Informatica Enterprise Data Lake vs Talend Data Fabric comparison

Informatica and Talend are both solutions in the Data Integration category. Informatica is ranked #41 with an average rating of 7.0, while Talend is ranked #27 with an average rating of 9.0. Informatica holds a 0.4% mindshare in DI, compared to Talend’s 0.9% mindshare. Additionally, 100% of Informatica users are willing to recommend the solution, compared to 100% of Talend users who would recommend it.

Informatica Enterprise Data...

Read 2 Informatica Enterprise Data Lake reviews

454 Views
350 Comparison Views

100% willing to recommend

Talend Data Fabric

Read 6 Talend Data Fabric reviews

1,416 Views
1,359 Comparison Views

100% willing to recommend

Informatica Enterprise Data...

Talend Data Fabric

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Executive Summary

We performed a comparison between Informatica Enterprise Data Lake and Talend Data Fabric based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: September 2025).

Buyer's Guide

Data Integration

September 2025

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Helped 868,183 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

Informatica Enterprise Data...

Ranking in Data Integration

41st

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Talend Data Fabric

Ranking in Data Integration

27th

Average Rating

8.4

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of Informatica Enterprise Data Lake is 0.4%, up from 0.2% compared to the previous year. The mindshare of Talend Data Fabric is 0.9%, down from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Talend Data Fabric	0.9%
Informatica Enterprise Data Lake	0.4%
Other	98.7%

Data Integration

Featured Reviews

Santanu Bhattacharya

Technical manager at Cognizant

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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KrishnaBaddam

Presales Manager at Artha Solutions

Supports API integrations and enables users to handle data management

Informatica is a well-established product known for its stability. Hardware and configuration can affect its performance, and it's not a lightweight tool that will fail quickly. When purchasing Informatica, you have options based on your needs. A simple data ingestion or integration license is relatively affordable, but the full Data Fabric suite is expensive. The Data Fabric suite includes integration, data quality, API management, big data processing, and real-time capabilities. For those who don't need the entire suite, purchasing individual components, such as data integration or data quality, it is a more cost-effective option. These individual licenses are generally less expensive than the complete Data Fabric suite, offering a more flexible and budget-friendly choice than Informatica's flagship.

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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 process of using the tool's scalability option is well documented."

"Everything in Talend Data Fabric is GUI-based, making it very user-friendly and easy to learn quickly."

"The initial setup is very easy."

"The Talend data integration has been one of the most valuable features."

"Talend can be used for multi-cloud purposes, allowing users to orchestrate data across various cloud platforms without purchasing AWS Glue, Azure Data Factory, or similar cloud-specific tools."

"We've had no issues with the stability so far."

"It is a smart tool for us to design data pipelines. It lets us populate our three data lake instances. We like this solution for its connection capabilities, since it is very important to be able to use many different types of software. We tested a lot of SAP sources successfully, including cloud sources with SAP. It is also very easy to anonymize data with TIBCO, as well as populating HDFS files, packet files, and raw files. It is very easy to do that with Talend Data Fabric."

Cons

"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."

"The support is not very good. The team is not well-trained, and resolving a ticket can require several discussions."

"Deployment can be difficult, but I didn't test the latest version yet. With Talend products, every release brings a lot of new features and functionalities. This is never a small adaptation, because the tool is maturing, but we need to test the latest version and to check its deployment capabilities."

"I would like to see better integration with other tools."

"We encounter issues getting email notifications. They should provide enough information about the configuration process for email components."

"Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup."

"We are currently using version 7.3.1, but preferred the version before. The problem that we currently have is that Talend are releasing patches for Talend Studio every quarter. Our technical team has to be on top of these patches and constantly ensure everything is updated."

Pricing and Cost Advice

"The licenses attached to the solution are highly priced."

"There are no additional licensing fees when you scale"

"There are multiple subscriptions available with Talend, each with its own scope. Subscriptions depend on the number of users you have and how many remote engines you want to install."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

17%

Computer Software Company

10%

Educational Organization

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	3

Questions from the Community

What do you like most about Informatica Enterprise Data Lake?

The process of using the tool's scalability option is well documented.

See all answers

What is your experience regarding pricing and costs for Informatica Enterprise Data Lake?

The licenses attached to the solution are highly priced. Informatica has licensing models for every product and for every feature, like the web service feature, which is something my company doesn'...

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What needs improvement with Informatica Enterprise Data Lake?

Governance, data dictionary, and data cataloging are not available in Informatica Enterprise Data Lake. A lot of businesses are facing issues related to understanding the area revolving around insi...

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What do you like most about Talend Data Fabric?

The initial setup is very easy.

See all answers

What needs improvement with Talend Data Fabric?

Data governance is still not mature. There is not much documentation available for it, and the maturity of the product does not meet my expectations. Master Data Management has been decommissioned,...

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What is your primary use case for Talend Data Fabric?

The main use cases for Talend Data Fabric include setting up a data lake to enable the data platform.

See all answers

Comparisons

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Compared 100% of the time

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Compared 40% of the time

Azure Data Factory vs Talend Data Fabric

Compared 22% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Fabric

Compared 11% of the time

Talend Data Management Platform vs Talend Data Fabric

Compared 10% of the time

Palantir Foundry vs Talend Data Fabric

Compared 9% of the time

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Product Reports

Buyer's Guide

Data Integration

September 2025

Download Informatica Enterprise Data Lake product report

Buyer's Guide

Data Integration

September 2025

Download Talend Data Fabric product report

Also Known As

Informatica Intelligent Data Lake, Intelligent Data Lake

No data available

Overview

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

Talend, a leader in cloud data integration and data integrity, enables companies to transform by delivering trusted data at the speed of business.
Talend Data Fabric offers a single suite of apps that shorten the time to trusted data. Users can collect data across systems; govern it to ensure proper use, transform it into new formats and improve quality, and share it with internal and external stakeholders.

Over 3,000 global enterprise customers have chosen Talend to help them turn all their raw data into trusted data to make business decisions with confidence — including GE, HP Inc., and Domino’s.

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: September 2025.

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