When buying a data warehouse solution, there are several key considerations to take into account, including:

1. Scalability: The data warehouse solution should be able to scale to handle large amounts of data and handle increasing data volume over time.
2. Performance: The solution should be able to deliver fast query response times and handle concurrent users and queries.
3. Data integration: The solution should be able to easily integrate with a variety of data sources, such as transactional systems, log files, and external data sources.
4. Security: The solution should provide robust security features, such as encryption, access controls, and compliance with industry regulations.
5. Flexibility: The solution should be flexible enough to handle different types of data, such as structured and unstructured data, and support different types of analytics, such as real-time and batch processing.
6. Data Governance: The solution should provide data governance, data quality, data integration, and data security features.
7. Cost: The cost of the solution, including hardware, software, and maintenance costs, should be taken into account and compared against the benefits it will provide.
8. Support: The solution should be supported by a vendor that offers adequate technical support and training.
9. Ease of Use: The solution should be easy to use and understand by the end-users, and it should come with a comprehensive documentation and user-friendly interface.
10. Technology: The solution should be based on a technology that is widely adopted and has a large community of users, ensuring that there is a pool of talent to draw on when needed.