Amazon Forecast vs. Azure Databricks

I personally get the feeling that Amazon Forecast must have been a direct product released on the models Amazon themselves must have used at some port. Amazon Forecast definitely shines when using it for product demand, inventory, and pricing throughout store locations, etc. Everything, including data-set importing, works best in this context. When applying it to more edge cases like resource planning around events, it can be a bit more tricky to apply effectively.

Incentivized

Having access to all databases and tables in one place is what has helped me and my team to function better. The in built functionality/access to SQL and Python is definitely an added bonus! The icing on the cake is the ability to export your data into an Excel spreadsheet for additional analysis. If you have less to no working knowledge of SQL or Python, its better to look at alternatives.

Incentivized

• Develop benchmarks for use in future forecast.
• Performs contingency planning during challenging financial times.
• Anticipate the impact of new expanse.

Incentivized

• Consistently great performance when dealing with huge scale data with the help of spark architecture
• Magic commands such as spark sql, pyspark, scala . This comes really handy in day to day work
• Integration with other Azure services is super smooth and robust

Incentivized

• Potential very high costs
• Predicting ongoing running costs
• Very product focused

Incentivized

• Intuitive interface
• Ease of use
• Providing FAQ or QRGs

Incentivized

Based on my extensive use of Azure Databricks for the past 3.5 years, it has evolved into a beautiful amalgamation of all the data domains and needs. From a data analyst, to a data engineer, to a data scientist, it jas got them all! Being language agnostic and focused on easy to use UI based control, it is a dream to use for every Data related personnel across all experience levels!

Incentivized

There was no other product or service that was considered before making the choice to go with Amazon Forecast as the forecasting that the company was looking for had everything running in the AWS environment, the choice had to be obvious. Integrating with Amazon Forecast also ensured that everything is under a single roof and we didn't have to go multiple places looking for data when needed.

Incentivized

Against all the tools I have used, Azure Databricks is by far the most superior of them all! Why, you ask? The UI is modern, the features are never ending and they keep adding new features. And to quote Apple, "It just works!" Far ahead of the competition, the delta lakehouse platform also fares better than it counterparts of Iceberg implementation or a loosely bound Delta Lake implementation of Synapse

Incentivized

• Insights have been available much more quickly and well designed manner
• Integration with other tools has been flawless

Incentivized

• The support team is amazing, they help you at every stage of the projects, from sales to delivery.
• On a framework level, it has had an amazing impact and has reduced the clients overall data platform costs by a staggering 65%
• There has been a 40% Manual work requirement on average for the clients when they move to Azure Databricks Data Platform

Incentivized