Fivetran vs Informatica Enterprise Data Lake comparison

Fivetran and Informatica are both solutions in the Data Integration category. Fivetran is ranked #12 with an average rating of 7.9, while Informatica is ranked #40 with an average rating of 7.0. Fivetran holds a 2.3% mindshare in DI, compared to Informatica’s 0.2% mindshare. Additionally, 89% of Fivetran users are willing to recommend the solution, compared to 100% of Informatica users who would recommend it.

Fivetran

Read 27 Fivetran reviews

4,481 Views
2,733 Comparison Views

89% willing to recommend

Informatica Enterprise Data...

Read 1 Informatica Enterprise Data Lake review

346 Views
242 Comparison Views

100% willing to recommend

Fivetran

Informatica Enterprise Data...

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Executive Summary

We performed a comparison between Fivetran and Informatica Enterprise Data Lake 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: July 2025).

Buyer's Guide

Data Integration

July 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

Fivetran

Ranking in Data Integration

12th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Replication (3rd), Cloud Data Integration (6th)

Informatica Enterprise Data...

Ranking in Data Integration

40th

Average Rating

7.0

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Integration category, the mindshare of Fivetran is 2.3%, up from 2.0% compared to the previous year. The mindshare of Informatica Enterprise Data Lake is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Mediha Šiljić

Lead Data Engineer at Sensilab

Built-in connectors offer extensive data source integration and time savings

Fivetran could improve by adapting more for technical users and by providing more options for such users. There should be more adaptability in terms of new features. If a specific feature is required, it should be integrated promptly. Improvement in existing connectors with new features is desirable. Enhancements around customer-focused product adaptation are also suggested.

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reviewer2330691

Data Architect at a tech services company with 11-50 employees

A scalable tool that needs a lot of maintenance due to its unstable nature

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 insights of data. At Informatica Enterprise Data Lake's level, in our company, we have a lot of redundant data in a lot of our core systems. The basic thing that our company wants is for the product to develop a reporting layer and access data from the document layer so that we can avoid duplication in projects, databases, and data. There is a lot of maintenance to be done owing to the instability users may face every time because of the huge processing capacity as the company has around more than 50 nodes, which causes a lot of maintenance issues because of which a lot of people don't benefit from the platform as it functions in a slow manner. Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems. Every time, we have to find different tools we can use in our company with the solution since it doesn't support many real-time systems. Even if our company invests in some tools, Informatica Enterprise Data Lake creates too many small files with some issues, which we cannot read because we invested in HBase and Kudu, but performance-wise, the process is slow.

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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 portal is very intuitive and easy to use."

"SysTrack load is the best feature."

"You can manage all of your connectors individually, which gives you a very good ability to trace which one of your ETL processes is running and when."

"The simplicity and scalability are the strongest features of Fivetran."

"The ease of usability is the most valuable feature. It's very easy and quick to set up. It also has a central hub as opposed to GoldenGate which is one direct interface. For GoldenGate I would have needed three interfaces whereas with HVR I have a central interface that manages everything."

"It is not like a traditional ETL, but it gives quite a lot of flexibility."

"The most important feature of the solution is its ability to build data pipelines in less time."

"Overall, I would rate Fivetran nine out of ten."

More Fivetran pros

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

Cons

"An in-line data quality checking capability is missing"

"The connections with SAP must be improved."

"I would like to see an improvement in the support offered by Fivetran."

"HVR Software's technical support could be improved. Whenever we log a case, the response that we get from the support is a bit delayed."

"I would like for them to incorporate additional transformations. A valuable aspect of the product is that it does inflight transformations and that could be expanded."

"It should have a few more monitoring functionalities."

"I would like Fivetran to implement additional resource monitoring and restriction policies."

"The documentation can be laid out better to make it easier to find things, and I really wish there was built-in support for changing passwords. Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."

More Fivetran cons

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

Pricing and Cost Advice

"The solution is affordable."

"In the first year, we were given a very good discount. It was approximately 20,000 Euros per year. In the third year, we purchased credit for two years and the price was 33,000 Euros per year."

"I rate the pricing a six out of ten."

"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."

"The pricing model is okay and mid to large companies will not have an issue with it."

"I would say they're a little bit on the expensive side, and their contract process is not particularly good, but there is a lot of potential flexibility."

"Fivetran is very expensive, and its database-driven pricing model is outdated."

"I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."

More Fivetran pricing and cost advice

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

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Top Industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

13%

Manufacturing Company

11%

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What's the deal with the HVR software acquisition?

As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become som...

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Does HVR Software provide reliable insights?

I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can ...

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How much traffic can HVR Software handle?

As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Softwar...

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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?

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?

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Comparisons

AWS Database Migration Service vs Fivetran

Compared 14% of the time

Oracle GoldenGate vs Fivetran

Compared 11% of the time

Qlik Replicate vs Fivetran

Compared 8% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Fivetran

Compared 6% of the time

AWS Glue vs Fivetran

Compared 5% of the time

More Fivetran Competitors

SSIS vs Informatica Enterprise Data Lake

Compared 100% of the time

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Product Reports

Buyer's Guide

Fivetran

July 2025

Download Fivetran product report

Buyer's Guide

Data Integration

July 2025

Download Informatica Enterprise Data Lake product report

Also Known As

No data available

Informatica Intelligent Data Lake, Intelligent Data Lake

Overview

Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com

Fivetran

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

Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, SpotifyNational Australia Bank, Saks, Cemex, Okta, Dropbox, Pitney Bowes, World Fuel Services,Lufthansa, AutoZone, ASICS, ASOS, Coupa, Databricks, Hermes, New Relic, Intercom,Canva, Honeywell, Square, DocuSign, Nandos, Oldcastle Infrastructure

Information Not Available

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