AWS Glue vs Matillion ETL comparison

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12,051 views|8,582 comparisons
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Comparison Buyer's Guide
Executive Summary

We performed a comparison between AWS Glue and Matillion ETL 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. Matillion ETL Report (Updated: March 2024).
765,234 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
"AWS Glue's best features are scalability and cloud-based features.""AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software.""The product has a valuable feature for data catalog.""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.""The solution integrates well with other AWS products or services.""AWS Glue is a stable and easy-to-use solution.""The most valuable feature of AWS Glue is scalability.""The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."

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"It has good integrations with Amazon Redshift and other AWS services.""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.""The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool.""The technical support treats us well. They already have a support portal, and they are responsive, which helps.""The most valuable feature of Matillion ETL is the ETL. The solution is open-source which provides advantages, such as good performance and high efficiency. Additionally, it supports three data types which eliminates predefining the data, and we can write script models in Python.""It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs.""It's been able to do everything we require.""The loading of data is the most valuable feature of Matillion ETL."

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Cons
"The monitoring is not that good.""I would like to see stable libraries at the moment they are not there.""There is a learning curve to this tool.""There should be more connectors for different databases.""It fails to handle massive databases acquired from various sources.""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.""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.""The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."

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"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves.""While the UI is good, it could be improved in its efficiency and made easier to use.""I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly.""Performance can be improved for efficiency, and it can be made faster.""The product must enhance its near-real-time data capture feature.""The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine.""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.""The tool's lineage is very weak."

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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 →

  • "I have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research."
  • "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."
  • "The prices needs to be lower."
  • "It was very easy to purchase through the AWS Marketplace, but it was also 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."
  • "It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."
  • "The AWS pricing and licensing are a cost-effective solution for data integration needs."
  • "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."
  • More Matillion ETL 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:It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth
    Top Answer:We pay $5.40 per EC2 running hour, and we can reduce costs by stopping and starting the EC2 instances strategically. For instance, in our production environment, we run it for sixteen hours a day… more »
    Top Answer:There's room for improvement in how it handles data streaming capabilities. Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes… more »
    Ranking
    1st
    Views
    12,051
    Comparisons
    8,582
    Reviews
    30
    Average Words per Review
    398
    Rating
    7.9
    4th
    Views
    3,495
    Comparisons
    2,369
    Reviews
    11
    Average Words per Review
    701
    Rating
    8.6
    Comparisons
    Also Known As
    Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
    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.

    Matillion ETL is a powerful tool for extracting, transforming, and loading large amounts of data from various sources into cloud data warehouses like Snowflake. Its ability to load data dynamically and efficiently using metadata is a standout feature, as is its open-source ETL with good performance and high efficiency. 

    The solution has a graphical interface for jobs, is easily adjustable and extensible, and allows for scheduling and error reporting. Matillion ETL has helped organizations move to a cloud-based solution, bridge the gap between on-premises and on-cloud, and perform complex migration projects.

    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
    Top Industries
    REVIEWERS
    Computer Software Company47%
    Financial Services Firm18%
    Pharma/Biotech Company12%
    Consumer Goods Company6%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company13%
    Insurance Company7%
    Manufacturing Company7%
    REVIEWERS
    Manufacturing Company36%
    Financial Services Firm36%
    Healthcare Company9%
    Computer Software Company9%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Government8%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise13%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    REVIEWERS
    Small Business23%
    Midsize Enterprise36%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise68%
    Buyer's Guide
    AWS Glue vs. Matillion ETL
    March 2024
    Find out what your peers are saying about AWS Glue vs. Matillion ETL and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Matillion ETL is ranked 4th in Cloud Data Integration with 22 reviews. AWS Glue is rated 7.8, while Matillion ETL is rated 8.6. 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 Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and SnapLogic, whereas Matillion ETL is most compared with Azure Data Factory, Snowflake, Informatica PowerCenter, SSIS and Informatica Cloud Data Integration. See our AWS Glue vs. Matillion ETL 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.