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Fivetran vs Infogix Data360 Analyze [EOL] 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
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
27
Ranking in other categories
Data Integration (12th), Data Replication (3rd), Cloud Data Integration (6th)
Infogix Data360 Analyze [EOL]
Average Rating
7.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Mediha Šiljić - PeerSpot reviewer
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.
reviewer1321299 - PeerSpot reviewer
Easy drag-and-drop interface and supports custom Python functions, but the performance needs to be better
The memory processing needs to be improved because when you deal with a large amount of data, the interface tends to hang a little bit. When the system boots up, it can take between two and five minutes, depending on the system memory (RAM). If the system is low on memory then it takes a long time to start up. If you are not familiar with Python then this product will be a little more difficult for you. It can take a long time to migrate from one version to the next because there are a lot of processes to deal with.

Quotes from Members

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

Pros

"The product has some seamless connectors, which are readily available."
"The ease of setting up the connectors and transformations is highly valuable."
"It is easy for users to get accustomed to the tool due to its gentle learning curve and clear error transparency."
"The simplicity and scalability are the strongest features of Fivetran."
"Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly."
"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."
"The most important feature of the solution is its ability to build data pipelines in less time."
"The solution is stable. We've never faced any stability issues."
"The drag-and-drop functionality makes it easy for business users."
 

Cons

"In our case, we ultimately did not end up using Fivetran because we were able to do custom connects at a lower cost compared to Fivetran. From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option."
"I would like to see an improvement in the support offered by Fivetran."
"We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool."
"The solution is very expensive. I would like to have a better integration of the solution with Azure."
"The biggest area for improvement is in customization, particularly in how Fivetran socializes its tools."
"The interface needs to be more user-friendly."
"The connections with SAP must be improved."
"This solution needs to improve its real-time data and transformation availability."
"The memory processing needs to be improved because when you deal with a large amount of data, the interface tends to hang a little bit."
 

Pricing and Cost Advice

"I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."
"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."
"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."
"I don't have the exact information, but I know it is high, and it is on a yearly basis. There is no additional cost for what we're doing. We're always open to doing things cheaper, so we might potentially implement a different solution."
"Fivetran is very expensive, and its database-driven pricing model is outdated."
"The product is reasonably expensive"
"The solution is affordable."
"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."
"The open-source version is free to use, although it has a limitation of two-million records."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
13%
Educational Organization
10%
Manufacturing Company
10%
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...
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...
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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
citi, swedbank, RSA, MasterCard, travelers, telstra
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