Matillion vs. Red Hat JBoss Data Virtualization

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Matillion
Score 7.5 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 including Cisco,N/A
JBoss Data Virtualization
Score 6.0 out of 10
N/A
JBoss Data Virtualization is a data integration solution that sits in front of multiple data sources and allows them to be treated as a single source, to deliver the right data, in the required form, at the right time to any application and/or user. Also presented as a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. Red Hat JBoss Data Virtualization makes data spread across physically diverse…N/A
Pricing
MatillionRed Hat JBoss Data Virtualization
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
MatillionJBoss Data Virtualization
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
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
MatillionRed Hat JBoss Data Virtualization
Top Pros
Top Cons
Features
MatillionRed Hat JBoss Data Virtualization
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Matillion
8.6
122 Ratings
4% above category average
Red Hat JBoss Data Virtualization
-
Ratings
Connect to traditional data sources8.7121 Ratings00 Ratings
Connecto to Big Data and NoSQL8.581 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Matillion
8.4
123 Ratings
0% above category average
Red Hat JBoss Data Virtualization
-
Ratings
Simple transformations9.3123 Ratings00 Ratings
Complex transformations7.4122 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Matillion
8.2
115 Ratings
0% above category average
Red Hat JBoss Data Virtualization
-
Ratings
Data model creation9.133 Ratings00 Ratings
Metadata management9.140 Ratings00 Ratings
Business rules and workflow7.9107 Ratings00 Ratings
Collaboration7.3107 Ratings00 Ratings
Testing and debugging7.3108 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Matillion
8.2
23 Ratings
0% below category average
Red Hat JBoss Data Virtualization
-
Ratings
Integration with data quality tools8.222 Ratings00 Ratings
Integration with MDM tools8.220 Ratings00 Ratings
Best Alternatives
MatillionRed Hat JBoss Data Virtualization
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
SAP HANA Cloud
SAP HANA Cloud
Score 8.6 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Delphix
Delphix
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MatillionRed Hat JBoss Data Virtualization
Likelihood to Recommend
8.9
(124 ratings)
6.0
(2 ratings)
Likelihood to Renew
8.1
(6 ratings)
-
(0 ratings)
Usability
8.6
(123 ratings)
-
(0 ratings)
Support Rating
7.4
(7 ratings)
8.0
(1 ratings)
Implementation Rating
8.2
(1 ratings)
-
(0 ratings)
Product Scalability
8.7
(116 ratings)
-
(0 ratings)
Vendor post-sale
9.1
(1 ratings)
-
(0 ratings)
Vendor pre-sale
9.1
(1 ratings)
-
(0 ratings)
User Testimonials
MatillionRed Hat JBoss Data Virtualization
Likelihood to Recommend
Matillion
It is very well suited for ETL on the cloud. Whenever there is something that can be accomplished with no code or little code, Matillion is a good tool. However, if your pipeline requires a lot of customizations, Matillion should be avoided.
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Red Hat
Red Hat JBoss Enterprise Data Services is a top choice for JEE applications. Even though lots of documentation is available, it's difficult in terms of usability. If the development is more based on Java applications it is a good choice. It provides better installation and integrations.
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Pros
Matillion
  • We leveraged Matillion’s no-code principals to make data manipulation easy for our internal customers. People who don't know how to use SQL no longer need to. Everything in Matillion is self-explained with no or little coding.
  • We connected Matillion to our data warehouse to allow people to read raw data, transform it, then write results back to their sandbox databases. The drag and drop component design allowed customers to create complex data models at the speed of thought without any risk to production data.
  • With sharing capabilities between projects enabled, everyone was able to help each other when questions arose which instilled a strong sense of collaboration and community.
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Red Hat
  • Data source compatibility: since it is Java, it can connect to anything with a JDBC driver.
  • Flexibility: you can configure it however you want, we have it configured to use LDAPS for authentication and have all interfaces encrypted, and setting that up was pretty straight forward.
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Cons
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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Red Hat
  • Pricing
  • User Interface
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Likelihood to Renew
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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Red Hat
No answers on this topic
Usability
Matillion
It has been easy to train new employees who don't have previous experience with Matillion. It is quite self-explanatory. There are quite a few things that can be done with Python, however, we have not really looked into this feature much but likely will do in the future. Mostly, it is drag and drop of components and environments can be set up so easy to set up connections as well.
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Red Hat
No answers on this topic
Support Rating
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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Red Hat
Support availability and resolution response time make it a better choice.
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Implementation Rating
Matillion
We were able to control on access and built various enviroment for implementation
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Red Hat
No answers on this topic
Alternatives Considered
Matillion
Matillion ran circles around Stitch and Striim both in functionality, setup, and performance. There was no real comparison. Fivetran massively outperforms Matillion in pretty much every facet of the production from setup, maintenance, visibility, and usability. It already has the ability to connect any data source to a destination regardless of database type. Why we chose Matillion over Fivetran is that, for our current needs, Matillion provides us with the functionality that we need and a much more competitive price for a smaller company.
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Red Hat
Market value and support extended by Redhat is the winner against Veritas. It has cool features and functionality but still, if your organization is Redhat shop it's better to go for the Jboss option.
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Scalability
Matillion
I have been able to connect Matillion to AWS Aurora Databases, MySQL databases, Rest APIs, Files in AWS S3, etc. Being able to load all of that disparate data into one datalake has made data mining and reporting a lot simpler. I wish everything could be implemented as easily as Matillion.
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Red Hat
No answers on this topic
Return on Investment
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.
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Red Hat
  • It has allowed us to start moving applications independent from their underlying data sources, savings us time and limiting cutover effort.
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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.