Advanced Features of the Pravega Flink Connector Table API: Schema Registry, Catalog Integration, and Debezium Support

This article summarizes the Pravega Schema Registry project, its integration with Flink's Catalog API, the addition of Debezium CDC support, and the related implementation challenges, providing detailed DDL examples, code snippets, and architectural diagrams for building real‑time data pipelines.

CDCCatalog APIDebezium

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Advanced Features of the Pravega Flink Connector Table API: Schema Registry, Catalog Integration, and Debezium Support

DataFunTalk

Jul 28, 2021 · Big Data

Pravega Flink Connector: Past, Present, and Future – Architecture, Checkpoint Integration, and Upcoming Features

This article reviews the Pravega project and its Flink connector, covering Pravega's design for large‑scale streaming, the connector's evolution and exact‑once semantics, Flink 1.11 integration challenges, checkpoint mechanisms, and future plans such as schema‑registry and new Flink features.

Big DataCheckpointConnector

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Pravega Flink Connector: Past, Present, and Future – Architecture, Checkpoint Integration, and Upcoming Features

ITPUB

Mar 28, 2019 · Big Data

Why Pravega Matters: Native Stream Storage for Low‑Latency, Exactly‑Once Data Pipelines

Pravega, Dell’s native stream storage project, addresses the challenges of modern low‑latency, exactly‑once stream processing by combining tiered storage, Apache BookKeeper, and seamless Flink integration, offering a unified solution that reduces development, storage, and operational costs compared to traditional message systems like Kafka.

Apache FlinkExactly-OnceKafka Comparison

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Why Pravega Matters: Native Stream Storage for Low‑Latency, Exactly‑Once Data Pipelines