Databricks - Powerful and scalable for data science and business analytics
What do you like best about the product?
I like it because it stands out for its ability to unify data science, data engineering, and business analytics into a single interface. I also appreciate the seamless integration with collaborative notebooks and the ability to seamlessly with Delta Lake is also a big plus, ensuring reliability and performance when managing large-scale data.
What do you dislike about the product?
Sometimes, the web interface can take a while to load active clusters. Id also like more visual tools to monitor resource usage in real time.
What problems is the product solving and how is that benefiting you?
One of the main challenges we faced was fragmentation between engineering and analytics teams, and Databricks allowed us to centralize all data processing and analysis, reducing development time and improving the quality of our machine learning models. We also eliminated data sites by consolidating multiple sources into a single platform, which reduced the time to insights and the execution time of ETL pipelines, improved collaboration and overall productivity, and improved business decision supported by cleaner data.
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