Databricks Data Intelligence Platform

What differentiates Databricks Data Intelligence Platform from other similar products?

Great expertise that mixes ml-Runtimes – MLFlow and Spark. The flexibility to use Python, and SQL seamlessly in one platform. Since databricks notebooks are saved as python scripts in the background it’s superb to have both notebook and script experience and synchronize to git. Regular jobs, pre-installed ML environments, an abundance of documentation, and example use cases. There are tons of best practices obtainable through the Spark AI conference also.

What is your favorite aspect of this product?

I actually like that we can have queries. We’ve solely began to review them properly for each account, however there are limitless opportunities once we begin digging. It provides multi-cloud support across AWS etc. New options are sharply released every quarter. The UI is comparatively easy compared to AWS EMR or different similar products. The approach that works with the delta format. Providing tons of potentialities without the requirement to own a dedicated database administrator. It’ conjointly nice to talk concerning their flexibility.

What do you dislike most about this product?

Debugging code and using interactive applications outside databricks approved features is tough. It’s difficult to get a grasp of the documentation for beginners to the platform. Their Spark install is not forever compatible with third party tools (ex: geospatial) causing a delay in some package availability till an extra release. Some gotachs with distributed model coaching (Horovod). I’d prefer to access additional access to making queries and investigating many things. Generally, I get glitches with the account, it freezes and I can’t see the data.

What recommendations would you give to someone considering this product?

It’s highly efficient in executing queries, analyzing data, and performing complicated table joins if workloads are properly set up across high-performing clusters. The simplest part is looking for information on a couple of customers’ accounts that we cannot see on the other system we use. Therefore I like to recommend this.

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks service has seamless integration with the world's top Data services platforms.

What is your favorite aspect of this product?

Databricks service is easy-to-use, backed by a well-established company, and follows development strategies rooted in academic research and open source communities.

What do you dislike most about this product?

I find Databricks service doesn't play well as a stand-alone solution.

What recommendations would you give to someone considering this product?

It would be great to spend some time on the official service learning tutorials, consider the official certifications, and get some hands-on practice before the actual service implementation.

What differentiates Databricks Data Intelligence Platform from other similar products?

Databricks has flexible user dashboard and is more powerful in data preparation as compared to other platforms.

What is your favorite aspect of this product?

My favorite aspect is the capability of this platform to convert data into useful business insights. We have gained a lot when implementing project and received the best analytics. It has secure data fransfer network infrastructure that does not leak data to unauthorized parties.

What do you dislike most about this product?

Everything has been working well. I have not experienced any poor working tool from the model.

What recommendations would you give to someone considering this product?

Any organization with data management challenges can easily benefit a lot from this tool.