Stream data from Jira to Apache Kafka
Sync your Jira data with Apache Kafka in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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Jira connector details
- Log-based CDC for high-performance, low-impact data capture
- Automatic schema evolution to handle changes in source structure without manual intervention
- Unified streaming and batch ingestion in the same pipeline
- Hybrid deployment and BYOC support for security and control
- Fault-tolerant pipelines that resume automatically from the last checkpoint
- Kafka API connectivity for direct integration into streaming ecosystems

Apache Kafka connector details
The Apache Kafka materialization connector publishes data from Estuary Flow collections to Kafka topics, enabling downstream systems to consume real-time streams of structured, reliable data.
- Continuous streaming: Streams collection updates to Kafka topics in real-time for event-driven architectures and analytics pipelines.
- Flexible message encoding: Supports both Avro (with schema registry) and JSON formats, giving teams flexibility in serialization strategy.
- Secure authentication: Compatible with SASL/PLAIN, SCRAM-SHA-256, and SCRAM-SHA-512 authentication methods, along with TLS encryption.
- Scalable configuration: Allows you to define topic partitions and replication factors for performance and redundancy.
- Schema registry support: Seamlessly integrates with Confluent Cloud or self-hosted schema registries for Avro schema management.
- At-least-once delivery: Ensures reliable message delivery with future support planned for exactly-once semantics.
💡 Tip: When connecting to Confluent Cloud, use the PLAIN SASL mechanism and provide your schema registry key and secret for authentication.
How to integrate Jira with Apache Kafka in 3 simple steps using Estuary Flow
Connect Jira as Your Real-Time Data Source
Set up a real-time source connector for Jira in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Apache Kafka as Your Target
Choose Apache Kafka 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.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
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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Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Flow's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.
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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Jira connector.
- Enter Details: Add your Jira connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Jira capture, and publish.
What is Jira?
How do I Transfer Data from Jira?
What are the pricing options for Estuary Flow?
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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Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Flow's rich CLI.
