Modern businesses are relying on data analytics to make better decisions. To achieve this, they need to be able store and query large amounts of semi-structured, structured and unstructured information. Cloud data warehouses are the solution.

There are several aspects to take into consideration when selecting a cloud data warehouse such as scalability and performance, data integration capabilities including security and compliance, and cost efficiency. To help you select a data warehouse that meets your business requirements, you should evaluate these criteria against anticipated usage scenarios and workflows.

The first step is to determine the amount of data you expect your company to incorporate each month and assess if there are any seasonal patterns or spikes in usage. This will help you figure out the expected usage and also determine the amount of computing and storage your business requires. It is also important to consider whether you require real-time analytics to drive up costs.

Consider the amount of engineering resources your team will be able to devote to initial and ongoing maintenance. If you opt for a fully managed DWaaS, the vendor will be responsible for most of these responsibility. However, this may reduce your control and may not be a good choice for teams with a limited budget.

Some companies are turning to an approach to data warehouses that is hybrid that combines the reliability and security of a traditional relational database with the flexibility and machine learning capabilities of a data lake. Databricks is a popular option. The solution is based on open source technologies and also has the added benefit of being more accessible for non-technical users to use.

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