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Fivetran vs Informatica Enterprise Data Lake comparison

 

Comparison Buyer's Guide

Executive Summary

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
6.8
Number of Reviews
28
Ranking in other categories
Data Replication (3rd), Cloud Data Integration (7th)
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 Fivetran is 2.0%, down from 2.1% 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 (%)
Fivetran2.0%
Informatica Enterprise Data Lake0.4%
Other97.6%
Data Integration
 

Featured Reviews

Vigneswar Jeyaraj - PeerSpot reviewer
Real-time data replication and integration streamline processes and enhance productivity
The most valuable feature of Fivetran so far is the data replication. The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline. Even when an error occurs, it automatically tries to solve the issue without manual interaction needed. The effectiveness of Fivetran's pre-built connectors in enhancing my customer's productivity is significant because everything is easily configurable. The documentation is very clear, so there's no difficulty in finding the necessary steps. Everything is pre-documented. The pre-built connectors that are available are excellent. Most functionalities are covered, and in most cases, it works according to expectations.
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.

Quotes from Members

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

Pros

"Overall, I would rate Fivetran nine out of ten."
"The most valuable feature of Fivetran so far is the data replication; the real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline."
"The ease of setting up the connectors and transformations is highly valuable."
"The simplicity of the solution is its valuable feature."
"The solution is stable. We've never faced any stability issues."
"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."
"The simplicity and scalability are the strongest features of Fivetran."
"The user interface is mostly UI-based, eliminating the need for a lot of coding."
"The process of using the tool's scalability option is well documented."
 

Cons

"The solution is very expensive. I would like to have a better integration of the solution with Azure."
"The environment must be more development-friendly."
"An in-line data quality checking capability is missing"
"Fivetran could improve in the area of customization, especially in how they socialize their tools."
"If Fivetran can build in more transformations, that would be really helpful in my opinion."
"The interface needs to be more user-friendly."
"More connectors are needed for exotic, popular, and rising star portals."
"It should have a few more monitoring functionalities."
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
 

Pricing and Cost Advice

"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."
"Fivetran is very expensive, and its database-driven pricing model is outdated."
"I've heard that the license for HVR is a bit costly compared to its competitors, but since it's reliable and efficient, I think the customer shouldn't be bothered about the cost."
"I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."
"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."
"The solution is affordable."
"The licensing costs are extremely high for the usage of somebody who has one GB or two GB of usage per day for real-time traffic. There are many other players in the market which are similarly priced or competitively priced. On average per month, it used to come around 12,000-15,000 USD, which is very high."
"The pricing model is okay and mid to large companies will not have an issue with it."
"The licenses attached to the solution are highly priced."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
12%
Manufacturing Company
11%
Retailer
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise7
Large Enterprise16
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...
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 ...
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...
What do you like most about Informatica Enterprise Data Lake?
The process of using the tool's scalability option is well documented.
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.
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...
 

Also Known As

No data available
Informatica Intelligent Data Lake, Intelligent Data Lake
 

Overview

 

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
Find out what your peers are saying about Fivetran vs. Informatica Enterprise Data Lake and other solutions. Updated: October 2025.
869,760 professionals have used our research since 2012.