Likelihood to Recommend
CloverDX designer as a standalone is well suited for fairly straightforward transformations of data. If you want to do large scale data integrations, then their server edition adds an extra level of automation and job control.
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Matillion is great any time ETL or ELT is needed. I've now used Matillion in 2 different companies and would have no problem recommending others to use it as well. The ease of setting up schedules to just take care of data imports and manipulation is incredible. IT has also been an incredible tool at bringing disparate databases together on a schedule so that I never have to think about it.
Read full review Pros Connects with Salesforce very well The graphical view of the transformations allows for easy creations and maintenance Support has always been eager to assist with any graph creation difficulties I run into Read full review Excellent tool to do ELT data pipeline using Snowflake Easy graphical orchestration to enable complex dependencies Easy manage users and group permissions Easy to schedule jobs using time dependency and job dependency Provides many API's to fetch data from multiple vendors Read full review Cons The initial learning curve is a little steep. Not very steep or super steep, just a little steep. Having enough memory for large multi-step problems can be an issue if the graph isn't designed well. Read full review 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. Read full review Likelihood to Renew
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.
Read full review Usability
Easy to follow steps in building a data pipeline. We have brought in people with minimal SQL experience and they have been able to quickly and successfully being able to pick up the skill set and contributing in reducing the time to market with various data assets. Matillion does provide a long array of components to select from to perform data transformation. But like any other tool, there are more than one way of doing the same thing. Some are more performant than the others, but easy to follow and easy to tweak to improve.
Read full review Support Rating
While CloverDX has an active forum for users to submit questions and assist with answers, their in house support team is incredibly responsive when I've contacted them for assistance. This seems almost at odds with most other software companies who try to save money on tech support by promoting a forum or knowledge base.
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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.
Read full review Implementation Rating
We were able to control on access and built various enviroment for implementation
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CloverDX was a less expensive alternative to Talend and had a more intuitive interface from what I could see during the evaluation.
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Overall, Matillion is an excellent choice for businesses that need a powerful and easy-to-use data integration and transformation platform that can handle large volumes of data. While it may be a bit pricey for some organizations, the platform's reliability, scalability, and customer support make it a worthwhile investment for many businesses.
Read full review Scalability
Matillion has a nice scalability capacity, and once it has been stored in our AWS cloud it makes it much easier to scale it on demand. The reason I'm not rating it as 10 is that there is no way to migrate or move it to another cloud in an easy way.
Read full review Return on Investment Work that use to take multiple people 20 to 30 hours a week to complete each has now been fully automated to where only 1 or 2 hours a week for maintenance is required. Read full review 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. Read full review ScreenShots