AWS Database Migration Service vs Matillion Data Productivity Cloud comparison

Amazon Web Services (AWS) and Matillion are both solutions in the Cloud Data Integration category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.1, while Matillion is ranked #9 with an average rating of 8.1. Amazon Web Services (AWS) holds a 16.8% mindshare in CDI, compared to Matillion’s 3.4% mindshare. Additionally, 93% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 92% of Matillion users who would recommend it.

AWS Database Migration Service

Read 31 AWS Database Migration Service reviews

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3,871 Comparison Views

93% willing to recommend

Matillion Data Productivity...

Read 27 Matillion Data Productivity Cloud reviews

1,498 Views
1,028 Comparison Views

92% willing to recommend

AWS Database Migration Service

Matillion Data Productivity...

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Executive SummaryUpdated on Mar 31, 2025

Matillion Data Productivity Cloud and AWS Database Migration Service compete in the cloud data integration and migration category. Matillion seems to have the upper hand in user-friendliness and support, while AWS excels in cost-effectiveness and performance.

Features: Matillion Data Productivity Cloud offers ease of setup, dynamic data handling, and high integration capabilities with services like AWS Redshift, making tasks like mid-pipeline sampling easy, thereby enhancing data management agility. It provides built-in verification and scheduling, along with active user forums and support channels. AWS Database Migration Service supports reliable data migrations, large datasets, and maintains real-time synchronization, ensuring high speed and selling points like scalable services and cost value for users undertaking complex migrations.

Room for Improvement: Matillion could enhance its integration with additional data sources and handle concurrent workloads better, while users also require more frequent API updates due to changes in third-party services. AWS Database Migration Service would benefit from improved error messages, enhanced troubleshooting support, and better integration outside of AWS environments. Both can improve adaptability to diverse data environments and user support.

Ease of Deployment and Customer Service: Matillion is praised for its straightforward deployment in public cloud environments, backed by responsive technical support and detailed documentation. AWS Database Migration Service, although versatile across environments including hybrid scenarios, faces customer support challenges, especially in error handling assistance. Matillion offers active forums and support channels, while AWS is noted for its widespread applicability, though with room for customer service enhancement.

Pricing and ROI: Matillion offers flexible pricing through AWS Marketplace, charging by instance size and runtime; it delivers straightforward yet potentially non-budget-friendly pricing. Both products offer ROI in under a year for many users, but AWS Database Migration Service is highlighted as cost-effective, with usage-based billing offering budget control. Reviews suggest Matillion’s long-term operational savings potential, ideal for cloud-native infrastructure investments.

To learn more, read our detailed AWS Database Migration Service vs. Matillion Data Productivity Cloud Report (Updated: April 2025).

Buyer's Guide

AWS Database Migration Service vs. Matillion Data Productivity Cloud

April 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

AWS Database Migration Service

Ranking in Cloud Data Integration

2nd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Matillion Data Productivity...

Ranking in Cloud Data Integration

9th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Cloud Data Integration category, the mindshare of AWS Database Migration Service is 16.8%, up from 15.6% 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

Avinash Gangu

Lead Architect at Fracral

Centralizing database tables enhances workflow efficiency for ease of use

I was looking for some content as part of a comparison analysis. However, one of the pain points is that it is way too free-flowing. I have to skim through all the security pages to get to the crux of it. I was looking for a table that suggests which facets such services address with proofs of reference from professional conferences. The document is a 63-page read, making it very difficult to navigate without a summary. I was looking for a summary at the start, however, if I have to do it myself, I might as well integrate from AWS Docs and then Informative Exchange. The current document contains a lot of information, which is great, but there needs to be a summary indicating the story's essence. Unless there's a correction, it is not present in the document.

Read full review

Tomáš Hronek

Data Engineer at Merck

Used for wrangling or transforming data from sources like S3 and Databricks

I use Matillion ETL for wrangling or transforming data from sources like S3 and Databricks The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation. Sometimes, we have issues with the solution's stability and need to restart it for…

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

"DMS's architecture is highly beneficial, allowing for scalable migrations of large datasets."

"This efficient workflow has been particularly helpful."

"For our simple requirement of migration, DMS is just a typical AWS RDS with an IPSec tunnel to Oracle. The most valuable features for us are the networking capabilities like VPCs and VPNs."

"The product's initial setup phase was very easy."

"This solution is very good at mini-batch processing."

"If your infrastructure is already on Amazon, it simply makes the most sense to use a tool officially provided by them as an additional service, rather than having to rely on a third-party solution."

"One valuable feature of AWS Database Migration Service is change data capture (CDC)."

"The most valuable feature is its ability to get all the changes in our data and store that in an S3 bucket."

More AWS Database Migration Service pros

"Matillion ETL has great Git integration that is perfect and convenient to use."

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

"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."

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

"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."

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

"It's been able to do everything we require."

"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."

More Matillion Data Productivity Cloud pros

Cons

"This solution can offer more tweaks where the latency can be brought down to fifteen seconds."

"The performance of data migration could be smoother."

"What needs improvement in AWS Database Migration Service is that it lacks a log file validation feature. If the solution could provide more details about a particular transaction, that would be helpful. The stability of AWS Database Migration Service for online CDC records also needs to be improved."

"The solution’s scalability and performance could be improved."

"More endpoints need to be supported by AWS Database Migration Service. There's also a need for more control and transparency on the product, including better technical support."

"Migrating from here and pushing the data from on-premise to AWS cloud is a big challenge and a few more services from AWS would be helpful. For example, we are currently using ILDB internet tools which move data from on-premise to the AWS cloud. A few more services would be really helpful for me to move the master data."

"Database Migration Service could be more integrated. I think that it makes sense to add integration to these functions. For example, AWS Glue has a feature called Orchestrator to create data flows, and that's more straightforward."

"AWS Database Migration Service can become complex when testing. Other solutions, such as Microsoft Azure makes it easy to do. There are more steps to complete tasks in AWS Database Migration Service than in Microsoft Azure."

More AWS Database Migration Service cons

"The improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking."

"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."

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

"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."

"The product's scalability needs improvement. Perhaps adding more connectors would be beneficial."

"It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database."

"Matillion’s on-premises capabilities don’t allow you to build something customized."

"While the UI is good, it could be improved in its efficiency and made easier to use."

More Matillion Data Productivity Cloud cons

Pricing and Cost Advice

"In terms of pricing, I'd rate it an eight out of ten, considering it's a well-priced solution."

"Pricing can be improved."

"The pricing can be better and it should be more competitive."

"Pricing for the solution is reasonable, but could still be reduced."

"I rate the product price a seven on a scale of one to ten, where one is a high price, and ten is a low price."

"Cost is the only factor that is challenging."

"AWS Database Migration Service is the least expensive solution, but is still expensive."

"For Egypt, the product's prices are high, making it a specific problem in one region and not globally."

More AWS Database Migration Service pricing and cost advice

"The absence of licensing commitments makes it easy to experiment with the tool, and if we decide it's not suitable, we can simply stop the ETL instance and cease incurring charges."

"It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less."

"It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."

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

"The prices needs to be lower."

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

"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."

"It was very easy to purchase through the AWS Marketplace, but it was also expensive."

More Matillion Data Productivity Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

16%

Manufacturing Company

Government

Financial Services Firm

18%

Computer Software Company

16%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What resources can you use to learn how to utilize AWS Database Migration Service?

As with all AWS products, you are given very useful documentation with AWS Database Migration Service. Before we started using this product, we went over it and we were able to learn the basics an...

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Would you recommend AWS Database Migration Service as a cloud data integration tool?

My current company started using AWS Database Migration Service upon my recommendation, and I continue telling people how good of a product it is. However, users should keep in mind a few things. ...

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Is AWS Database Migration Service an affordable solution?

Compared to similar solutions, AWS Database Migration Service falls somewhere in the middle price-wise, at least from my experience. This being said, it is not a very affordable solution, especial...

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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?

While pricing can be an issue compared to other solutions, Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing c...

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What needs improvement with Matillion ETL?

There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements. I raise...

See all answers

Comparisons

AWS Glue vs AWS Database Migration Service

Compared 48% of the time

Oracle GoldenGate vs AWS Database Migration Service

Compared 12% of the time

Qlik Replicate vs AWS Database Migration Service

Compared 12% of the time

Fivetran vs AWS Database Migration Service

Compared 9% of the time

Striim vs AWS Database Migration Service

Compared 1% of the time

More AWS Database Migration Service Competitors

Azure Data Factory vs Matillion Data Productivity Cloud

Compared 14% of the time

AWS Glue vs Matillion Data Productivity Cloud

Compared 10% of the time

SSIS vs Matillion Data Productivity Cloud

Compared 9% of the time

SnapLogic vs Matillion Data Productivity Cloud

Compared 5% of the time

Snowflake vs Matillion Data Productivity Cloud

Compared 5% of the time

More Matillion Data Productivity Cloud Competitors

Product Reports

Buyer's Guide

AWS Database Migration Service

May 2025

Download AWS Database Migration Service product report

Buyer's Guide

Matillion Data Productivity Cloud

April 2025

Matillion Data Productivity Cloud report

Download Matillion Data Productivity Cloud product report

Also Known As

AWS Data Migration Service

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

Overview

AWS Database Migration Service, also known as AWS DMS, is a cloud service that facilitates the migration of relational databases, NoSQL databases, data warehouses, and other types of data stores. The product can be used to migrate users' data into the AWS Cloud or between combinations of on-premises and cloud setups. The solution allows migration between a wide variety of sources and target endpoints; the only requirement is that one of the endpoints has to be an AWS service. AWS DMS cannot be used to migrate from an on-premises database to another on-premises database.

AWS Database Migration Service allows users to perform one-time migrations, as well as replications of ongoing changes to keep sources and targets in sync. Organizations can utilize the AWS Schema Conversion Tool to translate their database schema to a new platform and then use AWS DMS to migrate the data. The product offers cost efficiency as a part of the AWS Cloud, as well as speed to market, flexibility, and security.

The main use cases of AWS Database Migration Service include:

Migrating from legacy or on-premises databases to managed cloud services through a simplified migration process.
Reliable replication of backup files to minimize downtime and data loss.
Improvement of integration through building of data lakes and performing real-time processing on change data from users' data stores.

AWS Database Migration Service Components

AWS Database Migration Service consists of various components which function together to achieve users’ data migration. A migration on AWS DMS is structured in three levels: a replication instance, source and target endpoints, and a replication task. The components include the following actions:

Replication instance: AWS Database Migration Service provides users with a variety of replication instances, allowing them to select the optimal configuration for their use case. Depending on the instance class an organization selects, their replication instance provides a different amount of data storage.
Endpoint: AWS DMS uses an endpoint to access users' source or target data stores. The connection information is different and depends on the specific data store, but it usually consists of the following information: endpoint type, engine type, server name, port, encryption, and credentials. This information can easily be managed through the AWS DMS console.
Replication tasks: AWS Database Migration Service replication tasks can be used to move a set of data from the source endpoint to the target endpoint. The creation of a replication task is the last required step before starting a migration. Each replication task requires the following settings to be set: replication instance, source endpoint, target endpoint, and migration type options.
Ongoing replication or change data capture (CDC): AWS DMS also has the capacity to capture ongoing changes to the source that is stored while users migrate their data to a target.
Schema and code migration: The product requires assistance from tools such as MySQL Workbench, pgAdmin III, and Oracle SQL Developer to perform schema or code conversion, as it cannot do it on its own.

AWS Database Migration Service Benefits

AWS Database Migration Service offers its users a wide range of benefits. Among them are the following:

The solution ensures minimal downtime, as it continuously replicates the changes to the user’s source database during migration.
AWS DMS provides users with flexibility, as it supports many commonly used databases, including commercial and open-source ones.
The product is user friendly, as it offers an easy set of tasks in the AWS Management Console.
Users of Aurora, Redshift, DocumentDB, and DynamoDB can benefit from the free use of AWS DMS.
AWS Database Migration Service is very reliable because it is a self-healing service that automatically restarts in cases of interruptions.
The product supports both homogenous migrations and heterogenous migrations.
AWS DMS accelerates business growth, as it scales businesses at an affordable price.

Reviews from Real Users

Vishal S., an infrastructure lead at a computer software company, likes AWS Database Migration Service because it is easy to use and set up.

Vinod K., a data analyst at AIMLEAP, describes AWS DMS as an easy solution to save and extract data.

Amazon Web Services (AWS)

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

Veoci, Trimble, Nasdaq, shaadi.com, Hotelbeds, SysAid, Verizon, Expedia, Pega

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

Buyer's Guide

AWS Database Migration Service vs. Matillion Data Productivity Cloud

April 2025

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