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Informatica Intelligent Data Management Cloud (IDMC) vs Spring Cloud Data Flow comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Informatica Intelligent Dat...
Ranking in Data Integration
3rd
Average Rating
7.8
Number of Reviews
180
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (3rd), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Spring Cloud Data Flow
Ranking in Data Integration
28th
Average Rating
7.8
Number of Reviews
7
Ranking in other categories
Streaming Analytics (11th)
 

Featured Reviews

SA
Jun 26, 2024
Automated a lot of manual processes, improved visibility into data processes but user interface could be more intuitive
The most valuable features of Informatica Axon are the reports and statistics. It provides very good insights into pending tasks, completed tasks, and areas requiring follow-up or approval. There are various checkpoints. In one report, we can see the overall status of the system. Additionally, Informatica Axon has many out-of-the-box features when we want to configure stuff for workflows, surpassing those of other tools we evaluated, like Collibra. But Informatica is a very established tool that offers a lot of pre-configurations when we govern the workflows. So, these out-of-the-box features are much more robust, and reporting is much more robust compared to other tools. Data Lineage Feature: Data lineage is there. But not everyone is into it. We have a lot of legacy applications, and consolidation of the data into our master data management is also a parallel project going on. Right now, Informatica Axon has a fantastic lineage feature, but we do not fully use that capability in our team because there are a lot of prerequisites that we need to set before we can utilize the lineage. There are very small components where we can see some lineage. For example, if you have product dimensions or dimension-related attributes, we can see how the data lineage is going through. But for other activities, our data is distributed across different platforms and involves about 43 to 50 legacy systems. First, we are in the process of consolidating them into one hub and then do some cleanup. That would be the biggest feature for us to start with this data lineage. Right now, we don't use that capability extensively.
JA
Apr 4, 2023
Simple programming model, low maintenance, but interface could improve
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. When we are using Docker images as the applications, the UI does not work, or it is not clear how it works. In a feature release, it would be beneficial if there could be more supported languages. They only support Spring, Node.js, and Python.

Quotes from Members

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

Pros

"The ability to aggregate and put together data from around fifty sources into one environment allows us to have a preview of everything in a single place, which is something we did not have previously in our company."
"REST API: Excellent for scripting control and reporting mechanisms"
"The solution is easier to use compared to the other solutions."
"Address Doctor gives an accurate combination of information provided with a level of returned threshold value."
"​The tool manually checks on applying business rules and helps to implement them."
"The most valuable features of Informatica MDM are it is cloud-enabled and has all the elements that are supposed to have in terms of MDM as a solution. All the features that are there. It is very well-integrated with any of the SAP and non-SAP applications. It is quite user-friendly. The user experience that you receive in Informatica MDM is quite good."
"You can extract and transfer your data as you wish it to be consumed later."
"We've used the solution for quite some time, so in our organization, the product is pretty mature."
"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 best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"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 product is very user-friendly."
"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."
"The most valuable feature is real-time streaming."
 

Cons

"The model is somewhat flexible. There are certain aspects of the model that are not as flexible as we would like. It doesn't do certain things to a great level of depth. So, in situations where we want to drill in to do something specific, we have to essentially copy that data into our own structures in order to add that additional layer of flexibility."
"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."
"Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them."
"The initial setup was not very straightforward. Not complex, but not very simple either."
"The ability of the product to leverage the power of big data could be improved."
"The on-prem solution is harder to learn than the cloud-based versions."
"Informatica Axon needs more integration connectors so that it can connect to systems and different kinds of datasets."
"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."
"The solution's community support could be improved."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"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."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
 

Pricing and Cost Advice

"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"It's a costly solution"
"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."
"The price is high, but the competitors are even higher, like Collibra."
"The pricing is high compared to other tools on the market."
"The price is comparable."
"Informatica MDM's price could be lower."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
10%
Insurance Company
6%
Financial Services Firm
28%
Computer Software Company
17%
Manufacturing Company
7%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
What needs improvement with Spring Cloud Data Flow?
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 ...
What is your primary use case for Spring Cloud Data Flow?
I work with a leading company in the recruitment domain in India. When a job seeker applies for a job, we capture the intent. It has to flow by a certain pipeline to check all the scores and whethe...
What advice do you have for others considering Spring Cloud Data Flow?
Our experience with Spring Cloud Data Flow has been phenomenal. The best thing I like about it is you can plug and play any data source, including MongoDB, Elasticsearch, and MySQL. We had a use ca...
 

Also Known As

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
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Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Spring Cloud Data Flow and other solutions. Updated: September 2024.
801,394 professionals have used our research since 2012.