AWS Database Migration Service vs AWS Glue comparison

AWS Database Migration Service and AWS Glue are both solutions in the Cloud Data Integration category. AWS Database Migration Service is ranked #2 with an average rating of 8.2, while AWS Glue is ranked #1 with an average rating of 7.6. AWS Database Migration Service holds a 21.0% mindshare in CDI, compared to AWS Glue’s 24.8% mindshare. Additionally, 93% of AWS Database Migration Service users are willing to recommend the solution, compared to 91% of AWS Glue users who would recommend it.

AWS Database Migration Service

Read 30 AWS Database Migration Service reviews

5,920 Views
4,932 Comparison Views

93% willing to recommend

AWS Glue

Read 46 AWS Glue reviews

9,044 Views
6,563 Comparison Views

91% willing to recommend

AWS Database Migration Service

AWS Glue

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 8, 2024

AWS Database Migration Service and AWS Glue are leaders in cloud data integration and migration. AWS Glue appears to have the upper hand due to its extensive feature set and flexibility for complex ETL services, offering significant value despite a higher price point.

Features: AWS DMS offers a straightforward database migration approach, continuous data replication, and support for various databases, simplifying migration efforts. AWS Glue provides powerful ETL functionalities, end-to-end data integration, and efficient data extraction, transformation, and loading, making it suitable for complex data workflows.

Room for Improvement: AWS DMS could enhance error handling, improve support for additional database sources, and increase versatility. AWS Glue users seek better transformation capabilities, more performance optimization tools, and continuous adaptation to user feedback, which slightly edges DMS in updates.

Ease of Deployment and Customer Service: AWS DMS is known for easy migration setup and adequate customer support for initial deployments. AWS Glue has advanced capabilities leading to a steeper learning curve but offers robust customer service to maximize its complex data transformation functionalities.

Pricing and ROI: AWS DMS offers competitive pricing with visible ROI in standard migrations. AWS Glue, while higher in initial setup costs, delivers strong ROI through broad data processing abilities, offering considerable value for handling extensive data processing needs.

To learn more, read our detailed AWS Database Migration Service vs. AWS Glue Report (Updated: December 2024).

Buyer's Guide

AWS Database Migration Service vs. AWS Glue

December 2024

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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

AWS Glue

Ranking in Cloud Data Integration

1st

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2025, in the Cloud Data Integration category, the mindshare of AWS Database Migration Service is 21.0%, down from 21.2% compared to the previous year. The mindshare of AWS Glue is 24.8%, up from 24.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration

Featured Reviews

StevenLai

Sr. Data Engineer at Amrock

Straightforward to set up with easy of capturing database changes and secure storage

Sometimes we encounter errors, and the error messages from DMS are very ambiguous and sometimes misleading. For example, if we connect to an incorrect instance with incorrect setups, it will not say the connection failed. Instead, it says the DMS task failed with an unclear error message like 'subtask AWS failed', which does not help. The connection should fail if we are connecting to the wrong instance, but the endpoint connection still succeeds.

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Ajaykumar Myana

Senior Software Developer at a computer software company with 10,001+ employees

Provides serverless mechanism, easy data transformation and automated infrastructure management

We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure. This allowed us to focus on the code and application logic without concerns about scaling, CPU management, or handling fluctuations in flow. The serverless nature of Glue jobs relieved us from these infrastructure-related worries.

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Quotes from Members

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

Pros

"As the solution is on the cloud, we don't have to worry about the maintenance of software."

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

"The most valuable feature of AWS Database Migration Service is it catches all the history changes, such as inset, observe, and delete. It tracks everything."

"Support is helpful."

"One of the features, I find most valuable is its ability to apply rules and transformations to data during real-time integration. This includes changing schema names or table structures on AWS without delaying the data flow. Initially, full migrations can vary widely in time depending on the source system; for instance, a large Magento database might take up to six months, while smaller databases like IBM DB2 could migrate within hours. Once set up, AWS DMS ensures real-time synchronization using Change Data Capture (CDC), maintaining data integrity throughout the process."

"The solution is instantaneous. We can launch the service and reduce the end number of manpower."

"The process is now simplified because there won't be maintenance. Usually we can take a snapshot of the number I need. We can automate the backup snapshots and we can restore it very quickly. We get many benefits from the application."

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

More AWS Database Migration Service pros

"Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."

"The product has a valuable feature for data catalog."

"Its ease of use, cost-effectiveness, and highly secure architecture are some of the most valuable features."

"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."

"I like its integration and ability to handle all data-related tasks."

"The solution is stable and reliable."

"The most valuable feature for me is the visual interface of AWS Glue."

"The solution helps organizations gain flexibility in defining the structure of the data."

More AWS Glue pros

Cons

"The server has limits on how many can connect to the database."

"There is no connectivity to the source database or the target database."

"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."

"If they had some sort of functionality where, at a specific point in time, if I want to start a new job, it should automatically pick up from where it has been left rather than having people worry about the exact job number and the timing."

"Whatever solution worked today can not be reused in the next migration."

"The product's performance could be a little bit better."

"There could be enhancements in the product intelligently covering more scenarios to prevent crashes or failures."

"It would be helpful if the bandwidth could be independent of the network or if we could have a dedicated bandwidth for this product."

More AWS Database Migration Service cons

"In terms of improvement, the performance of AWS Glue could be faster."

"In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement."

"There is a learning curve to this tool."

"AWS Glue would be improved by making it easier to switch from single to multi-cloud."

"I have encountered challenges with multi-region support."

"While working on AWS Glue, I could not find any training material for it."

"The product is expensive for data streaming. This area needs improvement."

"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."

More AWS Glue cons

Pricing and Cost Advice

"The pricing is on the higher side."

"The pricing is per hour, though I do not have the exact figures. If you have specific questions about the service, a personal support team from Amazon is available, but this will bring in additional costs."

"The solution’s pricing is reasonable."

"Cost is the only factor that is challenging."

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

"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."

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

"Pricing can be improved."

More AWS Database Migration Service pricing and cost advice

"AWS Glue follows a pay-as-you-go model, wherein the cost of the data you use will be counted as a monthly bill."

"AWS Glue uses a pay-as-you-go approach which is helpful. The price of the overall solution is low and is a great advantage."

"It is not expensive. AWS Glue works on the serverless architecture. We get charged for the time the server is up. For our use case, we have to use it once in a day, and it is not expensive for us."

"It is an expensive product. I rate its pricing a nine out of ten."

"AWS Glue is a paid service that doesn't come under the free trial of AWS."

"I rate the tool an eight on a scale of one to ten, where one is expensive, and ten is expensive."

"I rate the tool's pricing a four out of ten."

"I would rate the solution a six or seven on a scale of one to ten, with ten being very expensive. Specifically, I rate its pricing a six out of ten."

More AWS Glue pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

14%

Manufacturing Company

Government

Financial Services Firm

22%

Computer Software Company

13%

Manufacturing Company

Insurance 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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How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Talend Open Studio compare with AWS Glue?

We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...

See all answers

What are the most common use cases for AWS Glue?

AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or ma...

See all answers

Comparisons

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Compared 3% of the time

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Compared 7% of the time

Informatica PowerCenter vs AWS Glue

Compared 5% of the time

SSIS vs AWS Glue

Compared 5% of the time

Talend Open Studio vs AWS Glue

Compared 5% of the time

SnapLogic vs AWS Glue

Compared 4% of the time

More AWS Glue Competitors

Product Reports

Buyer's Guide

AWS Database Migration Service

December 2024

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Buyer's Guide

AWS Glue

December 2024

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Also Known As

AWS Data Migration Service

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Amazon Web Services (AWS)

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.

AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.

AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.

The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.

AWS Glue Features

AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:

Automatic schema discovery: AWS Glue crawlers connect to the organization's source or target data source through a prioritized list of classifiers to determine the schema for users' data. This feature creates metadata in companies' AWS Glue Data Catalog.
Schemas for data stream management: The AWS Glue Schema Registry enables users to validate and control the evolution of streaming data through registered Apache Avro schemas for no additional charge.
Automatic scaling based on workload: This feature dynamically scales resources up and down based on workload. The feature controls job resources, removing them depending on how much the workload can be split up.
FindMatches: This feature is for machine learning-based data deduplication and cleansing, and works by finding records that are imperfect matches of each other to remove useless data copies.
Edit, debug, and test ETL code: This feature helps users who have chosen to interactively develop their ETL code by providing development endpoints for editing, debugging, and testing the code it generates for them.
AWS Glue DataBrew: An interactive, point-and-click visual interface for specialists to clean and normalize data without the need to write any code.
AWS Glue Interactive Sessions: This feature simplifies the development of data integration jobs by enabling data engineers to interactively prepare and explore data.
AWS Glue Studio Job Notebooks: This AWS Glue feature provides serverless notebooks with minimal setup, allowing developers to start working in a timely manner.
Complex ETL pipeline building: This feature allows the product to be invoked on a schedule, on demand, or based on an event, allowing users to start multiple jobs in parallel or specify dependencies to build complex ETL pipelines.
AWS Glue Studio: This AWS Glue feature allows users to visually transform data through a drag-and-drop interface. The product automatically generates the code for ETL processes for users' data.

AWS Glue Benefits

AWS Glue offers a wide range of benefits for its users. These benefits include:

Users of other AWS products can easily onboard with AWS Glue, as it is integrated across a wide range of the company's services.
The solution is serverless, which allows for a lower total cost of ownership.
AWS Glue offers more power for users, as it automates much of the effort in building, maintaining, and running ETL jobs.
The product allows customers to easily discover and search across all their AWS datasets through AWS Glue Data Catalog.
AWS Glue does not require additional payment for managing and enforcing schemas for data streams.
The solution facilitates the authority of scalable ETL jobs for beginners and non-coding experts through a drag-and-drop interface.

Reviews from Real Users

Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.

Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.

Sample Customers

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

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

Buyer's Guide

AWS Database Migration Service vs. AWS Glue

December 2024

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