My main use case for Acryl Data is analytics.
DataHub
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Analytics work has become more efficient and now processes large datasets with flexibility
What is our primary use case?
What is most valuable?
Acryl Data helps with processing large amounts of data as it is a very good tool that gives good flexibility to store a huge amount of data and is easier to use. The UI is good.
The best features Acryl Data offers include storage. When I mention storage, I refer to its scalability.
The positive impact of Acryl Data is that it has increased efficiency.
What needs improvement?
I do not have comments on how Acryl Data can be improved.
For how long have I used the solution?
I have been using Acryl Data for two years.
What do I think about the stability of the solution?
Acryl Data is stable.
What do I think about the scalability of the solution?
Acryl Data's scalability is good.
How are customer service and support?
The customer support is good.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I did not previously use a different solution.
How was the initial setup?
My experience with pricing and setup was good.
What was our ROI?
I have seen a return on investment as it has saved time.
Which other solutions did I evaluate?
Before choosing Acryl Data, I did not evaluate other options.
What other advice do I have?
My advice to others looking into using Acryl Data is that they can use it. I gave this product a rating of 9.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Simple data insights platform has boosted development speed and revealed top purchasing customers
What is our primary use case?
My main use case for Acryl Data is to extract insights from customer data. I use Acryl Data for a project in order to identify all the customers and find out which customer buys a lot of items.
What is most valuable?
The best feature Acryl Data offers is the simplicity of the UI. The UI is simple for me because it is easy to navigate. Acryl Data has positively impacted my organization by speeding up all the development. It sped up development because the team can access data faster, improving speed by approximately 50%.
What needs improvement?
The product cannot be improved in just one area. There are no points in support or documentation that require improvement. There are no improvements needed for Acryl Data that I have not mentioned yet.
For how long have I used the solution?
I have been using Acryl Data for five months.
What do I think about the stability of the solution?
Acryl Data is stable.
What do I think about the scalability of the solution?
I think the scalability of Acryl Data is a good point.
How are customer service and support?
The customer support is fine; we do not need any customer support, but I think it was fine.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I did not previously use a different solution; I have no experience with any other solutions.
What was our ROI?
I have seen a return on investment through time saved and also money saved. I do not have specific numbers or examples about the time or money saved.
Which other solutions did I evaluate?
I did not evaluate other options before choosing Acryl Data; I evaluated only this option.
What other advice do I have?
My advice to others looking into using Acryl Data is to start faster with the analytic insights. I would rate this product a 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
The beginning of deploying Datahub(especially metadata and docs) in our organization
What do you like best about the product?
I think the UI is making total sense. Almost every dataset from any platform we have looks the same on the UI, which is helping a lot with the adoption of this product.
I think that the ability to map every data source and their lineage is extremely important for big organizations and can save lots of time for our employees.
I think that the ability to map every data source and their lineage is extremely important for big organizations and can save lots of time for our employees.
What do you dislike about the product?
The thing with Datahub is that you have to put in some amount of time just to see if it can give your users value.
and sometimes the work must come from the owners of the data(and not the Datahub owners) who don't necessarily have a clear interest in that work.
and sometimes the work must come from the owners of the data(and not the Datahub owners) who don't necessarily have a clear interest in that work.
What problems is the product solving and how is that benefiting you?
Creating one place for our data guidelines/explanations/confluence pages.
it saves time for our employees, reduces friction for the owners who created the data and it enables the possibility to enforce future documentations into this 'one place'
it saves time for our employees, reduces friction for the owners who created the data and it enables the possibility to enforce future documentations into this 'one place'
Sweet spot between features and pricing
What do you like best about the product?
When we were tasked with choosing a data cataloging solution, we compared several different companies, and no competitor came close to Acryl. Other solutions had slightly more features but came with a significantly higher cost and weren't open-source.
What do you dislike about the product?
The UI can feel clunky sometimes, but I appreciate how difficult it is to build a general-purpose UI to display datasets from so many different possible sources.
What problems is the product solving and how is that benefiting you?
Acryl hosts our DataHub instance that we use for all of our data cataloging and data governance needs. We've gone from a hodgepodge of tracking and documentation stores to a one-stop shop containing everything.
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