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CloverETL vs Informatica Enterprise Data Lake comparison

Javlin and Informatica are both solutions in the Data Integration category. Javlin is ranked #61, while Informatica is ranked #39 with an average rating of 8.0. Javlin holds a 0.5% mindshare in DI, compared to Informatica’s 0.4% mindshare. Additionally, 100% of Javlin users are willing to recommend the solution, compared to 100% of Informatica users who would recommend it.
CloverETL
Read 2 CloverETL reviews
  • 556 Views
  • 361 Comparison Views
100% willing to recommend
Informatica Enterprise Data...
Read 2 Informatica Enterprise Data Lake reviews
  • 467 Views
  • 360 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between CloverETL and Informatica Enterprise Data Lake based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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To learn more, read our detailed CloverETL vs. Informatica Enterprise Data Lake Report (Updated: October 2025).
Buyer's Guide
CloverETL vs. Informatica Enterprise Data Lake
October 2025
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Helped 869,760 peers since 2012

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
61st
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Data Visualization (39th)
Informatica Enterprise Data...
Ranking in Data Integration
39th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of CloverETL is 0.5%, up from 0.2% compared to the previous year. The mindshare of Informatica Enterprise Data Lake is 0.4%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Informatica Enterprise Data Lake0.4%
CloverETL0.5%
Other99.1%
Data Integration
 

Featured Reviews

it_user856614 - PeerSpot reviewer
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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SB
Have built an enterprise-level cloud data pipeline with reliable governance and integration
People use Informatica Enterprise Data Lake because we can create the whole journey from data migration projects from the legacy system to AWS and to the Lake architecture, covering the entire journey from the source to the landing zone, then to the curated zone, and finally consumed by both downstream and upstream applications. The main benefit of Informatica Enterprise Data Lake is that it allows you to use different types of data types, including blobs and storage; all types of data—structured, unstructured, and semi-structured—can exist in the Data Lake architecture, making it robust for retrieving data based on your filtration needs. Its value is actually governed by the client, who combined with our company and AWS, so we all work together to use the workspace and all these things for Informatica Enterprise Data Lake.
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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."
"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.​​"
"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."
"The process of using the tool's scalability option is well documented."
 

Cons

"​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​"
"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."
"Its documentation could be improved.​"
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
 

Pricing and Cost Advice

Information not available
"The licenses attached to the solution are highly priced."
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Questions from the Community

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What do you like most about Informatica Enterprise Data Lake?
The process of using the tool's scalability option is well documented.
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What is your experience regarding pricing and costs for Informatica Enterprise Data Lake?
Informatica Enterprise Data Lake's cost is higher, but it provides good value for the price. It comes at a reasonable price, which I would rate at eight out of ten.
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What needs improvement with Informatica Enterprise Data Lake?
Improvement depends upon how we can faster showcase our data in our reports, whether in Power BI, Tableau, or other formats. Improving the speed of data showcasing and filtration would be better, a...
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Product Reports

Buyer's Guide
Data Integration
September 2025
CloverETL reportDownload CloverETL product report
Buyer's Guide
Data Integration
September 2025
Informatica Enterprise Data Lake reportDownload Informatica Enterprise Data Lake product report
 

Also Known As

No data available
Informatica Intelligent Data Lake, Intelligent Data Lake
 

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

The Intelligent Data Lake enables raw big data to be systematically transformed into fit-for-purpose data sets for a variety of data consumers. Data scientists and analysts can quickly find the data they’re looking for using semantic and faceted search. They can see data profiles, lineage, and other relationships to know whether they can trust the data and whether it’s fit-for-use in their analytic projects. 

Informatica
 

Sample Customers

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA
Information Not Available
Buyer's Guide
CloverETL vs. Informatica Enterprise Data Lake
October 2025
Free Report: CloverETL vs. Informatica Enterprise Data Lake
Find out what your peers are saying about CloverETL vs. Informatica Enterprise Data Lake and other solutions. Updated: October 2025.
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