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Not optimized for algorithms but a great warehousing tool
What do you like best about the product?
The ability to automatically load data from aws into databricks for collection, and analysis. It does a great job of customizing the notebooks and nodes that can be created.
What do you dislike about the product?
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the usual theano and keras on python. Its also difficult to run analyses on a large volume of data without sampling which defeats the purpose.
What problems is the product solving and how is that benefiting you?
data warehousing, sampling, simple models
Recommendations to others considering the product:
If you have simple needs and not looking to run unsupervised AI on this then it will work for you. I, however, need to create sophisticated models and cannot do so without constantly running into issues left and right.
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One of the best scalability solutions out there.
What do you like best about the product?
It is no surprise that Spark is one of the fastest growing technologies today and databricks provides a platform that makes transitioning to Spark easier. I like how there are also tutorials for people who are just beginning to learn make the onboarding to Spark easier. Love the connection with Github so there is the ease of sharing the projects with the world. Love the ease of pipeline creation in whatever language that one is comfortable in.
What do you dislike about the product?
Could give a bigger size of the cluster for individuals and students so that they can explore it to a bigger extent. Also, technical support is not good enough. I also do not like there is no way you can collaborate on a project. Visualization could be better.
What problems is the product solving and how is that benefiting you?
We are scaling our marketing solutions using this platform. Would love even more tutorials. Should have video tutorials as well.
Great Product for Analytics Teams
What do you like best about the product?
Databricks is my company's one stop shop for interacting with our expansive datasets. Databricks has been great so far for navigating our complex storage systems, accessing data, and being able to analyze it without having to switch programs. One of the best features of Databricks is that you can use a variety of languages within the program to complete all steps needed to fully use the data. I like being able to switch seamlessly between python, spark, and sql to work on big data sets.
Additionally, the formatting of the workbook is awesome. You can create new spaces below your original data view in order to perform the analysis.
Additionally, the formatting of the workbook is awesome. You can create new spaces below your original data view in order to perform the analysis.
What do you dislike about the product?
When using Databricks on a cloud-based server it is sometimes difficult to search through the folders and tables to find exactly what you need. I think it would be beneficial if they created an S3 browser to speed up this process.
What problems is the product solving and how is that benefiting you?
Databricks is helping our analytics group to sift through our mountains of data in order to create new and innovative products that paint a picture of client's customers (and beyond). Personally, I think this program saves a lot of time than having to work on data in silos based on the language you are working with.
Recommendations to others considering the product:
When looking for a new program to access and query your data, look no further. Databricks is better than any SQL server I've used and allows you to utilize python, scala, and spark without having to waste any time changing workbooks.
Hassle free Spark
What do you like best about the product?
One of the best features on the platform is the ability to use a notebook environment and attach them to different Spark interpreters. I do like the user interface and the easy access to browsing files stored on the cluster.
What do you dislike about the product?
Controls are not really developed, it is hard to optimize runtimes. Databricks is expensive and we can not say it is the best for price/value.
What problems is the product solving and how is that benefiting you?
Tracking performance of millions of loans. We get responses much faster than without using big data tools. Some of the queries we run took days previously while now they take only minutes.
Recommendations to others considering the product:
Try to avoid Databricks proprietary special operators as they will not work outside of this environment.
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