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

Informatica and VMware are both solutions in the Data Integration category. Informatica is ranked #3 with an average rating of 7.8, while VMware is ranked #23 with an average rating of 7.7. Additionally, 93% of Informatica users are willing to recommend the solution, compared to 88% of VMware users who would recommend it.

Informatica Intelligent Dat...

Read 181 Informatica Intelligent Data Management Cloud (IDMC) reviews

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10,140 Comparison Views

93% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

1,725 Views
1,296 Comparison Views

88% willing to recommend

Informatica Intelligent Dat...

Spring Cloud Data Flow

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Executive SummaryUpdated on Dec 19, 2024

Informatica IDMC and Spring Cloud Data Flow both operate in the data integration and management space. Informatica IDMC has the upper hand due to its robust data integration and cleansing capabilities.

Features: Informatica IDMC offers master data management, data quality, and data integration modules. It excels in data cleansing, address validation, and data duplication management. Spring Cloud Data Flow provides flexible orchestration well-suited for microservices with support for real-time streaming and batch processing, simple programming model, and dependency injection.

Room for Improvement: Informatica IDMC users suggest improvements in SAP integration, user interface, and pre-built capabilities. They also face challenges with resource-intensive configurations. Spring Cloud Data Flow users need better documentation, a more intuitive user interface, and stronger community support.

Ease of Deployment and Customer Service: Informatica IDMC supports on-premises, hybrid, and public cloud deployments with generally positive feedback on customer service, though support can be complex. Spring Cloud Data Flow offers on-premises and private cloud deployments but receives mixed feedback on support responsiveness.

Pricing and ROI: Informatica IDMC is perceived as expensive with a complex pricing model but offers a strong ROI when fully utilized. Spring Cloud Data Flow is an open-source solution with no initial cost, providing a cost-efficient option for developers familiar with open-source tools.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. Spring Cloud Data Flow Report (Updated: December 2024).

Buyer's Guide

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

December 2024

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Categories and Ranking

Informatica Intelligent Dat...

Ranking in Data Integration

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

181

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (3rd), API Management (7th), 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 (4th), Product Information Management (PIM) (1st), Data Observability (2nd)

Spring Cloud Data Flow

Ranking in Data Integration

23rd

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (9th)

Featured Reviews

Raj Sethupathi

Data Integration Consultant GCP/AWS at Infogrators Inc

Offers profiling and address standardization but can be complicated

Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

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NitinGoyal

Engineering Lead at Naukri.com

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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Quotes from Members

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

Pros

"The technical support services are good."

"It has become an easy way to exchange information through any cloud application."

"The governance process was fully manual before, but Axon helped us configure those processes, giving us more visibility, transparency, and control over the data."

"The best thing about Informatica Axon is that it integrates with the Electronic Data Capture and the Axon system."

"The most valuable feature is data discovery. This is the most exciting feature for all of the banks."

"The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic."

"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."

"It has improved our organization because it has made our data more reliable. Data is the most important asset these days, and in order to trust your data, you need these tools to make sure that your data is clean and reliable."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"The product is very user-friendly."

"The dashboards in Spring Cloud Dataflow are quite valuable."

"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."

"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."

"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 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

"Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."

"The solution doesn't directly connect to any of the analytical tools."

"Informatica Axon needs to improve its interface."

"They have too many diversified products. If you don't know Informatica, it's very confusing and feels very idiotic."

"Informatica MDM could be improved by adding drag and drop options, business data insights, and visualization reporting."

"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."

"The configuration process is pretty lengthy and challenging and could be made easier to understand."

"We haven't had many technical issues. We don't use all of the components of the tool that are more complex and error-prone."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."

"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."

"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 solution's community support could be improved."

"I would improve the dashboard features as they are not very user-friendly."

"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."

Pricing and Cost Advice

"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."

"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."

"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."

"It's a very expensive solution"

"The platform has a premium cost. I rate the pricing as seven out of ten."

"Informatica MDM's pricing is not cheap but comparable to other vendors."

"We have licenses, and we are provided with certain particular services in the solution."

"It's an expensive solution."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

"The solution provides value for money, and we are currently using its community edition."

"This is an open-source product that can be used free of charge."

"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

12%

Manufacturing Company

10%

Government

Financial Services Firm

27%

Computer Software Company

18%

Manufacturing Company

Retailer

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...

See all answers

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...

See all answers

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 ...

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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...

See all answers

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...

See all answers

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...

See all answers

Comparisons

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Compared 4% of the time

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

December 2024

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Buyer's Guide

Spring Cloud Data Flow

November 2024

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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

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Informatica

VMware

Overview

Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.

IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.

What are the most important features?

Data discovery: Facilitates identifying and understanding data sources.
Data profiling: Analyzes old databases for data quality.
Data and platform masking: Ensures data protection.
Salesforce integration: Seamless connectivity with Salesforce.
Mastering data: Centralizing and standardizing data.
UI intuitiveness: User-friendly interface.
Feature map flexibility: Adapts to user needs.
Business glossary creation: Defines business terms.
Data lineage: Tracks data flow and transformations.
Automation: Streamlines data processes.
Enterprise data cataloging: Organizes extensive data assets.
Scalability: Supports expanding data requirements.
Easy setup: Quick deployment process.
Bulk upload: Efficiently handles large data volumes.
Customizable data management: Tailors data solutions.
Real-time data streaming: Manages live data streams.
Integration with Hadoop and NoSQL: Connects with big data platforms.

What benefits and ROI should be considered?

Regulatory compliance: Ensures adherence to regulations.
Data protection: Safeguards sensitive information.
Enhanced data quality: Improves accuracy and reliability.
Centralized data: Consolidates data for better management.
Process automation: Reduces manual tasks and errors.

Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.

Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

Sample Customers

The Travel Company, Carbonite

Information Not Available

Buyer's Guide

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

December 2024

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