FME vs Informatica Intelligent Data Management Cloud (IDMC) comparison

Safe Software and Informatica are both solutions in the Data Integration category. Safe Software is ranked #26 with an average rating of 8.7, while Informatica is ranked #3 with an average rating of 7.8. Additionally, 100% of Safe Software users are willing to recommend the solution, compared to 93% of Informatica users who would recommend it.

FME

Read 5 FME reviews

2,791 Views
2,095 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Read 181 Informatica Intelligent Data Management Cloud (IDMC) reviews

14,140 Views
10,140 Comparison Views

93% willing to recommend

FME

Informatica Intelligent Dat...

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Informatica Intelligent Data Management Cloud and FME compete in data integration and management. IDMC excels in scalability and comprehensive features, while FME's strength lies in spatial data processing capabilities. IDMC typically captures broader enterprise data tasks, whereas FME has an upper hand in specialized geospatial data tasks.

Features: IDMC includes AI-driven insights, offering robust data governance and scalable architecture suitable for complex data environments. FME shines with strong spatial data transformation tools, supporting a wide range of formats that benefit industries handling geospatial data.

Room for Improvement: IDMC could enhance its spatial data handling and reduce setup complexity for smaller businesses. Improvements in editing and real-time data processing are suggested. FME may need to broaden its data management features and improve integration with non-spatial data resources, along with enhancing user-friendliness outside GIS tasks.

Ease of Deployment and Customer Service: IDMC integrates seamlessly within cloud environments, backed by efficient customer support, resulting in smoother deployment. FME poses slightly higher complexity due to its specialized features, but it offers comprehensive support and resources to address deployment challenges.

Pricing and ROI: IDMC involves higher setup costs, justified by its extensive features and scalability, typically delivering strong ROI through improved data management efficiencies. FME presents a lower initial investment, appealing for projects focusing on spatial data needs with potent ROI benefits in such scenarios.

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

Buyer's Guide

FME vs. Informatica Intelligent Data Management Cloud (IDMC)

November 2024

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Categories and Ranking

FME

Ranking in Data Integration

26th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

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)

Featured Reviews

Alan Bloor

Geographic Information System Developer at Public Sector

Great for handling large volumes of data, but it is priced a bit high

When I do coding, I think about every single function. Some of these functions can be very elementary, like doing a substring or some capitalization. But FME removes all that coding because it's a transformer, so the time to develop an application to get to a point where you're producing results is decreased massively. It used to take weeks and months to develop software, and now I can use something like FME, and within one day, we get results. We can look at and validate data. We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else.

Read full review

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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Quotes from Members

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

Pros

"It has standard plug-ins available for different data sources."

"We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else."

"All spatial features are unrivaled, and the possibility to execute them based on a scheduled trigger, manual, e-mail, Websocket, tweet, file/directory change or virtually any trigger is most valuable."

"It has a very friendly user interface. You don't need to use a lot of code. For us that's the most important aspect about it. Also, it has a lot of connectors and few forms. It has a strong facial aspect. It can do a lot of facial analysis."

"The most valuable feature of FME is the graphical user interface. There is nothing better. It is very easy to debug because you can see all steps where there are failures. Overall the software is easy to optimize a process."

"The valuable feature is metadata management. If you want to trace sensitive data, you can auto-classify them. You can search for sensitive information through EDC. Using Discovery, you can identify if there is any type of data set."

"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."

"The solution's scalability is high."

"The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format."

"The advanced features like task flow and conditional integration are particularly useful."

"The most valuable feature is the building of mockups and tasks."

"Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie."

"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."

More Informatica Intelligent Data Management Cloud (IDMC) pros

Cons

"FME's price needs improvement for the African market."

"Improvements could be made to mapping presentations."

"The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point."

"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house. The solution requires some in-depth knowledge to perform some functions."

"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."

"The stability and the integration of the solution have room for improvement."

"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."

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

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

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

"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."

"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."

"The on-prem solution is harder to learn than the cloud-based versions."

More Informatica Intelligent Data Management Cloud (IDMC) cons

Pricing and Cost Advice

"FME Server used to cost £10,000; now it can cost over £100,000."

"We used the standard licensing for our use of FME. The cost was approximately €15,000 annually. We always welcome less expensive solutions, if the solution could be less expensive it would be helpful."

"The product's price is reasonable."

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

"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."

"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."

"Informatica is very expensive."

"It's offers value for money. They're more competitive with respect to pricing and offerings."

"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."

"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."

"Pricing is determined by the number of licensed users as well as the number of Core CPUs."

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

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Top Industries

By visitors reading reviews

Government

28%

Energy/Utilities Company

12%

Computer Software Company

Manufacturing Company

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

10%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about FME?

We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else.

See all answers

What is your experience regarding pricing and costs for FME?

The pricing is really bad. Last year, they rebranded the whole pricing structure. It used to be moderately priced at about £400 per user per year. Now they've changed the whole thing, and it's expe...

See all answers

What needs improvement with FME?

The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point. There must be a technical or comm...

See all answers

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 ...

See all answers

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Compared 9% of the time

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Compared 8% of the time

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Compared 7% of the time

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Compared 5% of the time

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Compared 4% of the time

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Product Reports

Buyer's Guide

FME

December 2024

Download FME product report

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

Also Known As

No data available

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

Learn More

Safe Software

Informatica

Overview

FME is the data integration platform with the best support for spatial data. Run workflows on the desktop or deploy them in a server or cloud environment.

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.

Sample Customers

Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System

The Travel Company, Carbonite

Buyer's Guide

FME vs. Informatica Intelligent Data Management Cloud (IDMC)

November 2024

Free Report: FME vs. Informatica Intelligent Data Management Cloud (IDMC)

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