CloverETL vs Informatica Intelligent Data Management Cloud (IDMC) comparison

Javlin and Informatica are both solutions in the Data Integration category. Javlin is ranked #65, while Informatica is ranked #2 with an average rating of 7.7. Javlin holds a 0.2% mindshare in DI, compared to Informatica’s 4.3% mindshare. Additionally, 100% of Javlin users are willing to recommend the solution, compared to 93% of Informatica users who would recommend it.

CloverETL

Read 2 CloverETL reviews

203 Views
145 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Read 185 Informatica Intelligent Data Management Cloud (IDMC) reviews

8,610 Views
5,511 Comparison Views

93% willing to recommend

CloverETL

Informatica Intelligent Dat...

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Executive SummaryUpdated on Dec 19, 2024

Informatica Intelligent Data Management Cloud (IDMC) and CloverETL compete in the data integration and management category. Informatica IDMC has the upper hand due to its advanced integration capabilities and scalability.

Features: Informatica IDMC provides tools for data integration, data quality, and enterprise-scale management with AI-driven automation and analytics. CloverETL is designed for flexibility and speed, offering robust transformation features for smaller projects.

Ease of Deployment and Customer Service: Informatica IDMC delivers managed services and comprehensive support for smoother deployment within complex environments. CloverETL offers quick installation and user support, ideal for simpler processes.

Pricing and ROI: Informatica IDMC involves higher initial costs with extensive features and long-term scalability, leading to substantial ROI for large enterprises. CloverETL offers budget-friendly options with quick ROI, suitable for organizations needing immediate solutions.

To learn more, read our detailed CloverETL vs. Informatica Intelligent Data Management Cloud (IDMC) Report (Updated: May 2025).

Buyer's Guide

CloverETL vs. Informatica Intelligent Data Management Cloud (IDMC)

May 2025

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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

CloverETL

Ranking in Data Integration

65th

Average Rating

7.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (39th)

Informatica Intelligent Dat...

Ranking in Data Integration

2nd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

185

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (5th), 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)

Mindshare comparison

As of June 2025, in the Data Integration category, the mindshare of CloverETL is 0.2%, up from 0.1% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.3%, down from 7.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

it_user856614

Lead Programmer at a healthcare company with 10,001+ employees

Very easy to schedule jobs and monitor them, however we run out heap space even with a high allocation

Flexibility: We can bring in data from multiple sources, e.g., databases, text files, JSON, email, XML, etc. This has been very helpful Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility. Server features for scheduler: It is…

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Saikat Ghosh

Consulting Principal & Founder at Digital Data Consultancy

Match and merge functionality is still the best but cloud version needs more functionality

There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.

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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

"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."

"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."

"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."

"No dependence on native language and ease of use."

"The solution provides increased efficiency while still being user-friendly and easy to operate."

"The features for data quality, data cataloging, and UI are excellent."

"The most valuable feature of Informatica Axon has been the data marketplace."

"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."

"The program is stable and scalable."

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

"The solution scales well."

"The data quality component is very good."

More Informatica Intelligent Data Management Cloud (IDMC) pros

Cons

"Its documentation could be improved."

"Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."

"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."

"Certain shortcomings in the product's UI make it an area where improvements are required."

"The configurations could be better. It is a bit confusing because we must develop two tools when building a data model in Informatica MDM. Even though Informatica MDM is a single tool, we have our hub console plus the provisioning tool within that. Whatever data model we are building in the hub console, we have to develop it in the provisioning tool again. It is double the work to create a data model. We are also using external calls or the Java custom plans functions. This can be both positive and negative. Since MDM as a client does not support any complex validation, we have to depend on the external call or a Java call. Every time we deployed, the entire solution was impacted if something went wrong."

"One thing Informatica could improve is the way IPUs are used. Each customer purchases a certain amount of IPUs per month, but you can use more or less than that defined quantity. The only problem is if you don't use the all your IPUs, they don't carry over into the next month. I think customers should have the ability to transfer unused IPUs into the next month or year. This improvement could help give customers more flexibility, especially since cloud solutions need flexibility in how we use and pay for them."

"The pricing model is problematic."

"Informatica's support understands the solution, but they lack the experience we need for our use case. That was one thing that we prioritized when we started searching for this kind of solution."

"The initial setup was not very straightforward. Not complex, but not very simple either."

"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."

"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."

More Informatica Intelligent Data Management Cloud (IDMC) cons

Pricing and Cost Advice

Information not available

"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."

"I rate the licensing cost of Informatica MDM a five out of ten."

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

"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."

"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."

"Informatica MDM's pricetag should come down. They have to cut some costs."

"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."

"We got a 50% discount."

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

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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Product Reports

Buyer's Guide

Data Integration

June 2025

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Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

April 2025

Informatica Intelligent Data Management Cloud (IDMC) report

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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

Overview

CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.

Javlin

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.

Informatica

Sample Customers

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA

The Travel Company, Carbonite

Buyer's Guide

CloverETL vs. Informatica Intelligent Data Management Cloud (IDMC)

May 2025

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