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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS Glue

    Score7.5 out of 10
    N/AAWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL.

    $0.44

    billed per second, 1 minute minimum

    Matillion

    Score8 out of 10
    N/AMatillion is a data pipeline platform used to build and manage pipelines. Matillion empowers data teams with no-code and AI capabilities to be more productive, integrating data wherever it lives and delivering data that’s ready for AI and analytics.

    $2.50

    Pay as you go per user

    Pricing
    AWS GlueMatillion
    Editions & Modules
    per DPU-Hour
    $0.44
    billed per second, 1 minute minimum
    Developer: For Individuals
    $2.50/credit
    Pay as you go per user
    Basic
    $1000
    per month 500 prepaid credits (additional credits: $2.18/credit)
    Advanced
    $2000
    per month 750 prepaid credits (additional credits: $2.73/credit)
    Enterprise
    Request a Quote
    Offerings
    Pricing Offerings
    AWS GlueMatillion
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Billed directly via cloud marketplace on an hourly basis, with annual subscriptions available depending on the customer's cloud data warehouse provider.
    More Pricing Information
    Community Pulse
    AWS GlueMatillion
    Considered Both Products
    Amazon AWS
    No answer on this topic
    Matillion
    Chose Matillion
    The Matillion selection was not my decision. But I think it's a good enough choice. It is especially valuable that the team can learn Matillion easily and that the project can be understood by the entire team with the visual environment instead of complex ETLs.
    Incentivized
    Chose Matillion
    Removes most of the complexity around setting up and preparing things.
    If you could describe with words what needs to be done to move data from A to B, the implementation in Matillion would probably be the most similar in terms of simplicity of understanding what you are doing …
    Incentivized
    Chose Matillion
    Matillion is much easier to set up and easier to work for the team. Offers a lot more connections which are easier to set up. Environment variables make it easy to set up once and job creation is easy. We use Metadata tables to just loop through the list of tables that need to …
    Incentivized
    Chose Matillion
    Overall had a better value for money
    Incentivized
    Chose Matillion
    When compared with other technologies , Matillion was cost effective , more scalable and flexible in terms of complexity and components. The licensing cost of Matillion was also less and the flexibility with components helps in implementing complex business logics. The training …
    Incentivized
    Chose Matillion
    Matillion has better documentation, is easier to pick up on, and is better supported. Glue doe shave pyspark though and might handle Big Data more effectively.
    Incentivized
    Chose Matillion
    It is much easier to use in terms of GUI capabilities. The only reason we would use an ETL tool other than our own manually written SQL scripts, is to be able to allow other engineers to use it without having one domain expert stuck on the inner working of complex scripts. So …
    Incentivized
    Chose Matillion
    At that time, ~3 years ago, none of the competitors were as easy to start using as Matillion. As our team was not so experienced with ETL, Matillion was the best and easiest way to get our hands dirty with defining pipelines.
    Incentivized
    Chose Matillion
    Matillion provided much more flexibility than the other products we tested, at a much lower price point. Other products, in my view, had a cleaner/simpler UI but I also felt that they offered much less functionality. A key design pattern we had to deliver was to perform delta …
    Incentivized
    Chose Matillion
    It has a drag-&-drop graphical UI, which makes it easy to connect all the components together. It's very fast to set up from cloud marketplace. It supports many data sources and it also provides a customizable data source component.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    8 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    7 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    8 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    7 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    No answers on this topic
    TrustRadius Insights
    AWS GlueMatillion
    Highlights

    TrustRadius
    Research Team Insight
    Published

    AWS Glue and Matillion are both software designed to help organizations extract and transform business data. AWS Glue is a data preparation tool, designed to help businesses prepare data for analysis, bypassing a data warehouse when possible.  Matillion is a data integration tool designed to help businesses quickly pool together data from multiple sources such as SaaS applications.

    Features

    AWS Glue and Matillion both provide ETL features, but they also have a few unique features that set them apart from each other.

    AWS Glue has support for data lakes, allowing businesses to prepare and integrate raw data and blob files with ease. Additionally, developers can create scripts to integrate data into AWS Glue that isn’t natively supported using Python or Scala. Lastly, AWS Glue helps businesses keep their business data compliant with regulatory guidelines including HIPAA and GDPR, making it a good choice for medical businesses.

    Matillion provides built in support for over 40 SaaS applications.  This makes Matillion a good choice for businesses with many applications they need to pull data from, particularly if they lack the resources or ability to make custom integrations.  Additionally, Matillion provides features for data ingestion and business intelligence.

    Limitations

    Though AWS Glue and Matillion both help organizations transform data, they also have some limitations that are important to consider.

    AWS Glue doesn’t provide built in integrations for SaaS application, though it is possible to build custom integrations.  For businesses with limited resources or without a dedicated development team, AWS Glue may not provide enough support for data integration.  Additionally, AWS Glue includes some analytics features, but ultimately provides limited business intelligence features.

    Matillion offers support for SaaS applications, but doesn’t provide significant support for building out new integrations.  Businesses with niche applications that aren’t covered by Matillion may consider other options.  Additionally, Matillion offers support for ensuring regulatory compliance, but only for GDPR.  Businesses storing medical data may prefer other options that also ensure HIPAA compliance.

    Pricing

    AWS Glue pricing depends on the needs of the business and the amount of data processes performed.  Despite this, AWS does provide some pricing examples so businesses have an idea of what they might be spending, such as this: “$0.44 per DPU-Hour, billed per second, with a 1-minute minimum for each ETL job of type Python shell”.  Businesses looking for specific pricing information can reach out to the vendor for a quote.

    Matillion pricing similarly depends on the needs of the business, but it starts as low as $1.37 an hour and offers support for Amazon Redshift, Google BigQuery, Azure Synapse Analytics, and Snowflake.

    Features
    AWS GlueMatillion
    Data Source Connection
    Comparison of Data Source Connection features of AWS Glue and Matillion
    Feature
    AWS Glue
    -
    Ratings
    Matillion
    8.5
    131 Ratings
    1% above category average
    Connect to traditional data sources00 Ratings8.9130 Ratings
    Connecto to Big Data and NoSQL00 Ratings8.190 Ratings
    Data Transformations
    Comparison of Data Transformations features of AWS Glue and Matillion
    Feature
    AWS Glue
    -
    Ratings
    Matillion
    7.0
    132 Ratings
    15% below category average
    Simple transformations00 Ratings7.6132 Ratings
    Complex transformations00 Ratings6.5131 Ratings
    Data Modeling
    Comparison of Data Modeling features of AWS Glue and Matillion
    Feature
    AWS Glue
    -
    Ratings
    Matillion
    8.3
    124 Ratings
    4% above category average
    Data model creation00 Ratings9.133 Ratings
    Metadata management00 Ratings9.140 Ratings
    Business rules and workflow00 Ratings8.4116 Ratings
    Collaboration00 Ratings7.5116 Ratings
    Testing and debugging00 Ratings7.7117 Ratings
    Data Governance
    Comparison of Data Governance features of AWS Glue and Matillion
    Feature
    AWS Glue
    -
    Ratings
    Matillion
    8.2
    23 Ratings
    1% above category average
    Integration with data quality tools00 Ratings8.222 Ratings
    Integration with MDM tools00 Ratings8.220 Ratings
    Best Alternatives
    AWS GlueMatillion
    Small Businesses
    No answers on this topic
    Skyvia
    Score9.9 out of 10
    Medium-sized Companies
    Toad Data Point
    Score7.9 out of 10
    IBM InfoSphere Information Server
    Score8 out of 10
    Enterprises
    Datameer
    Score8.4 out of 10
    SolarWinds Task Factory
    Score8.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS GlueMatillion
    Likelihood to Recommend
    7.0
    (8 ratings)
    8.0
    (133 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.6
    (6 ratings)
    Usability
    7.0
    (1 ratings)
    7.2
    (132 ratings)
    Support Rating
    7.0
    (1 ratings)
    7.4
    (7 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.2
    (1 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    9.0
    (1 ratings)
    Data Sources
    -
    (0 ratings)
    9.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    7.5
    (126 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.1
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.1
    (1 ratings)
    User Testimonials
    AWS GlueMatillion
    Likelihood to Recommend
    Amazon AWS
    One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
    Incentivized
    Read full review
    Matillion
    Great: Need to query simpler APIs, or utilize well known services such as GSheets etc.? Matillion has got some of the best and easiest to use connectors out there. Not so great: Do you need have a competent CI/CD flow that you will be able to update / compare from Matillion as well as other sources at the same time? Good luck, you will need to be extra careful, as you might have to have a deeper dive into your servers Terminal each time you have a git conflict.
    Incentivized
    Read full review
    Pros
    Amazon AWS
    • It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
    • As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
    • It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
    Incentivized
    Read full review
    Matillion
    • The user interface of your data pipelines makes it easier for people who aren’t as techy as data engineers to observe what's going on.
    • Customer support is quick, not always as efficient as you would want it to be, but still.
    • Nice documentation available.
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • In-Stream schema registries feature people can not use this more efficiently
    • in Connections feature they can add more connectors as well
    • The crucial problem with AWS Glue is that it only works with AWS.
    Incentivized
    Read full review
    Matillion
    • Matillion is brilliant at importing data -- it would be amazing to have more ways to export data, from emailed exports to API pushes.
    • Any Python that takes more than a few lines of code requires an external server to run it. It would be great to have more integration (perhaps in a connected virtual environment) to easily integrate customized code.
    • Troubleshooting server logs requires quite a bit of technical expertise. More human readable detailed error handling would be greatly appreciated.
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    No answers on this topic
    Matillion
    With the current experience of Matillion, we are likely to renew with the current feature option but will also look for improvement in various areas including scalability and dependability. 1. Connectors: It offers various connectors option but isn't full proof which we will be looking forward as we grow. 2. Scalability: As usage increase, we want Matillion system to be more stable.
    Incentivized
    Read full review
    Usability
    Amazon AWS
    While easy to set up and manage monitoring for large datasets, its complexity can be a barrier for new users. Integration with AWS Ecosystem, Managed Monitoring, Dashboards and monitoring tools for AWS Glue are generally easy to set up and maintain, Automated Data Pipelines. Automates data pipeline creation, making it efficient for certain data integration
    Incentivized
    Read full review
    Matillion
    We are able to bring on new resources and teach them how to use Matillion without having to invest a significant amount of time. We prefer looking for resources with any type of ETL skill-set and feel that they can learn Matillion without problem. In addition, the prebuilt objects cover more than 95% of our use cases and we do not have to build much from scratch.
    Read full review
    Support Rating
    Amazon AWS
    Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
    Incentivized
    Read full review
    Matillion
    Overall, I've found Matillion to be responsive and considerate. I feel like they value us as a customer even when I know they have customers who spend more on the product than we do. That speaks to a motive higher than money. They want to make a good product and a good experience for their customers. If I have any complaint, it's that support sometimes feels community-oriented. It isn't always immediately clear to me that my support requests are going to a support engineer and not to the community at large. Usually, though, after a bit of conversation, it's clear that Matillion is watching and responding. And responses are generally quick in coming.
    Incentivized
    Read full review
    Implementation Rating
    Amazon AWS
    No answers on this topic
    Matillion
    We were able to control on access and built various enviroment for implementation
    Incentivized
    Read full review
    Alternatives Considered
    Amazon AWS
    AWS Glue is a fully managed ETL service that automates many ETL tasks, making it easier to set AWS Glue simplifies ETL through a visual interface and automated code generation.
    Read full review
    Matillion
    Fivetran offers a managed service and pre-configured schemas/models for data loading, which means much less administrative work for initial setup and ongoing maintenance. But it comes at a much higher price tag. So, knowing where your sweet spot is in the build vs. buy spectrum is essential to deciding which tool fits better. For the transformation part, dbt is purely (SQL-) code-based. So, it is mainly whether your developers prefer a GUI or code-based approach.
    Incentivized
    Read full review
    Scalability
    Amazon AWS
    No answers on this topic
    Matillion
    We're using Matillion on EC2 instances, and we have about 20 projects for our clients in the same instance. Sometimes, we're struggling to manage schedules for all projects because thread management is not visible, and we can't see the process at the instance level.
    Incentivized
    Read full review
    Return on Investment
    Amazon AWS
    • We are using GLUE for our ETL purpose. it’s ease with other our AWS services makes our ROI, 100% ROI.
    • One missing piece was compatibility with other data source for which we found a work around and made our data source as S3 only, so our dependencies on other data source is also reducing
    Incentivized
    Read full review
    Matillion
    • Matillion has been the backbone of my company's analytical functionalities for 10+ years, so it has a good ROI.
    • The price is ok for what our company built with it, but it starts to be less competitive if the tool is not used at its fullest.
    Incentivized
    Read full review
    ScreenShots

    Matillion Screenshots

    Screenshot of Matillion's GUI, used to orchestrate jobs with control data flow functionality, automating the ETL process.Screenshot of where structured and semi-structured data can be prepared to create clean data sets that can be used with any BI/reporting/visualization tool of choice. Matillion reads and combines data across a target warehouse external storage, such as S3 or Blob.Screenshot of Matillion's self-validating components, sample and row counts. If a job does fail, the warehouse queue services available with Matillion can be used get an alert to a connected email or Slack account.Screenshot of the SQL component used to run custom scripts from within Matillion. With hundreds of pre-built connectors out of the box, Matillion can handle complex transformation needs.