Maia by Matillion vs. Mugato SaaS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Maia by Matillion
Score 8.5 out of 10
N/A
Maia by Matillion is an autonomous data engineering platform designed to automate the lifecycle of data pipelines through AI-driven orchestration. The solution functions as an enterprise "digital workforce" that translates natural language requirements into production-ready DataPipelines, leveraging a Pushdown Architecture to execute transformations natively within cloud data warehouses.
$2.50
Pay as you go per user
Mugato SaaS
Score 0.0 out of 10
N/A
As cloud technologies prevail, companies need to decide how to take advantage of cloud potential. There are many factors to consider, and decisions are often made with limited information. For cloud transformation to be successful, it is important to truly understand existing digital estate and the interdependencies within a digital landscape, so transformations can be planned with the right prioritizations. Mugato states they aspire for cloud transformation to…N/A
Pricing
Maia by MatillionMugato SaaS
Editions & Modules
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
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Offerings
Pricing Offerings
Maia by MatillionMugato SaaS
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
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
Maia by MatillionMugato SaaS
Considered Both Products
Maia by Matillion
Chose Maia by Matillion
Dataiku and Azure Databricks
Chose Maia by Matillion
Matillion's price is cheaper than Talend and has similar functionalities Matillion has better functionality than Apache Hop
Chose Maia by Matillion
Matillion has more security and better version control features. The support of amazing with new connectors introduced every day.
Chose Maia by Matillion
I have not used any other products yet
Chose Maia by Matillion
Matillion gives great ability to connect to variety of sources and bring data into cloud data warehouse using connector based approach with which we can build complex transformation jobs which can do automated data fetches from your sources.
Chose Maia by Matillion
I think Matillion is more cost effective and user friendly as compared to the ones mentioned
Chose Maia by Matillion
Matillion has better capabilities and better built-in elements that saves your time and efforts. also the connectivity across multiple data warehousing tool is better in Matillion. even the performance of the pipeline and the time required to create a particular pipeline is …
Chose Maia by Matillion
Matillion is affordable, easy to use with a graphical interface
Chose Maia by Matillion
Cheaper and faster and more innovative
Chose Maia by Matillion
My manager selected Million based on his previous work experience. He believes it is easy to use and maintain, cheaper than competitors, and suitable for our use case.
Chose Maia by Matillion
The only other ETL tool I've used was SSIS. At first I thought Matillion seemed "kiddish" after using the polished Microsoft tool but now I think Matillion is easier and can do much more as it has so many built-in connectors etc. We selected Matillion at our job because of …
Chose Maia by Matillion
In my opinion Matillion provides more flexibility then the other tools I mentioned.
Chose Maia by Matillion
n/a -- joined the team after they already were established in Matillion. Have had brief looks at other ETL products but found nothing compelling enough to suggest a change.
Chose Maia by Matillion
We selected Matillion primarily because of it's ability to connect to numerous data sources and easily create transformation jobs. While FiveTran does a better job managing and examining deltas, it is not easy to use and is very non user friendly. SSIS was not a good fit for …
Chose Maia by 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 …
Chose Maia by Matillion
Cost and ease of use were better for our purposes. Matillion distinguishes itself from Fivetran and Snaplogic through its user-friendly design, no-code interface, in-depth transformation capabilities, allowing for complex data manipulations directly within the platform, …
Chose Maia by Matillion
We decided to move forward with Matillion because it was the best tool among tools that support both ingesting data from a source system to a target database and running transformation workflows on it afterwards. Fivetran and Airbyte only support data ingestion and we had our …
Chose Maia by 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.
Chose Maia by Matillion
Both the Databricks platform and Dbt Cloud are more powerful from the point of view of the development lifecycle and data use cases covered. They are also more complex and require specialized data engineering skills to be used. Matillion has a lower barrier of entry for small …
Chose Maia by 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 …
Chose Maia by Matillion
Better UI, logging, minimal configurations, easy previews and faster
Chose Maia by Matillion
Matillion is a good tool for integrating multiple clouds. Informatica has been a market standard for many years, it provides multiple capabilities for data governance, data quality, etc. However, Informatica is pretty expensive compared to Matillion. Also, Matillion is more …
Chose Maia by Matillion
This is my first time using an ETL tool
Mugato SaaS

No answer on this topic

Features
Maia by MatillionMugato SaaS
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Maia by Matillion
8.7
Ratings
5% above category average
Mugato SaaS
-
Ratings
Connect to traditional data sources9.00 Ratings00 Ratings
Connecto to Big Data and NoSQL8.30 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Maia by Matillion
8.8
Ratings
8% above category average
Mugato SaaS
-
Ratings
Simple transformations9.40 Ratings00 Ratings
Complex transformations8.20 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Maia by Matillion
8.4
Ratings
7% above category average
Mugato SaaS
-
Ratings
Data model creation9.10 Ratings00 Ratings
Metadata management9.10 Ratings00 Ratings
Business rules and workflow8.40 Ratings00 Ratings
Collaboration7.70 Ratings00 Ratings
Testing and debugging7.80 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Maia by Matillion
8.2
Ratings
2% above category average
Mugato SaaS
-
Ratings
Integration with data quality tools8.20 Ratings00 Ratings
Integration with MDM tools8.20 Ratings00 Ratings
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Maia by MatillionMugato SaaS
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User Ratings
Maia by MatillionMugato SaaS
Likelihood to Recommend
8.7
(0 ratings)
-
(0 ratings)
Likelihood to Renew
8.6
(0 ratings)
-
(0 ratings)
Usability
8.4
(0 ratings)
-
(0 ratings)
Support Rating
7.4
(0 ratings)
-
(0 ratings)
Implementation Rating
8.2
(0 ratings)
-
(0 ratings)
Product Scalability
8.2
(0 ratings)
-
(0 ratings)
Vendor post-sale
9.1
(0 ratings)
-
(0 ratings)
Vendor pre-sale
9.1
(0 ratings)
-
(0 ratings)
User Testimonials
Maia by MatillionMugato SaaS
Likelihood to Recommend
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.
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Pros
  • 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.
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Cons
  • Static and monolithic, it will show its limits when running multiple concurrent jobs.
  • Github and versioning implementation is messy and broken. Don't use it.
  • There's not way to see/query the system resources, just wait for a server to crash due to out of memory. An admin panel would be appreciated + some env variables with updated info.
  • API implementation is cumbersome and limited.
  • There's no concept of hub and worker engine, everything happens of the same server (designing workflows and executing them). Having separate light ETL engines to run job could be better. (sort of docker/kubernetes/lambda functions).
  • Handling of variables is limited especially for returned values from sub components.
  • Some components could return more metadata at the end of their execution instead of the standard one.
  • Billing is badly designed not taking into account that the server is hosted by the client. Expensive.
  • We had several issue with migration where starting a new instance was required and then migrating the content. It was painful and time consuming also have to deal with support and engineering team on Matillion side.
  • CDC doesn't work as expected or it is not a mature product yet.
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Likelihood to Renew
Matillion is easy to use and flexible to debug. Performance are good and support is giving us a good service level. There are still some technical points to be developed more (such as SAP extraction). but easy flows are really fast to be developed. We are also using a tool for migration from other tools, and it is useful as Matillion is producing XML code.
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Usability
Easy tasks are really easy, and complex tasks are still possible. With prior knowledge of general data warehousing principles and experience with other data transformation tools, it's straightforward to get familiar with and use Matillion. I initially used minimal external support from a partner for some more complex tasks but very soon could work entirely independently with Matillion.
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Support Rating
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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No answers on this topic
Implementation Rating
We were able to control on access and built various enviroment for implementation
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Alternatives Considered
We selected Matillion primarily because of it's ability to connect to numerous data sources and easily create transformation jobs. While Fivetran does a better job managing and examining deltas, it is not easy to use and is very non user friendly. SSIS was not a good fit for our team and required a significant amount of attention and server management that we did not want to invest in.
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No answers on this topic
Scalability
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.
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Return on Investment
  • Time savings -- we could custom code nearly everything Matillion does, but it would take days/weeks instead of minutes/hours.
  • There's a bit of a learning curve to truly unlock Matillion's potential, and that can be frustrating for some new users, but once you get over that curve, the possibilities are endless.
  • It allows us to centralize the hundreds of way to bring data in, so that even if you have to troubleshoot what someone else wrote, it's easy to jump in and understand what is happening.
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ScreenShots

Maia by 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.

Mugato SaaS Screenshots

Screenshot of Automatic application mapping and dependency overviewScreenshot of Automatic cloud pricing based on actual server specifications and utilizationScreenshot of Understand your resource utilization and potential for consolidating and right-sizingScreenshot of Understand your patch status across applications and operating systems