Azure Logic Apps vs. Matillion

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Logic Apps
Score 8.6 out of 10
N/A
Microsoft offers the Azure Logic Apps as a cloud-based integration service, supporting data and application integration.
$0
per execution
Matillion
Score 7.9 out of 10
N/A
Matillion 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
Azure Logic AppsMatillion
Editions & Modules
Actions
$0.000025
per execution
Standard Connector
$0.000025
per execution
Enterprise Connector
$0.001
per execution
Integration Account - Basic
$0.42
per hour
Integration Account - Standard
$1.37
per hour
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
Azure Logic AppsMatillion
Free Trial
YesYes
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
Azure Logic AppsMatillion
Considered Both Products
Azure Logic Apps
Chose Azure Logic Apps
The other tools which we have been using do not suite well to integrate other systems (online and onprem) and also other azure services. This tool provide lot of prebuilt connectors that helps us to use the functions within the workflows. This tool is well suited for technical …
Chose Azure Logic Apps
Azure Logic Apps that's just easier than any other service and integrates great with Azure.
Chose Azure Logic Apps
AWS Step Functions and AWS Lambda
Chose Azure Logic Apps
Other services can, on some level, offer some type of subscriber/publisher pattern. For example, you could have an Azure Function watch for changes to a database and then sync the data to Cosmos DB. However, with a few clicks, Logic Apps can easily handle the task without …
Chose Azure Logic Apps
The plug-and-play style of design is ideal for removing the increasing costs of custom development.
Chose Azure Logic Apps
This is very dependent on the line of work you are in and the unique company requirements, as is the case with everything. We utilize Azure Logic Apps for all of our computing solutions within our domain, and it has always worked flawlessly. One of the simplest clouds to set up …
Chose Azure Logic Apps
Honestly, both are robust applications that have helped our business. Amazon had more help training and help resources and allowed us to hit the ground running a little easier. However, it seems like Azure is a more complete option that has more overall resources that our …
Chose Azure Logic Apps
When we proposed products for central integration, we were also introduced to software like Pabbly - which was in its early stages of company growth. The main reason why we picked Azure Logic apps over the other software is that it is manufactured by the renowned company …
Chose Azure Logic Apps
They are both good, but for our current moment, having Azure was a better decision. Hubspot has prices in dollar and Brazilian currency is not well at the moment, so we needed to make a decision.
Chose Azure Logic Apps
Azure Logic Apps is being used at the enterprise level. Usage of Azure Logic Apps gels up with an existing ecosystem.
Chose Azure Logic Apps
Like all things, this is very much based on the line of work you are in and the specific business needs. We use Azure for our computing solutions under our domain, and it works great every time! By far one of the easiest clouds to get up and running.
Chose Azure Logic Apps
There are some logic that are too complex to be executed in Azure Logic Apps. It's a smart choice to execute them in Azure Functions. Azure Logic Apps has an OOB connector to connect to Azure functions. The authentication part is taken care of by MSI (so nothing needs to be …
Chose Azure Logic Apps
Microsoft Logic Apps is much more enterprise-ready. With our company being more invested in Microsoft, this was a no brainer for us to leverage the tool. Its ease of use and scalability makes it a good choice for an enterprise workload.
Chose Azure Logic Apps
Azure Logic Apps has its positives and negatives. We have found that solely relying on it it not a best practice. But that Azure Logic Apps shine when used in concert of the other offerings out there as a part of the whole solution. There are tasks that Azure Logic Apps …
Matillion
Chose Matillion
Matillion's price is cheaper than Talend and has similar functionalities Matillion has better functionality than Apache Hop
Chose Matillion
Matillion has more security and better version control features. The support of amazing with new connectors introduced every day.
Chose Matillion
Matillion is cheaper and we really like the customer support of Matillion as well as lerning materials provided by Matillion were far better. They also made connectors for us for free while others were charging us for it.
Chose Matillion
I have not used any other products yet
Chose 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 Matillion
Matillion is affordable, easy to use with a graphical interface
Chose Matillion
I think Matillion is more cost effective and user friendly as compared to the ones mentioned
Chose 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 Matillion
Cheaper and faster and more innovative
Chose 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 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 Matillion
In my opinion Matillion provides more flexibility then the other tools I mentioned.
Chose 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 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 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 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 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 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 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 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 Matillion
Better UI, logging, minimal configurations, easy previews and faster
Chose 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 Matillion
This is my first time using an ETL tool
Features
Azure Logic AppsMatillion
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
Azure Logic Apps
8.5
Ratings
6% above category average
Matillion
-
Ratings
Pre-built connectors9.40 Ratings00 Ratings
Connector modification9.00 Ratings00 Ratings
Support for real-time and batch integration8.10 Ratings00 Ratings
Data quality services8.30 Ratings00 Ratings
Data security features7.70 Ratings00 Ratings
Monitoring console8.30 Ratings00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Logic Apps
-
Ratings
Matillion
8.3
Ratings
1% below category average
Connect to traditional data sources00 Ratings8.70 Ratings
Connecto to Big Data and NoSQL00 Ratings7.90 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Logic Apps
-
Ratings
Matillion
6.9
Ratings
17% below category average
Simple transformations00 Ratings7.50 Ratings
Complex transformations00 Ratings6.40 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Logic Apps
-
Ratings
Matillion
8.2
Ratings
3% above category average
Data model creation00 Ratings9.10 Ratings
Metadata management00 Ratings9.10 Ratings
Business rules and workflow00 Ratings8.30 Ratings
Collaboration00 Ratings7.20 Ratings
Testing and debugging00 Ratings7.50 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Logic Apps
-
Ratings
Matillion
8.2
Ratings
1% above category average
Integration with data quality tools00 Ratings8.20 Ratings
Integration with MDM tools00 Ratings8.20 Ratings
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Azure Logic AppsMatillion
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User Ratings
Azure Logic AppsMatillion
Likelihood to Recommend
8.7
(0 ratings)
7.8
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.6
(0 ratings)
Usability
9.0
(0 ratings)
7.0
(0 ratings)
Support Rating
7.5
(0 ratings)
7.4
(0 ratings)
Implementation Rating
-
(0 ratings)
8.2
(0 ratings)
Product Scalability
-
(0 ratings)
7.2
(0 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(0 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(0 ratings)
User Testimonials
Azure Logic AppsMatillion
Likelihood to Recommend
1. For simple tasks / moderately difficult tasks (where there are not too many condition checks) 2. We have less time for development, and the Agenda is simple. 3. Avoid Azure Logic Apps when you are unsure about hitting the limits (check latest limitations of Azure Logic Apps in MS docs)
Read full review
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
  • We use it for an email connector to a function app and as a way to move items into a storage account.
  • We use it as a way to preprocess information before it goes into function app or a SharePoint site.
Read full review
  • 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.
Read full review
Cons
  • It falls short of alerting capabilities.
  • Microsoft Azure should be unclouded with its pricing. We don't always know how much an inclusion will affect the monthly price. So we have to speculate where we are with the price and if we can afford to include another asset.
Read full review
  • 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
No answers on this topic
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.
Read full review
Usability
I found them easy to use and adapt to different scenarios, from Azure management to link processes between REST APIs. Together with Function Apps, they're probably the most useful resource type for Azure. Today, I use them in production, and that's a key component: stable, secure, easy to manage, and maintain.
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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
Azure Logic Apps are backed by Azure and Microsoft. There is a wealth of information on the internet about both of these platforms. In addition to this Microsoft has a huge bush to using this platform and have offered many solutions and support options to the user. The only drawback is that it is a fairly new platform so the 3rd party information tends to be lacking.
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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
No answers on this topic
We were able to control on access and built various enviroment for implementation
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Alternatives Considered
When we proposed products for central integration, we were also introduced to software like Pabbly - which was in its early stages of company growth. The main reason why we picked Azure Logic apps over the other software is that it is manufactured by the renowned company Microsoft and we had nothing to worry about our data security. Also, Logic apps offered a great deal when it came to pricing and it was also so much easier to negotiate the plans and prices with the customer care representatives at Azure Logic Apps!
Read full review
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.
Read full review
Scalability
No answers on this topic
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
  • Moving to Serverless Computing obviously makes the organization get rid of dependent Infra.
  • ROI can be seen immediately as the required infra can be decommissioned after a successful quarter run.
  • Being deployed as a single entity or single app on Azure Logic Apps, Organizations need to be more careful with controls applied to meet compliance and security posture.
Read full review
  • 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

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.