dblok

Dblok is a modular, open-source framework designed to block or filter data streams in real time. It provides a declarative policy language that lets developers specify blocking rules for events, messages, or records without writing imperative filtering code. Dblok emphasizes privacy, compliance, and data quality by enabling centralized policy management and consistent enforcement across multiple data pipelines.

At its core, dblok consists of a policy compiler, a runtime engine, and a set of connectors to common data sources and sinks. The policy language supports predicates, actions (such as redact, drop, or route), and policy versioning. The runtime evaluates incoming data against active policies, with support for streaming or batched processing. The architecture is designed to be pluggable, enabling backends for storage, messaging, and transport to be swapped as needed.

Typical deployments include data ingestion layers in analytics platforms, log processing pipelines, and privacy-preserving data relays. Use cases cover PII redaction, data minimization, compliance labeling, content moderation, and telemetry scrubbing. Administrators can audit enforcement decisions and track policy history for accountability.

Development is community-driven and released under an open-source license. The ecosystem includes documentation, example policies, adapters, and integration guides. Critics note that effective use depends on well-designed policies, and interoperability with existing pipelines may require adapters or custom connectors.