The top 10 data warehouse solutions are:

1. Amazon Redshift: A fully managed, cloud-based data warehouse that can handle petabyte-scale data warehousing and big data analytics workloads.
2. Microsoft Azure Synapse Analytics (formerly SQL Data Warehouse): A fully managed, cloud-based data warehouse that combines the power of big data integration with the flexibility of a data lake.
3. Google BigQuery: A fully managed, cloud-based data warehouse that uses SQL for querying and managing petabyte-scale data.
4. Snowflake: A fully managed, cloud-based data warehouse that uses a unique architecture to separate compute and storage, making it highly scalable and flexible.
5. IBM Db2 Warehouse: A fully managed, cloud-based data warehouse that uses in-memory technology to deliver fast query response times.
6. Oracle Autonomous Data Warehouse: A fully managed, cloud-based data warehouse that uses machine learning to automate database management tasks.
7. Teradata Vantage: A fully-managed, cloud-based data warehouse that uses a shared-nothing architecture to deliver high performance.
8. SAP HANA: A fully managed, cloud-based data warehouse that uses in-memory technology to deliver fast query response times.
9. Vertica: A fully-managed, cloud-based data warehouse that uses a shared-nothing architecture to deliver high performance.
10. Exasol: A fully-managed, cloud-based data warehouse that uses in-memory technology to deliver fast query response times.

All of the above solutions are fully managed and cloud-based data warehouse solutions, which means that they are hosted and maintained by the vendor, and can scale up and down as needed. They all provide robust data management, data governance, data quality, data integration and data security features. They also offer different levels of scalability, performance, data integration, and flexibility. However, the specific features, capabilities, and pricing of each solution can vary, so it’s important to evaluate them based on your specific needs and use cases.