"The solution's price needs improvement."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"I would improve the dashboard features as they are not very user-friendly."
"The solution's community support could be improved."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
"There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or refreshing the dashboard."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
 

Pricing and Cost Advice

"I rate the product price seven to eight on a scale of one to ten, where one is the low price, and ten is the high price."
"Delphix's pricing is affordable."
"The solution's pricing was reasonable and lower than one million."
"I would say the price is a little high but affordable for our needs."
"It is an expensive solution."
"The product is a little bit expensive."
"The cost is $370K annually for the Delphix Masking Engine and Delphix Virtualization Engine."
"If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution."
"This is an open-source product that can be used free of charge."
"The solution provides value for money, and we are currently using its community edition."
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Computer Software Company
11%
Insurance Company
10%
Manufacturing Company
7%
Financial Services Firm
26%
Computer Software Company
17%
Retailer
7%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Delphix?
The performance offered by the product, its price, and its ability to handle structured and unstructured data were good when compared to the other products in the market.
What is your experience regarding pricing and costs for Delphix?
The solution's pricing was reasonable and lower than one million.
What needs improvement with Delphix?
It would be good if any CI/CD and DevOps-aligned feature could be triggered through the DevOps pipeline. Right now, we have to trigger the jobs and then integrate them with DevOps, which requires s...
What needs improvement with Spring Cloud Data Flow?
There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or r...
What is your primary use case for Spring Cloud Data Flow?
We had a project for content management, which involved multiple applications each handling content ingestion, transformation, enrichment, and storage for different customers independently. We want...
What advice do you have for others considering Spring Cloud Data Flow?
I would definitely recommend Spring Cloud Data Flow. It requires minimal additional effort or time to understand how it works, and even non-specialists can use it effectively with its friendly docu...
 

Overview

 

Sample Customers

Alberta Blue Cross, Fastweb, SABMiller, California Insurance Guarantee Association (CIGA), Molina Healthcare, AT&T, Nike, Facebook, eBay, Comcast, IBM, HP, Intel, Avaya, BNP Paribas, P&B, Toyota, Walmart, Best Western, Directv, JPMorganChase, Verizon, Bank of the West, Fannie Mae
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