AWS Glue vs. Matillion

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Glue
Score 7.8 out of 10
N/A
AWS 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
Score 8.2 out of 10
N/A
Matillion is a productivity platform for data teams. Matillion's Data Productivity Cloud helps data teams – coders and non-coders alike – to move, transform, and orchestrate data pipelines with the goal of empowering teams to deliver quality data at a speed and scale that matches the business’s data ambitions. The vendor states enterprises includingN/A
Pricing
AWS GlueMatillion
Editions & Modules
per DPU-Hour
$0.44
billed per second, 1 minute minimum
No answers on this topic
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 DetailsBilled 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
AWS Glue

No answer on this topic

Matillion
Chose Matillion
Overall had a better value for money
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 …
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.
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 …
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 …
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.
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.
Top Pros
Top Cons
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 Product A and Product B
AWS Glue
-
Ratings
Matillion
8.6
109 Ratings
3% above category average
Connect to traditional data sources00 Ratings8.8108 Ratings
Connecto to Big Data and NoSQL00 Ratings8.572 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
AWS Glue
-
Ratings
Matillion
8.4
109 Ratings
0% below category average
Simple transformations00 Ratings9.3109 Ratings
Complex transformations00 Ratings7.5108 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
AWS Glue
-
Ratings
Matillion
8.3
104 Ratings
2% above category average
Data model creation00 Ratings9.133 Ratings
Metadata management00 Ratings9.140 Ratings
Business rules and workflow00 Ratings8.196 Ratings
Collaboration00 Ratings7.697 Ratings
Testing and debugging00 Ratings7.797 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
AWS Glue
-
Ratings
Matillion
8.2
23 Ratings
1% below category average
Integration with data quality tools00 Ratings8.222 Ratings
Integration with MDM tools00 Ratings8.220 Ratings
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AWS GlueMatillion
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Score 9.0 out of 10
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Score 9.5 out of 10
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dbt
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Score 9.5 out of 10
InfoSphere
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Score 8.4 out of 10
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Score 9.1 out of 10
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Score 8.4 out of 10
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User Ratings
AWS GlueMatillion
Likelihood to Recommend
8.3
(7 ratings)
9.1
(110 ratings)
Likelihood to Renew
-
(0 ratings)
7.3
(6 ratings)
Usability
-
(0 ratings)
8.7
(109 ratings)
Support Rating
7.0
(1 ratings)
7.4
(7 ratings)
Implementation Rating
-
(0 ratings)
8.2
(1 ratings)
Product Scalability
-
(0 ratings)
8.4
(102 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.
Read full review
Matillion
Matillion is great any time ETL or ELT is needed. I've now used Matillion in 2 different companies and would have no problem recommending others to use it as well. The ease of setting up schedules to just take care of data imports and manipulation is incredible. IT has also been an incredible tool at bringing disparate databases together on a schedule so that I never have to think about it.
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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.
Read full review
Matillion
  • Excellent tool to do ELT data pipeline using Snowflake
  • Easy graphical orchestration to enable complex dependencies
  • Easy manage users and group permissions
  • Easy to schedule jobs using time dependency and job dependency
  • Provides many API's to fetch data from multiple vendors
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.
Read full review
Matillion
  • I think a non-CLI approach to installing and uninstalling python libraries would be nice. I mean, it isn't difficult to install a python library via Linux or CLI, but I imagine most companies don't feel comfortable allowing Matillion users to go on a virtual server and installing it themselves. Requirement.txt file for installing libraries would be simple, and maybe that could also be used to uninstall libraries as well......or maybe the library gets automatically downloaded if it is imported into a python script but the library doesn't exist.
  • Python Component is lacking very much in terms of UI. It would be unrealistic for me to suggest Matillion build its own EDI, but it would be nice if a python component could connect to a local IDE. Right now, if you want to write any decent length python code, you are going to be stuck copying and pasting your code from your local IDE.
  • It is also very difficult to debug in Matillion because you can't set breakpoints. Local IDE integration can resolve that.
  • I would like to have more templates to copy from for certain simplistic scenarios. For instance, a template for a job that fails which sends an AWS SNS with the Job name, component it failed on, and the error message. It wasn't as simple as I thought it would be to figure out and having to use a shared job for such circumstances can be painful because you have to export a bunch of variables.
  • There should be a drop down list for Global Matillion variables as it is difficult to remember at times.
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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.
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Usability
Amazon AWS
No answers on this topic
Matillion
Easy to follow steps in building a data pipeline. We have brought in people with minimal SQL experience and they have been able to quickly and successfully being able to pick up the skill set and contributing in reducing the time to market with various data assets. Matillion does provide a long array of components to select from to perform data transformation. But like any other tool, there are more than one way of doing the same thing. Some are more performant than the others, but easy to follow and easy to tweak to improve.
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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.
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.
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Implementation Rating
Amazon AWS
No answers on this topic
Matillion
We were able to control on access and built various enviroment for implementation
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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
Overall, Matillion is an excellent choice for businesses that need a powerful and easy-to-use data integration and transformation platform that can handle large volumes of data. While it may be a bit pricey for some organizations, the platform's reliability, scalability, and customer support make it a worthwhile investment for many businesses.
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Scalability
Amazon AWS
No answers on this topic
Matillion
Matillion has a nice scalability capacity, and once it has been stored in our AWS cloud it makes it much easier to scale it on demand. The reason I'm not rating it as 10 is that there is no way to migrate or move it to another cloud in an easy way.
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Return on Investment
Amazon AWS
  • It had a positive impact on the way we build our data lake.
  • It is the single source of truth for data structure (schemas/tables/views).
Read full review
Matillion
  • Saving us time reduces our need for headcount
  • Allows us to collaborate on data-eng pipelines in a transparent way with non-technical stakeholders, ensuring accuracy and continuity
  • Allows us a single platform to log and manage all of our pipelines to pin-point where something failed and why
  • Always has a solution to very common data engineering tasks, i.e., real-time data, connectors, pre-built workflows, etc.
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.