Fivetran vs Matillion Data Productivity Cloud comparison

Fivetran and Matillion are both solutions in the Cloud Data Integration category. Fivetran is ranked #8 with an average rating of 7.8, while Matillion is ranked #6 with an average rating of 8.3. Fivetran holds a 5.7% mindshare in CDI, compared to Matillion’s 3.4% mindshare. Additionally, 88% of Fivetran users are willing to recommend the solution, compared to 96% of Matillion users who would recommend it.

Fivetran

Read 25 Fivetran reviews

1,822 Views
1,315 Comparison Views

88% willing to recommend

Matillion Data Productivity...

Read 26 Matillion Data Productivity Cloud reviews

1,597 Views
1,090 Comparison Views

96% willing to recommend

Fivetran

Matillion Data Productivity...

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 31, 2025

Matillion Data Productivity Cloud and Fivetran compete in the data integration and ETL market. Matillion appears to have the upper hand, thanks to its cost-effectiveness and versatility, particularly in large and variable workload scenarios.

Features: Matillion excels in integration with platforms like Snowflake and Redshift and offers mid-pipeline data sampling, built-in verification processes, and strong AWS compatibility. It is noted for its agility for ETL engineers. Fivetran, on the other hand, stands out for its ease-of-use with managed pipelines, DBT integration for simplifying data transformations, and detailed logs. Its ability to handle seamless replication and straightforward integration processes are valuable features.

Room for Improvement: Users suggest that Matillion could benefit from more frequent API updates, enhanced documentation, and better integration with additional databases. Performance and customization issues also need addressing. For Fivetran, enhancing data pipeline observability, expanding connector availability, and offering stronger customization options are key improvement areas. Its expensive pricing, particularly for data-heavy environments, also requires more transparency and better negotiation practices.

Ease of Deployment and Customer Service: Matillion Data Productivity Cloud generally deploys easily on the public cloud, offering a user-friendly experience and responsive technical support, including effective online resources. Fivetran is available on both public and hybrid clouds, with dependable technical support, though some users note a lack of customization options. Both solutions are praised for their high levels of customer service, with Fivetran’s support recognized as exceptional.

Pricing and ROI: Matillion offers flexible pricing based on usage, which supports cost-effective operations, especially for larger teams. Its pay-as-you-go model on AWS aligns well with variable workloads, achieving ROI by cutting operational costs. Fivetran has high upfront costs; while scalable, its pricing can be prohibitive for smaller companies. Both providers achieve ROI within a year, with Matillion leveraging cloud efficiency, and Fivetran's robust offerings justifying the costs.

To learn more, read our detailed Fivetran vs. Matillion Data Productivity Cloud Report (Updated: March 2025).

Buyer's Guide

Fivetran vs. Matillion Data Productivity Cloud

March 2025

Download the complete report

Helped 845,406 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

Fivetran

Ranking in Cloud Data Integration

8th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

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

Matillion Data Productivity...

Ranking in Cloud Data Integration

6th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Cloud Data Integration category, the mindshare of Fivetran is 5.7%, up from 4.9% compared to the previous year. The mindshare of Matillion Data Productivity Cloud is 3.4%, down from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration

Featured Reviews

Erik Jones

Head of BI and Analytics at HyperScience

Solution reduces time-to-value; high ROI

Fivetran has room for improvement in data pipeline observability. The Fivetran logs are fairly basic, compared to, for example, the insight Fivetran gives into helping users understanding the performance of data pipelines. So I think their observability into the pipeline itself could be improved. In addition, Fivetran is in the very early stages of allowing other companies to access its metadata API, but that's something that could use improvement, and I know that they're working on right now. 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. It would be nice if Fivetran offered both their regular offering plus the reverse ETL option as well.

Read full review

Jacques Du Preez

Chief Executive Officer at Intellinexus

Offers good user interface and easy to navigate

Our experience is mainly around using Snowflake Data Cloud with Matillion. And the two of them combined, offer superior performance and price point benefits. Using them together is very efficient because Matillion's processing and Snowflake's own scalability and consumption based on pushing down code work well together. They are very efficient. We've used Azure Data Factory (ADF) for integration. So that's an alternative, depending on customer choice for the integration. And then on AWS, a few of the other services, like Terraform, and S3 storage, and that's about it. It's on a case-by-case basis. If they've chosen ADF as a technology, then we implement using that choice.

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

"Its arrays are powerful enough to handle migrations even when the replication is happening in the background, without causing any trouble with the ongoing traffic."

"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."

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

"It is easy for users to get accustomed to the tool due to its gentle learning curve and clear error transparency."

"Fivetran's most valuable feature is replication."

"Fivetran can perform data migration incredibly fast, depending on the source and target."

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

More Fivetran pros

"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."

"The technical support treats us well. They already have a support portal, and they are responsive, which helps."

"We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL)."

"The most valuable feature of Matillion ETL is its user-friendly graphical interface."

"It has improved the costs of managing my customer’s data."

"The loading of data is the most valuable feature of Matillion ETL."

"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."

"The product is quite stable and can handle complex data integration tasks well."

More Matillion Data Productivity Cloud pros

Cons

"The customization could improve because Fivetran gives more thought to people who don't want to manage analytics workflows rather than engineers who want to be able to customize pipelines more thoroughly."

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

"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 connections with SAP must be improved."

"There was a random change to our contract in a unilateral manner after the first year. The overall cost of using Fivetran was then unclear and this is the reason I would not recommend this solution."

"It should have a few more monitoring functionalities."

"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."

"We experience cost issues because Fivetran is charged on a usage basis. When you reach a certain level, the tool should focus on reducing the costs. The solution is expensive when you are moving gigabytes and petabytes of data. It should also focus more on REST APIs and webhooks."

More Fivetran cons

"Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems."

"Performance can be improved for efficiency, and it can be made faster."

"When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience."

"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."

"In the next release, we would like to have connections to more databases."

"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."

"The tool's lineage is very weak."

"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."

More Matillion Data Productivity Cloud cons

Pricing and Cost Advice

"The product is reasonably expensive"

"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."

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

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

"The solution is affordable."

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

"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."

More Fivetran pricing and cost advice

"I think it is cost conscious. It used to be very cheap and they have more recently bumped up the pricing, so it is competitive now."

"Matillion ETL has a pay-as-you-go pricing model of a few dollars per hour of runtime."

"Matillion ETL is expensive."

"Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."

"Its price depends on what you expect. You pay on a monthly basis, but there is a possibility to have special contracts depending on the installation."

"The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running."

"The pricing depends on what edition the customer opts for. For example, the standard edition is priced at $2.00 per credit. And you are only charged when you use it. You're not charged when it's idle."

"The AWS pricing and licensing are a cost-effective solution for data integration needs."

More Matillion Data Productivity Cloud 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

845,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Educational Organization

27%

Computer Software Company

12%

Financial Services Firm

11%

Manufacturing Company

Financial Services Firm

18%

Computer Software Company

15%

Manufacturing Company

Energy/Utilities Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

See all answers

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 ...

See all answers

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...

See all answers

What do you like most about Matillion ETL?

The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.

See all answers

What is your experience regarding pricing and costs for Matillion ETL?

The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running. Its pricing model is different from the traditional pricing models ...

See all answers

What needs improvement with Matillion ETL?

Depending on the use case, the solution's pricing could be improved. Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems.

See all answers

Comparisons

AWS Database Migration Service vs Fivetran

Compared 16% of the time

Oracle GoldenGate vs Fivetran

Compared 14% of the time

Qlik Replicate vs Fivetran

Compared 8% of the time

Azure Data Factory vs Fivetran

Compared 7% of the time

AWS Glue vs Fivetran

Compared 5% of the time

More Fivetran Competitors

Azure Data Factory vs Matillion Data Productivity Cloud

Compared 15% of the time

AWS Glue vs Matillion Data Productivity Cloud

Compared 10% of the time

SSIS vs Matillion Data Productivity Cloud

Compared 10% of the time

Snowflake vs Matillion Data Productivity Cloud

Compared 6% of the time

Informatica PowerCenter vs Matillion Data Productivity Cloud

Compared 6% of the time

More Matillion Data Productivity Cloud Competitors

Product Reports

Buyer's Guide

Fivetran

March 2025

Download Fivetran product report

Buyer's Guide

Matillion Data Productivity Cloud

March 2025

Matillion Data Productivity Cloud report

Download Matillion Data Productivity Cloud product report

Also Known As

No data available

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery

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

Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.

Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.

What are the key features of Matillion Data Productivity Cloud?

User-Friendly Interface: Simplifies interaction for non-technical users with a graphical interface.
Seamless Integration: Works smoothly with AWS, SFDC, RDS, Marketo, Facebook, and Google AdWords.
Automatic Scalability: Efficiently manages varying workloads with scale-up and down capabilities.
Efficient Data Handling: Streamlines transformations, scheduling, and sample data verifications.
Diverse Data Source Support: Easily integrates multiple data sources for streamlined processes.

What benefits and ROI should users seek in reviews?

Ease of Use: Reduces complexity for non-technical teams with intuitive operation.
Performance Efficiency: Fast data processing and transformations enhance productivity.
Cloud Compatibility: Supports integration with cloud platforms for versatile data solutions.
Time-Saving Scheduling: Automates data tasks, allowing users to focus on other priorities.
Scalability: Automatically adjusts to workload needs, optimizing resource use and cost.

In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.

Matillion

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

Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc

Buyer's Guide

Fivetran vs. Matillion Data Productivity Cloud

March 2025

Free Report: Fivetran vs. Matillion Data Productivity Cloud

Find out what your peers are saying about Fivetran vs. Matillion Data Productivity Cloud and other solutions. Updated: March 2025.

DOWNLOAD NOW

845,406 professionals have used our research since 2012.

See our Fivetran vs. Matillion Data Productivity Cloud report.

See our list of best Cloud Data Integration vendors.

We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.