Astera ReportMiner automates data extraction from unstructured documents with a drag-and-drop UI. It is used to create reusable, pattern-based templates. Combining AI and template-based extraction, ReportMiner allows for auto-generating and fine-tuning templates.
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Matillion
Score 8.4 out of 10
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Matillion is a data pipeline platform used to build and manage pipelines. Matillion empowers data teams with no-code and AI capabilities to be more productive, integrating data wherever it lives and delivering data that’s ready for AI and analytics.
$2.50
Pay as you go per user
Pricing
Astera ReportMiner
Matillion
Editions & Modules
ReportMiner Enterprise
Contact sales
per user
Developer: For Individuals
$2.50/credit
Pay as you go per user
Basic
$1000
per month 500 prepaid credits (additional credits: $2.18/credit)
Advanced
$2000
per month 750 prepaid credits (additional credits: $2.73/credit)
Enterprise
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Offerings
Pricing Offerings
Astera ReportMiner
Matillion
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discounts are provided for 10 pack, 20 pack, 50 pack, and enterprise-wide ReportMiner Professional licenses.
Billed directly via cloud marketplace on an hourly basis, with annual subscriptions available depending on the customer's cloud data warehouse provider.
Astera ReportMiner is well suited for those who work with EMR Data or business operations data where different platforms may report on similar data but not everything is the same between the different systems and how they export their data. It works especially well when systems can't edit their exports so you need to clean up data a lot before they are combined into a single file. It is less appropriate a solution when you are trying to combine large data, let's say thousands of files and need some sort of platform to deduce analytic patterns out of it. This is more used for data preparedness rather than big data analysis. This may have changed with recent updates, however they do not do a good job of updating customers on new releases so keeping track of their developments is something worth doing if data management is an important part of your/your company's role.
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.
ReportMiner's OCR accuracy is flawless to my experience. I use the program to pull values from check details, and have yet to find an error.
ReportMiner's interface is easy to learn. I never even got formal training on the program. I watched some YouTube videos and learned as I went.
ReportMiner training personnel is very knowledgeable and quick to respond. Anytime I ran into a problem I could not figure out on my own, they would get back with me within a half a day.
Could provide some features to help with advanced analytics for big data. (i.e. larger data sets)
Too much clutter on their Youtube page, they should highlight the tutorials so they are easier to find for new users. Get rid of old tutorial video playlists so the organization is clean and up to date.
Have sales rep follow up with customers to offer product updates, new product releases, and do check ins to see if customers have suggestions for feature improvement.
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.
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.
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.
I have never actually used another program like ReportMiner. Before I was just using PDF viewers such as Adobe that had OCR capabilities. I would have to select a range of numbers and copy and paste to Excel. It was tedious, slow, and sometimes error prone. I chose to learn ReportMiner because it saves me at least 4 times the amount of time I would have to use by copy and pasting.
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.
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.
Efficient and automated data extraction. Saves time and resources.
User-friendly interface and good documentation. It is therefore easiest to learn and apply in a short time.
Documents, which have various formats of data tables or arrangement, needed a lot of manual fixing. So it required a lot of time for validation and quality control.
