How is data governance and security implemented in ClickHouse?

How is data governance and security implemented in ClickHouse?


Data governance and security in ClickHouse can be implemented through a combination of built-in features and external tools. Here are some examples of how data governance and security can be implemented in ClickHouse:

  1. User management and authentication: ClickHouse supports built-in user management and authentication through the use of user accounts and password hashes. It also supports external authentication methods such as LDAP and Kerberos.
  2. Access control: ClickHouse supports access control through the use of roles and permissions. Roles can be created to group users together, and permissions can be assigned to roles to control what actions users can perform on the database.
  3. Data encryption: ClickHouse supports data-at-rest encryption through the use of transparent data encryption (TDE) with Linux dm-crypt or LUKS.
  4. Network encryption: ClickHouse supports network encryption through the use of Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols.
  5. Auditing: ClickHouse supports auditing through the use of built-in audit logs and external tools such as Auditbeat.
  6. Data masking: ClickHouse supports data masking through the use of built-in functions such as MD5 and SHA1 and external tools such as DataSunrise.
  7. Data lineage: ClickHouse supports data lineage through the use of external tools such as Apache Atlas and Collibra.
  8. Compliance: ClickHouse supports compliance through the use of external tools such as DataSunrise, which can be used to monitor and enforce compliance policies.

In summary, ClickHouse provides built-in features for user management and authentication, access control, data encryption, and auditing, but it also provides external tools for data masking, data lineage, and compliance.

It’s important to note that it is always a good practice to consult with security experts and conduct a thorough security assessment before deploying ClickHouse in a production environment.

About Shiv Iyer 56 Articles
Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.

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