The top 10 data lake providers are:

1. Amazon S3: A fully managed, cloud-based data lake that can handle petabyte-scale data warehousing and big data analytics workloads.
2. Microsoft Azure Data Lake Storage: A fully managed, cloud-based data lake that allows you to store and analyze large amounts of data of any type, using Azure Data Lake Analytics and Azure HDInsight.
3. Google Cloud Storage: A fully managed, cloud-based data lake that allows you to store and analyze large amounts of data of any type, using Google Cloud Bigtable, Google Cloud Dataproc, and Google Cloud Dataflow.
4. IBM Cloud Object Storage: A fully managed, cloud-based data lake that allows you to store and analyze large amounts of data of any type, using IBM Cloud Watson Studio.
5. Oracle Cloud Infrastructure Object Storage: A fully managed, cloud-based data lake that allows you to store and analyze large amounts of data of any type, using Oracle Cloud Infrastructure Data Science.
6. Aliyun Object Storage Service (OSS): A fully managed, cloud-based data lake that allows you to store and analyze large amounts of data of any type, using Aliyun Data Lake Analytics.
7. MinIO: An open-source, high-performance, object storage system that is compatible with Amazon S3 and can be deployed on-premises or in the cloud.
8. Ceph: An open-source, distributed object storage system that can be used as a data lake and can be deployed on-premises or in the cloud.
9. GlusterFS: An open-source, distributed file system that can be used as a data lake and can be deployed on-premises or in the cloud.
10. DataLakeFS: An open-source, distributed file system that can be used as a data lake and can be deployed on-premises or in the cloud.

All of the above solutions are fully managed and cloud-based data lake 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. Some of the providers listed above are open-source solutions, which can be deployed on-premises or in the cloud, and they also provide different levels of scalability, performance, data integration, and flexibility.