AWS Database Migration Service is praised for seamless integration, efficient migration, and customer support, while customers find the pricing competitive. In contrast, AWS Glue is commended for efficient data integration, automation, and robust processing power. Users also value its customer service and flexible pricing. Areas for improvement for Database Migration include setup streamlining, improved documentation, monitoring enhancement, and complexity reduction, while Glue users suggest user-friendliness, better troubleshooting documentation, performance and reliability improvements, and advanced customization options.

Features: The valuable features of AWS Database Migration Service include seamless integration with other AWS services, efficient data migration, user-friendly interface, robust data validation, and excellent customer support. On the other hand, AWS Glue stands out with its efficient data integration capabilities, advanced automation abilities, seamless integration with other AWS services, ease of setting up and monitoring data transformations, comprehensive pre-built connectors, and robust processing power.

Pricing and ROI: According to user feedback, AWS Database Migration Service offers reasonable setup costs and flexible licensing options. On the other hand, AWS Glue has minimal setup costs, a straightforward licensing process, and an affordable pricing structure. Users have expressed satisfaction with Glue's hassle-free setup and fair licensing terms., The ROI from utilizing AWS Database Migration Service has been profitable, while AWS Glue offers a valuable and cost-effective solution with scalability and flexibility.

Room for Improvement: Areas for improvement in AWS Database Migration Service include streamlining setup, improving documentation, addressing compatibility issues, enhancing monitoring capabilities, and reducing overall complexity. On the other hand, AWS Glue users have suggested improvements in user-friendliness, documentation, reliability, performance, customization options, advanced features, and specific use case capabilities.

Deployment and customer support: In comparing the user reviews for AWS Database Migration Service and AWS Glue, it can be seen that some users reported spending three months on deployment and an additional week on setup for AWS Database Migration Service. On the other hand, for AWS Glue, various timeframes were mentioned, including three months for deployment and an additional week for setup. However, if users mentioned a week for both deployment and setup, it implies that these terms refer to the same period and should be considered as one., The customer service and support provided by AWS Database Migration Service have been praised for their excellence, responsiveness, and knowledge. On the other hand, users have expressed satisfaction with AWS Glue's customer service, describing it as reliable, helpful, and responsive.

The summary above is based on 51 interviews we conducted recently with AWS Database Migration Service and AWS Glue users. To access the review's full transcripts, download our report.

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

Buyer's Guide

AWS Database Migration Service vs. AWS Glue

July 2024

Download the complete report

Helped 793,295 peers since 2012

Categories and Ranking

AWS Database Migration Service

Ranking in Cloud Data Integration

2nd

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

AWS Glue

Ranking in Cloud Data Integration

1st

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2024, in the Cloud Data Integration category, the mindshare of AWS Database Migration Service is 25.4%, up from 17.5% compared to the previous year. The mindshare of AWS Glue is 29.3%, up from 24.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration

Unique Categories:

No other categories found

Featured Reviews

reviewer1688958

Net Full-Stack developer at a tech services company with 201-500 employees

Oct 21, 2021

Works well with large databases, but could use more integration with other tools

We don't use Data Migration Services regularly. We only use it when we need to migrate a relatively large database from on-premises to the cloud. From my point of view, it was the best option in this case It provided the ability to create more, less optimized data warehouses. And simplify support…

Read full review

ParamShah

Engineering Manager at Milestone Technologies

Jan 16, 2024

A cloud solution with easy configuration with output limitation

There are output limitations and configuration of its three parts. There was a lot of trial and error that we had to go through. It is not clear how the partition discovery would have been affected by more data coming in. We've made some expensive mistakes, which, if there were any tutorials available or if there was easy documentation available with FAQs, could have been avoided. There is documentation, but it doesn't cover all. There are three specific partition changes, and AWS Glue is tightly tied to Athena. We don't have much flexibility in managing the Athena. AWS Glue could integrate with an AI model or a more advanced version that processes chat-based inputs rather than configuration. This would align it more closely with the functionalities of chat-based interfaces, making it easier to adopt.

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

"It's scalable."

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

"The product is cheaper than all platforms"

"The Schema Conversion Tool helps to covert the convertible objects and define the non-convertible objects"

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

"The installation is easy."

"It's pretty useful when we need to migrate something big from a different type of database that AWS Data Migration Services supports."

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

More AWS Database Migration Service pros

"It's very good to manage."

"AWS Glue is fast and managed by AWS. Hence, you don't have to worry about capacity and the performance of Glue jobs. It has integrations with other data stores of AWS. The product offers metadata management, logging, and ETL processing capabilities. It comes with a powerful feature, Glue Studio, which helps to do queries interactively within the community. It is a managed service and very secure. Another popular and mature service is S3."

"I also like that you can add custom libraries like JAR files and use them. So, the ability to use a fast processing engine and embed basic jobs easily are significant advantages."

"I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations."

"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it."

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

"Data catalog and triggers are the two best features for me. AWS Glue has its own data catalog, which makes it great and really easy to use. Triggers are also really good for scheduling the ETL process."

"The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."

More AWS Glue pros

Cons

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

"The performance of data migration could be smoother."

"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."

"The cost is a concern. We use DMS because of its simplicity, but the price could definitely be more competitive."

"There are a set of complexities and challenges when a user wants to integrate AWS products with Microsoft products."

"The names of the services need improvement since AWS doesn't indicate what the function of the product is presently. You need to read a lot to find the service that you want in the product."

"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."

More AWS Database Migration Service cons

"The interface for AWS Glue could improve, they do not put a lot of details. You can write the code, in PySpark or in Scala, which is a big advantage, it is only easy to use for a developer. It will be difficult for new users to enter the cloud environment."

"Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."

"It is not clear how the partition discovery would have been affected by more data coming in."

"Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS."

"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."

"The monitoring is not that good."

"The solution's visual ETL tool is of no use for actual implementation."

"It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options."

More AWS Glue cons

Pricing and Cost Advice

"The product is pretty expensive"

"Pricing can be improved."

"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 solution’s pricing is reasonable."

"Cost is the only factor that is challenging."

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

"AWS Database Migration Service is very inexpensive."

More AWS Database Migration Service pricing and cost advice

"The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."

"Its price is good. We pay as we go or based on the usage, which is a good thing for us because it is simple to forecast for the tool. It is good in terms of the financial planning of the company, and it is a good way to estimate the cost. It is also simple for our clients. In my opinion, it is one of the best tools in the market for ETL processes because of the fact that you pay as you use, which separates it from other big tools such as PowerCenter, Pentaho Data Integration, and Talend."

"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."

"Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."

"The solution's pricing is based on DPUs so it is a good idea to optimize use or it can get expensive."

"This solution is affordable and there is an option to pay for the solution based on your usage."

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

More AWS Glue 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

793,295 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

14%

Manufacturing Company

Government

Financial Services Firm

20%

Computer Software Company

14%

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...

See all answers

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. ...

See all answers

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...

See all answers

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

Oracle GoldenGate vs AWS Database Migration Service

Compared 18% of the time

Qlik Replicate vs AWS Database Migration Service

Compared 12% of the time

Fivetran vs AWS Database Migration Service

Compared 6% of the time

Confluent vs AWS Database Migration Service

Compared 2% of the time

Oracle GoldenGate Cloud Service vs AWS Database Migration Service

Compared 2% of the time

More AWS Database Migration Service Competitors

Informatica PowerCenter vs AWS Glue

Compared 9% of the time

Informatica Cloud Data Integration vs AWS Glue

Compared 7% of the time

SSIS vs AWS Glue

Compared 6% of the time

Talend Open Studio vs AWS Glue

Compared 4% of the time

Oracle Integration Cloud Service vs AWS Glue

Compared 4% of the time

More AWS Glue Competitors

Product Reports

Buyer's Guide

AWS Database Migration Service

July 2024

Download AWS Database Migration Service product report

Buyer's Guide

AWS Glue

July 2024

Download AWS Glue product report

Also Known As

AWS Data Migration Service

No data available

Learn More

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

July 2024

Free Report: AWS Database Migration Service vs. AWS Glue

Find out what your peers are saying about AWS Database Migration Service vs. AWS Glue and other solutions. Updated: July 2024.

DOWNLOAD NOW

793,295 professionals have used our research since 2012.

See our AWS Database Migration Service vs. AWS Glue 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.