Stream data from Jira to Google Cloud SQL for SQL Server
Move data from Jira to Google Cloud SQL for SQL Server in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Jira with Google Cloud SQL for SQL Server in 3 simple steps
Connect Jira as your data source
Set up a source connector for Jira in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure Google Cloud SQL for SQL Server as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to Google Cloud SQL for SQL Server.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

Jira connector details
The Jira source connector captures data from Jira Platform, Jira Software, and Jira Service Management REST APIs into Estuary collections. It can replicate Jira issues, comments, changelogs, projects, boards, sprints, users, workflows, and other Jira resources so product, engineering, support, and analytics teams can centralize Jira data for reporting and operational analysis.
- Capture Jira data from Jira Platform, Jira Software, and Jira Service Management APIs into Estuary collections.
- Replicate key Jira resources such as issues, issue comments, changelogs, projects, boards, sprints, users, workflows, statuses, and service desks.
- Map each selected Jira resource to a separate Estuary collection through its own binding.
- Connect using your Jira domain, account email, and Jira API token.
- Set a UTC start date to control how far back Estuary should replicate Jira data; if left blank, the connector defaults to 30 days before the present.
- Optionally limit issue replication to specific Jira project IDs, or leave the project filter blank to replicate issues from all projects.

Google Cloud SQL for SQL Server connector details
Connecting Google Cloud SQL for SQL Server with Estuary lets you automatically sync data from Estuary collections into SQL Server tables hosted on Google Cloud. This integration enables teams to materialize real-time data for analytics, reporting, and application backends without maintaining complex pipelines.
- Fully managed setup: Works with any SQL Server instance hosted on Google Cloud SQL (2017 or later)
- Automated table creation: Estuary generates and updates tables automatically based on your collection schema
- Flexible connectivity: Supports both direct public IP access and secure SSH tunneling through a Google Cloud VM
- Easy user setup: Create a dedicated database user (
flow_materialize) with control privileges using standard SQL commands - Delta update support: Choose between standard merge operations or delta updates for more efficient synchronization
- Secure configuration: Password-based or SSH key–based authentication ensures safe communication between Estuary and your SQL Server environment
💡 Tip: Use SSH tunneling if your instance does not allow public IP access. Set the address to _127.0.0.1:5432_ and provide your VM credentials under the _networkTunnel_ configuration.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary'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.

Jira to Google Cloud SQL for SQL Server pricing estimate
Estimated monthly cost to move 800 GB from Jira to Google Cloud SQL for SQL Server is approximately $1,000.
Data moved
Choose how much data you want to move from Jira to Google Cloud SQL for SQL Server each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Jira to Google Cloud SQL for SQL Server integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
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