Magento BI (formerly RJMetrics) is an ecommerce analytics solution that provides data pipeline, warehouse and visualization capabilities. It was acquired by Magento, and is now owned and supported by Adobe.
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Matillion
Score 6.8 out of 10
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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,
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Pricing
Magento BI
Matillion
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Magento BI
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.
A company or organization that is in contact with the customer and wants to examine customer behavior in the purchase and selection of products and services should use this platform. It does not matter how many advertising tools and referral links or social media campaigns you use to attract customers. In any case, Magento BI integrates all the information and DB as a single platform and provides you with the best reports. Potential customers can be positioned according to location, city, country. Now we know exactly which product is most popular and where to put our advertising costs on which site or social network has the most audience.
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.
It is relatively easy to manipulate the time period in which you want to see your report. This is important for our business because we are constantly analyzing sales month over month, quarter over quarter, and year over year. RJ makes it easy to toggle between these time ranges on the same report.
The visualizers available for reports are what you would expect out of a product like this. You have the ability to view your results in tables and a multitude of charts.
The ability to customize dashboards and rearrange reports quickly is great and intuitive!
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.
Educational videos and tutorials must be more simpler and more understandable language with subtitles
There should be the ability to select graphic diagrams with different shapes and graphs
The basic features of the Essential Paln can be increased with the current price so that startup companies can better use the features of this platform.
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.
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.
In addition to its features, it has made the Magento Commerce platform much better, more functional, and smarter, and through Magento BI dashboard they know very well what reports have been sent and all our business tools are summarized in one business platform. The ability to share report results is very popular and useful, and you can share content with anyone anywhere in the world.
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.
The very strong and knowledgeable support team and great help forums and documents, any questions and cases will be answered immediately or checked through tickets and resolved quickly. It is also possible to send comments and changes. Or our team , fast response and after-sales cooperation of the service company is always more than the product itself and its quality, and we want the service and support to support our interests.
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.
The advantage of Magento BI is easier compatibility and adaptation with Adobe platforms and easier installation, configuration and customization with Mojto Store Builder and its various caskets, and I am very satisfied with it now and in every way I think it is a very good platform for integration in reporting.
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.
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.
