A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Data can be hard to pull (weite code in SQL) versus other platforms
- Cloud software requires no internal footprint. - Scales automatically - Extremely fast development time lines, (Fail Fast) - Strong customer support when needed - Engineers to help co-develop (for a fee) when needed
Lots of bugs, they are trying too push too much out with a huge gap in quality control. Customer service is good but they are still trying to get a footing in the data integration world. My number one caution.. Don't fall for the marketing and or false...
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
- Cloud software requires no internal footprint. - Scales automatically - Extremely fast development time lines, (Fail Fast) - Strong customer support when needed - Engineers to help co-develop (for a fee) when needed
Data can be hard to pull (weite code in SQL) versus other platforms
Lots of bugs, they are trying too push too much out with a huge gap in quality control. Customer service is good but they are still trying to get a footing in the data integration world. My number one caution.. Don't fall for the marketing and or false...