AWS Data Pipeline [EOL] vs Fivetran comparison

Read 27 Fivetran reviews

1,725 Views
1,241 Comparison Views

89% willing to recommend

AWS Data Pipeline [EOL]

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between AWS Data Pipeline [EOL] and Fivetran based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration.

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

Cloud Data Integration

Download the complete report

Helped 852,098 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

AWS Data Pipeline [EOL]

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Fivetran

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (12th), Data Replication (3rd), Cloud Data Integration (8th)

Featured Reviews

Geoffrey Leigh

Chief Data Strategy and Governance Architect at INDEPENDENT PURCHASING COOPERATIVE, INC

A stable, scalable, and reliable solution for moving and processing data

We're only considering enhancing the presentation layer to give a more multidimensional OLAP view that AWS seems to have decided on. Redshift with the data mart structure is like an OLAP cube. Oracle Analytics Cloud is an over-code killer and is not what we need. I was looking at Mondrian, which used to be part of the open-source stack from another vendor that works. Still, I am also looking at some of the other OLAP environments like Kaiser and perhaps decided to go to Azure with Microsoft Azure analysis cloud, but that's not multidimensional either as SSAS used to be. We tried the Mondrian, and that didn't perform how we expected. So, we are looking at resetting something to perform as an OLAP in the cloud, particularly AWS, so that we might consider an Azure solution.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."

"It is a stable solution...It is a scalable solution."

"The compare feature is the most valuable piece of it."

"SysTrack load is the best feature."

"Fivetran is remarkably easy to use; I haven't encountered any other data integration tool that is as user-friendly."

"The solution is stable. We've never faced any stability issues."

"The ease of setting up the connectors and transformations is highly valuable."

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

"The product has some seamless connectors, which are readily available."

"There's the general feature of the platform where it just makes it very easy to integrate different things, but I would say a specific difference is their integration of DBT,."

More Fivetran pros

Cons

"It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there."

"The user-defined functions have shortcomings in AWS Data Pipeline."

"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."

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

"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."

"Fivetran could improve in the area of customization, especially in how they socialize their tools."

"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."

"The biggest area for improvement is in customization, particularly in how Fivetran socializes its tools."

"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."

"The documentation is decent, but it's hard to find information online about Fivetran. For example, if you try to search for an error code, you won't find much information about it in forums."

More Fivetran cons

Pricing and Cost Advice

"The way we use it, I think it is fair as we're getting a good value for money compared to having a server or some other data pipeline."

"I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price."

"The solution is affordable."

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

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

"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 rate the pricing a six out of ten."

"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 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

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.

See recommendations

852,098 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

27%

Financial Services Firm

21%

Wholesaler/Distributor

Government

Educational Organization

21%

Computer Software Company

12%

Financial Services Firm

12%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about AWS Data Pipeline?

The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.

What is your experience regarding pricing and costs for AWS Data Pipeline?

I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price.

What needs improvement with AWS Data Pipeline?

The user-defined functions have shortcomings in AWS Data Pipeline. The user-defined functions could be one of the areas where I can write a custom function and embed it as a part of AWS Data Pipeli...

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...

AWS Database Migration Service vs Fivetran

Comparisons

No data available

Compared 16% of the time

Oracle GoldenGate vs Fivetran

Compared 13% of the time

Qlik Replicate vs Fivetran

Compared 8% of the time

Azure Data Factory vs Fivetran

Compared 6% of the time

AWS Glue vs Fivetran

Compared 5% of the time

More Fivetran Competitors

Product Reports

Cloud Data Integration

Download AWS Data Pipeline [EOL] product report

Download Fivetran product report

Overview

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. ... AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

Amazon Web Services (AWS)

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

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

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

Cloud Data Integration