Choosing a Cloud Data Warehouse

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Modern businesses are leveraging data analytics to make better business decisions, they need to be able to store and query vast amounts of structured, semi-structured, and unstructured data. This is where cloud data warehouses come in.

When choosing a cloud-based data warehouse, there are a variety of factors to consider, such as the ability to scale, performance data integration, security, compliance, and cost. These aspects can help you choose the right data warehouse that meets your business needs. Compare them with expected workflows and scenarios.

The first step is to determine the amount of data that your company plans to incorporate each month and assess if there are any seasonal patterns or spikes in usage. This will help you determine the anticipated usage and decide what level of computing and storage your company needs. It is also important to think about whether you need real-time data analytics that will increase the costs of your warehouse.

Also, think about the amount of engineering resources your team will be able to dedicate to the initial phase and ongoing maintenance. If you select a fully managed DWaaS environment, the vendor will take on most of these tasks. However, this may reduce your control and may not be appropriate for teams with limited resources.

Some companies are embracing an approach called a hybrid data warehouse which combines the reliability of a relational database as well as the control of a traditional database with the flexibility of a data lake as well as the machine-learning capabilities. Databricks is a popular option. This solution is built using open source technologies, and it has the added benefit of being more accessible to users who are not tech-savvy.