What do you like most about Databricks?
Thanks for sharing your thoughts with the community!
The initial setup is pretty easy.
The solution is very easy to use.
It can send out large data amounts.
Databricks gives you the flexibility of using several programming languages independently or in combination to build models.
Databricks helps crunch petabytes of data in a very short period of time.
The integration with Python and the notebooks really helps.
One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often.
It's great technology.
The fast data loading process and data storage capabilities are great.
Ability to work collaboratively without having to worry about the infrastructure.
It's easy to increase performance as required.
The most valuable feature is the ability to use SQL directly with Databricks.
Imageflow is a visual tool that helps make it easier for business people to understand complex workflows.
I haven't heard about any major stability issues. At this time I feel like it's stable.
The time travel feature is the solution's most valuable aspect.
I work in the data science field and I found Databricks to be very useful.
The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient.
Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.
Automation with Databricks is very easy when using the API.
We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search
The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly.
Let the community know what you think. Share your opinions now!