Amazon Forecast vs. Azure Databricks

Amazon Forecast is well suited when you are a company that's looking for a simple and effective solution in terms of understanding and predicting your resources planning in the AWS. However, it's also good to know that the cost that is incurred is higher and not suited for anything other than the AWS solutions integrations.

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Centralised notebooks are out directly into production. This can lead to poorly engineered code. It is very good for fast queries and our data team are always able to provide what we ask for. It is a big cost to our business so it is important it runs efficiently and returns on our investment.

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• Built-in datasets
• Accuracy
• Machine learning

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• Data Processing and Transformations based on Spark
• Delta Lakehouse when clubbed with an external cloud storage
• Governance using Unity Catalog to unify IAM
• Delta Live Tables is a product, which although relatively newer, has a great potential with the visuals of a pipeline.

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• Not easy for beginners as it requires insights to set the forecast
• Much more expensive if considered for small businesses

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

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The developers are able to switch between Python and SQL in the Notebook which allows the collaboration of SQL analyst and Data scientist. The integration of Mosaic AI allows users to write complex codes in natural languages. Unity catalog has centralized the security and governance features and simplified the process of maintaining it

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Cost-effective and user-friendly.

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I have found Azure Databricks to be much better than Snowflake for handling bigger, diverse data types. Snowflake is much simpler and better for smaller warehousing. The real time processing is much better in Azure Databricks and we have much more language options. Snowflake is more expensive but simpler to use. Both are great for different needs.

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• Helped in planning the resources required.
• ML and AI delivered near perfect forecasts.
• Features and the details available for the cost is not enough.

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• 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

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info