AWS Glue vs MuleSoft Composer comparison

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Amazon Web Services (AWS) Logo
11,729 views|8,292 comparisons
92% willing to recommend
MuleSoft Logo
1,344 views|1,133 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between AWS Glue and MuleSoft Composer based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed AWS Glue vs. MuleSoft Composer Report (Updated: March 2024).
769,662 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution helps organizations gain flexibility in defining the structure of the data.""AWS Glue is a stable and easy-to-use solution.""I like its integration and ability to handle all data-related tasks.""Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs.""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.""What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours.""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.""The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."

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"The advantage of using MuleSoft as part as the Salesforce ecosystem is that anything new they build is guaranteed to work with the new features that are coming from the other side.""The prebuilt connectors have saved our customers a lot of time and money.""The product is easy to use. You don't need programming skills to use it."

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Cons
"If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data.""The solution could be cheaper. The price of the solution is an area that needs improvement.""The mapping area and the use of the data catalog from Glue could be better.""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.""The technical support for this solution could be improved. In future, we would like to connect more services like Athena or Kinesis to help control more loads of data.""I have encountered challenges with multi-region support.""The solution’s stability could be improved.""I would like to see stable libraries at the moment they are not there."

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"MuleSoft Composer needs to improve its interface and scalability.""The technical support team's response time must be improved.""This solution could be improved by offering more integrations with other platforms."

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Pricing and Cost Advice
  • "The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes."
  • "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."
  • "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."
  • "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."
  • "This solution is affordable and there is an option to pay for the solution based on your usage."
  • "AWS Glue is quite costly, especially for small organizations."
  • "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."
  • "The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."
  • More AWS Glue Pricing and Cost Advice →

  • "Salesforce is licensed by user and by products and so pricing depending on what your requirements are."
  • "MuleSoft Composer is affordable, and I rate its pricing a five to six out of ten."
  • "The tool is a bit expensive."
  • More MuleSoft Composer Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer:The prebuilt connectors have saved our customers a lot of time and money.
    Top Answer:The tool is a bit expensive. However, we must pay a premium price for the best solutions. It would be great if the pricing could be reduced by 20% to 30%. Then, medium-level companies would be able to… more »
    Top Answer:The product must create more awareness and enable more use cases. It will help us use the solution for current problems. The vendor must reach out to the technical leads of organizations and teach… more »
    Ranking
    1st
    Views
    11,729
    Comparisons
    8,292
    Reviews
    32
    Average Words per Review
    419
    Rating
    7.8
    13th
    Views
    1,344
    Comparisons
    1,133
    Reviews
    3
    Average Words per Review
    313
    Rating
    7.7
    Comparisons
    Also Known As
    MuleSoft Composer for Salesforce
    Learn More
    Overview

    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.

    Connect apps and data to Salesforce quickly and easily with clicks, not code — all inside of the Salesforce UI.

    Enrich your 360-degree customer view by empowering your Salesforce admins with a no-code solution for quickly unlocking data, connecting apps, and automating integrations to boost productivity.

    - Build integrations easily with clicks, not code — all inside Salesforce
    - Hit the ground running with a growing library of prebuilt connectors
    - Preview as you build connections and design with real data
    - Monitor any errors with automatic alerts

      Sample Customers
      bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
      Information Not Available
      Top Industries
      REVIEWERS
      Computer Software Company47%
      Financial Services Firm18%
      Pharma/Biotech Company12%
      Consumer Goods Company6%
      VISITORS READING REVIEWS
      Financial Services Firm19%
      Computer Software Company14%
      Manufacturing Company7%
      Insurance Company7%
      VISITORS READING REVIEWS
      Computer Software Company29%
      Financial Services Firm9%
      Manufacturing Company9%
      Government6%
      Company Size
      REVIEWERS
      Small Business29%
      Midsize Enterprise13%
      Large Enterprise58%
      VISITORS READING REVIEWS
      Small Business15%
      Midsize Enterprise12%
      Large Enterprise73%
      VISITORS READING REVIEWS
      Small Business18%
      Midsize Enterprise13%
      Large Enterprise68%
      Buyer's Guide
      AWS Glue vs. MuleSoft Composer
      March 2024
      Find out what your peers are saying about AWS Glue vs. MuleSoft Composer and other solutions. Updated: March 2024.
      769,662 professionals have used our research since 2012.

      AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while MuleSoft Composer is ranked 13th in Cloud Data Integration with 3 reviews. AWS Glue is rated 7.8, while MuleSoft Composer is rated 7.6. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". On the other hand, the top reviewer of MuleSoft Composer writes "The prebuilt connectors save a lot of time and money, but the customer support and price must be improved". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas MuleSoft Composer is most compared with Mule Anypoint Platform, Workato, Celigo Integration Platform, Microsoft Azure Logic Apps and Zapier. See our AWS Glue vs. MuleSoft Composer 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.