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.
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Pricing
Fiorano ESB
Maia by Matillion
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Fiorano ESB
Maia by Matillion
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Billed directly via cloud marketplace on an hourly basis, with annual subscriptions available depending on the customer's cloud data warehouse provider.
Fiorano would be a good choice for small-medium businesses that need integration capabilities with clients but don't want to carry the burden of an in-house development team. The software can be used by technical non-developers and the organization offers professional services to get you off the ground. For larger organizations that have an in-house development team and a wealth of internal resources, other "enterprise grade" middleware/ESB solutions may be more applicable.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Fioranio's underlying design is very good. In the event of a sudden shutdown, it would - in theory - be able to recover messages that were in-flight.
The visual design surface is very appealing and provides a very quick and easy way to decipher data flows. It has a definite advantage over traditional develop and document processes where documentation tends to be out of date. With Fiorano, the flow is already visualized in a relatively easy to understand way.
One thing that Fiorano had over some competitors was connections into our AS400 data queues. Not all middleware solutions have that - which is a boon for organizations that still run an iSeries in the back-end.
The support people are generally very well educated and easy to get a hold of if you have a support agreement in place.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Fiorano scalability was a problem for us - specifically we were told about a limit of the number of components that could be run on a single server. This was not explained during the pre-sales and is a serious limitation of the platform.
Some of the components in Fiorano are just poorly implemented. For instance, we used the FTP component to download a large multi-GB file. Apparently, that component requires equal RAM to file size. So, if you download a 10GB file, you'll need at least 10GB of RAM to do so.
Stability was also problematic for us - some of the components or entire data flows would suddenly stop for no reason. At time they coudln't even be restarted and we were forced to restart the Fiorano service. Not an ideal situation to be in for mission critical data flows.
Consistency is a problem for the components in Fiorano. There are wide ranges of design variations in the UI between components. Even in the same component, it could be the case that you'd have to switch back to the "old" component UI to view certain important settings. This made development more difficult.
3rd party support doesn't exist - perhaps it isn't popular enough? There isn't a community supporting Fiorano which means that problems require you to go to a support person.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We are evaluating options such as Apache Nifi as a possible replacement for our Fiorano data flows. We've also used PilotFish technologies that has been able to fit the same use cases as Fiorano (minus the visual component). Generally the products mentioned above excelled in areas of stability and through-put compared to Fiorano, but none have been able to consolidate our ESB components into a single platform.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Fiorano added another piece of complexity to our ESB solution but has not pulled its weight as far as ROI. As we started ramping up on the product, it continued to show it's short-comings and we are working now to ramp it down. Overall, it has not been a positive experience.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
