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Amazing product which answers data people's persona
What do you like best about the product?
How a steep learning curve Databricks is, I'm enjoying learning all the time with such great materials and people.
What do you dislike about the product?
Sometimes I feel documentation is a bit misleading. E.g. Pandas UDF + ML model combined - the functionality of both is amazing, but actually it's not clear how to use it.
What problems is the product solving and how is that benefiting you?
I never understood the motivation of having lakehouse instead of bunch of parquets, plus not sure what happens behind the scenes. Whenever implementing a new product, one must know how and why to do it :)
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Rapidly Improving AI Platform With Flexible Tooling
What do you like best about the product?
Scheduled jobs, pre-installed ML environments, abundance of documentation and example use cases. There are a lot of best practices available through the Spark AI conference also.
What do you dislike about the product?
Their Spark install is not always compatible with 3rd party tools (ex: geospatial) causing a delay in some package availability until an extra release. Some gotachs with distributed model training (Horovod).
What problems is the product solving and how is that benefiting you?
We are training models to forecast weather and have been able to achieve scale without having to do create a custom architecture. We now have experimentation happening 10X faster than before.
One stop place for setting up my entire data analysis pipeline
What do you like best about the product?
It offers multi-cloud support across AWS, GCP, and Azure
New features are aggressively released every quarter.
The UI is relatively user-friendly compared to AWS EMR or other similar products
New features are aggressively released every quarter.
The UI is relatively user-friendly compared to AWS EMR or other similar products
What do you dislike about the product?
Errors are not entirely straightforward sometimes.
Regular Maintenance can sometimes cause downtime or failure, which can be solved with proper scheduling and retry mechanisms.
Regular Maintenance can sometimes cause downtime or failure, which can be solved with proper scheduling and retry mechanisms.
What problems is the product solving and how is that benefiting you?
It is higly efficient in executing queries, analyzing data, performing complex table joins if workloads are properly setup across high-performing clusters.
Databricks
What do you like best about the product?
I really like that we can have queries. We have only started to review them properly for each account, but there are limitless opportunities once we start digging.
What do you dislike about the product?
I would like to access more access to creating queries and investigating several things. Sometimes I get glitches with the account, it freezes and I can't see the information.
What problems is the product solving and how is that benefiting you?
We are finding fraudsters frequently and once we track a trend, we can solve them much easier. The best part is finding out information about a customer's account that we cannot see on the other system we use
Great customization and granularity of data
What do you like best about the product?
I like how granular we can get when running queries and reports for our business purposes
What do you dislike about the product?
The user interface could be a little sleeker and more intuitive
What problems is the product solving and how is that benefiting you?
Monitoring various categories of data input
Lakehouse helps solving Big data , streaming and Analytical problem
What do you like best about the product?
Delta Lake , SQL Analytics , Optimized Photon engine
What do you dislike about the product?
Notebook UI , performance for SQL analytics on huge volume on the fly aggregate calculations
What problems is the product solving and how is that benefiting you?
Big data problem, ML , SQL analytics , Streaming and replacing traditional Oracle Datawarehouse
Recommendations to others considering the product:
Yes highly recommended for setting up Hadoop kind of cluster and dealing with Big data and Analytics and Machine learning ML flow.
Databricks allows us to pull Canadian Credit file information to verify our Customers.
What do you like best about the product?
I like how Data bricks is layed out. At first it can seem difficult to read, but from computer background i find it a great way to layout the information in an organized fashion.
What do you dislike about the product?
Sometimes Credit Files will pull not pull in the Credit Kyc section and will almost always pull in the Customer information Tab.
What problems is the product solving and how is that benefiting you?
We are abel to identify Customers as we onboard them onto our business and ensure they are legitimate individuals and mitigating risk.
Databricks as a market leader
What do you like best about the product?
It is a one-stop shop for all. It is clearly the best data processing solution that I have ever used.
What do you dislike about the product?
There is still room for improvements - for example, when you deploy, it could be nice to set the configuration of DBFS storage (is it LRS or GRS, etc.). When VMs are deployed, there should be more options to configure hard drives. It is a minor issue related to administrative tasks, but anyway, it is the best lakehouse on the market today.
What problems is the product solving and how is that benefiting you?
Data processing, data lake, machine learning, streaming live data...
Amazing Platform for an Enterprise Data Warehouse and Data Science Platform
What do you like best about the product?
Incredible support for Data Science, Machine Learning and SQL use cases all in one platform.
What do you dislike about the product?
Theoretically their SQL Engine may not scale, but I have not seem that at all.
What problems is the product solving and how is that benefiting you?
Predictive outcomes on cases, lead generation, optimization of marketing strategies and support for common tools like PowerBI.
Recommendations to others considering the product:
Why use proprietary APIs when you have such a complete and open solution with DataBricks.
Good but UI is not perfect
What do you like best about the product?
The ability to monitor and relaunch jobs from the phone is amazing. I don't need to be on my computer on the weekend to relaunch a failed job.
What do you dislike about the product?
I don't particularly appreciate how the mlflow menu is hidden from the left bar UI unless I enter a specific link that contains the ID of an experiment.
For instance, I cannot see anything in https://*******.cloud.databricks.com/#mlflow and I cannot see mlflow in the left bar unless I go to :
https://*******.cloud.databricks.com/#mlflow/experiments/3817218/runs/172f6fcb9f144bbc93cc5b3b857c50f1
For instance, I cannot see anything in https://*******.cloud.databricks.com/#mlflow and I cannot see mlflow in the left bar unless I go to :
https://*******.cloud.databricks.com/#mlflow/experiments/3817218/runs/172f6fcb9f144bbc93cc5b3b857c50f1
What problems is the product solving and how is that benefiting you?
We are using databricks for weekly ETL and neural network model training and tracking of results. We like the fact that we can use different cloud providers based on our needs.
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