Kepion is a cloud planning & analytics software company
that connects all organizations' teams under a single view of their business
performance. We enable more intelligent decisions to be made by companies about
their financial and operational future.
Kepion global offices and partners deliver rapid solutions
for mid-size and enterprise customers. We make it possible for businesses to be
empowered with real-time analytics, what-if scenario modeling, and the ability
to model complex…
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Matillion
Score 6.7 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
Kepion Planning
Matillion
Editions & Modules
On premise Install
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Cloud Planning
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Offerings
Pricing Offerings
Kepion Planning
Matillion
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Required
No setup fee
Additional Details
Please contact us at sales@kepion.com for more details.
Billed directly via cloud marketplace on an hourly basis, with annual subscriptions available depending on the customer's cloud data warehouse provider.
The solution works extremely well for companies in complicated operations or with the ambition to forecast their operations on a driver based way or wanting to have the ability to create different scenarios based on external or internal drivers. It is a perfect piece of an existing analytical infrastructure (DWH/BI) lacking a planning solution on top.
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.
Budgeting and Forecasting: Kepion provides all budgeting, forecasting and actuals information in one, collaborative environment.
Analysis: It is easy to traverse across your entire budgeting and forecasting spectrum in Kepion, unearthing insights that would be hidden from you in other tools.
Workflow: Kepion's workflow management is simple and clear.
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.
Silverlight functionality is outdated which makes the front end solution a little bit old compared to latest UI. They will be tackling it in Q2 2018, but it leaves users wanting for more.
Reporting functionalities: Are not state of the art, we recommend users creating official reports within Kepion, but focusing on Tableau or PowerBI for reporting purposes as this is not and will never be Kepion strengths compared to the likes of Tableau.
Being customizable is great, however, the solution is not an out-of-the-box solution and does require a little integration to work. For smaller companies (under 5M USD) I would still recommend Excel.
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.
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.
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.
Kepion is in a unique position in that it has all of the enterprise-grade functionality and scalability of a tool like Cognos, but it is available at a lower price point, with much more engaged support.
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.
