Data Protection Policies

Ensure compliance and data protection

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Mask, redact and anonymize data

Define robust data protection policies to safeguard sensitive information for all users or specific user groups. Implement full anonymization for data in topics, mask or redact data at the field level, or substitute values entirely as required. Ensure that groups with authorized full access can view original data, while other users only see masked or anonymized information.

Audit access & data classification

Track user access to sensitive information through the integrated audit log, ensuring full transparency. Classify data, enforce data owners and domain assignments in strict alignment with regulatory standards such as HIPAA, GDPR, CCPA, PCI DSS, and others.

Create test environments with realistic, secure data

Empower your teams to confidently test new applications and features by replicating production data into test environments—securely and seamlessly. Replicate production data into test environments with built-in masking and anonymization to deliver environments that reflect real-world scenarios.

Use custom encryption without compromising usability

Encrypt your payloads your way, without breaking usability. Ensure application teams can still troubleshoot streams effectively. With custom codecs, data can be decrypted on demand—only when necessary and if explicitly enabled— providing both security and flexibility.

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Guarantee Uptime
and increase Reliability

Monitor your clusters health. Receive alerts & detect problems even before they occur with automated fixes thanks to our intelligent health assistant.

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Stay out of the way while
maintaining control

Define fine-granular access rights and allow self-managed application teams while staying compliant and secure.

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Automate your data streaming environment and keep it consistent

Keep your infrastructure consistent and version controlled through change sets. Automate provisioning through Data Streamhouse’s CD/CI API.

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Keep costs under control

Reduce expenses, identify cost drivers, eliminate unused resources, and optimize data stream configurations for operational efficiency.

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Stay flexible for optimization

Easily migrate and manage hybrid Apache Kafka cluster setups: cloud, managed or on-prem.

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Try the Data Streamhouse for yourself

Experience the platform powering data streaming success around the globe.