Sync data from Jira to Kafka

CloudQuery is the simple, fast data integration platform that can fetch your data from Jira APIs and load it into Kafka

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Self-hosted

Start locally, then deploy to a Virtual Machine, Kubernetes, or anywhere else. Full instructions on CLI setup are available in our documentation.

Step-by-step Instructions

Cloud-hosted

Start syncing in a few clicks. No need to deploy your own infrastructure.

Coming soon for Jira to Kafka

Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from Jira to Kafka can be completed in a fraction of the time compared to other tools.

Easy to use, easy to maintain

Jira syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

A huge library of supported destinations

Kafka isn’t the only place we can sync your Jira data to. Whatever you need to do with your Jira data, CloudQuery can make it happen. We support a huge range of destinations, customizable transformations for ETL, and we regularly release new plugins.

Extensible and Open Source SDK

Write your own connectors in any language by utilizing the CloudQuery open source SDK powered by Apache Arrow. Get out-of-the-box scheduling, rate-limiting, transformation, documentation and much more.

Step by step guide for how to export data from Jira to Kafka

MacOS Windows Linux

MacOS Setup

Step 1: Install CloudQuery

To install CloudQuery, run the following command in your terminal:

brew install cloudquery/tap/cloudquery

Step 2: Create a Configuration File

Next, run the following command to initialize a sync configuration file for Jira to Kafka:

cloudquery init --source=jira --destination=kafka

This will generate a config file named jira_to_kafka.yaml. Follow the instructions to fill out the necessary fields to authenticate against your own environment.

Next, log in to the CloudQuery CLI. If you have't already, you can sign up for a free account as part of this step:

cloudquery login

Step 4: Run a Sync

cloudquery sync jira_to_kafka.yaml

This will start syncing data from the Jira API to your Kafka environment! 🚀

See the CloudQuery documentation portal for more deployment guides, options and further tips.

FAQs

What is CloudQuery?

CloudQuery is an open-source tool that helps you extract, transform, and load cloud asset data from various sources into databases for security, compliance, and visibility.

Why does CloudQuery require login?

Logging in allows CloudQuery to authenticate your access to the CloudQuery Hub and monitor usage for billing purposes. Data synced with CloudQuery remains private to your environment and is not shared with our servers or any third parties.

What data does CloudQuery have access to?

CloudQuery accesses only the metadata and configurations of your cloud resources that you specify without touching sensitive data or workloads.

How is CloudQuery priced?

CloudQuery offers flexible pricing based on the number of cloud accounts and usage. Visit our pricing page for detailed plans.

Is there a free version of CloudQuery?

Yes, CloudQuery offers a free plan that includes basic features, perfect for smaller teams or personal use. More details can be found on our pricing page.

What can I do with CloudQuery's Kafka integration?

With CloudQuery's Kafka integration, you can stream and manage cloud asset data across multiple cloud platforms in real-time, enabling a comprehensive view of your infrastructure.

How does CloudQuery's Kafka integration help with cloud asset inventory management?

It allows you to build a real-time inventory of your cloud assets by collecting, organizing, and storing data from Kafka streams, making asset tracking and auditing easier and more efficient.

How can I use CloudQuery's Kafka integration for security and compliance audits?

CloudQuery's Kafka integration streams cloud data into an easily queryable format, allowing you to automate compliance checks and security audits across all cloud environments in real-time.