Stream data from Apache Kafka to Azure Blob Storage Parquet
Sync your Apache Kafka data with Azure Blob Storage Parquet in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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Apache Kafka connector details
The Apache Kafka connector captures high-volume streaming data from Kafka topics into Flow collections with support for both Avro and JSON message formats. It integrates seamlessly with Schema Registry for schema discovery and exactly-once delivery across distributed topics.
- Captures real-time Kafka streams from multiple topics
- Supports Avro and JSON message formats
- Integrates with Schema Registry for key and schema management
- Compatible with SASL/SCRAM, AWS IAM, and TLS authentication
- Secure deployment within Estuary’s Private and BYOC environments for compliance and governance
💡 Tip: Works with Confluent Cloud, AWS MSK, and other managed Kafka services. For best results, enable TLS and schema registry support to maintain schema integrity.

Azure Blob Storage Parquet connector details
The Azure Blob Parquet connector exports delta updates from Estuary Flow collections into Apache Parquet files stored in an Azure Blob Storage container, combining cost-efficient storage with analytics-ready formatting.
- Efficient delta materialization: Writes only new and updated records from Flow collections, ensuring minimal overhead and optimal storage use.
- Parquet format optimization: Stores data in the columnar Parquet format for better compression and query performance in downstream analytics tools.
- Configurable upload behavior: Supports adjustable upload intervals, file size limits, and row group configurations for fine-grained control.
- Seamless Azure integration: Uses your storage account name, key, and container to authenticate securely and store data reliably.
- Organized file structure: Automatically versions and names files in lexically sortable order for consistent and recoverable output.
- Flexible schema mapping: Converts Flow field types into compatible Parquet data types, preserving structure and precision.
💡 Tip: Use shorter upload intervals for time-sensitive analytics, or increase row group limits to optimize read performance in engines like Synapse or Databricks.
How to integrate Apache Kafka with Azure Blob Storage Parquet in 3 simple steps using Estuary Flow
Connect Apache Kafka as Your Real-Time Data Source
Set up a real-time source connector for Apache Kafka in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Azure Blob Storage Parquet as Your Target
Choose Azure Blob Storage Parquet as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
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Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Apache Kafka connector.
- Enter Details: Add your Apache Kafka connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Apache Kafka capture, and publish.
What is Apache Kafka?
How do I Transfer Data from Apache Kafka?
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Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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