New Connector: Bring Data from Linear to Your Warehouse with Full Observability
Erathos' Linear connector syncs issues, cycles, and projects to your data warehouse. Incremental, no-code, with run-level observability for every execution.
Engineering teams live in Linear. Issues created, cycles closed, projects delivered — and within all that activity there’s a massive amount of data about how your team actually operates: cycle time, backlog health, throughput, resolution rate, and much more. The problem is that this data has always been locked inside Linear, disconnected from the rest of your analytics stack.
As of today, that changes.
We’re launching the Erathos Linear connector — so you can extract, model, and analyze Linear data with the same level of control and observability you already expect from any other pipeline in your stack.
What you can ingest
The Linear connector gives you access to the full object model that matters for engineering analytics:
Issues — with states, priorities, labels, assignees, and cycle times
Projects — tied to teams, milestones, and status updates
Teams — org structure, members, and settings
Cycles — sprint data, including scope, velocity, and completion rates
Users — for assignment and workload analysis
Comments — for communication pattern analysis
Labels and Workflow States — for process compliance tracking
Not just another connector
Most ingestion tools treat connectors like black boxes. You point them at an API, the data gets pulled, and you hope it works. When something breaks, you find out weeks later downstream, in a broken dashboard.
Erathos works differently. Every Linear ingestion run is fully observable: you can see exactly which records were fetched, which ones were skipped, and why. You control sync frequency, the incremental cursor, and how schema changes are handled — without touching a single line of infrastructure code.
For data teams that care about pipeline quality and reliability, that’s the difference between a connector you trust and one you have to babysit.
Use cases we see most often
Engineering performance analytics — Combine Linear cycle data with your deploy logs to build real DORA metrics, with context.
Backlog health monitoring — Track issue aging, triage latency, and label distribution over time in your warehouse.
Cross-functional reporting — Join Linear project data with your CRM, support tickets, or product usage data to understand how engineering effort turns into customer impact.
Data-driven sprint retrospectives — Stop trying to reconstruct what happened from memory. Query cycle history directly.
Getting started
The Linear connector is available to all Erathos users starting today. Go to erathos.com/connectors/linear to connect your workspace.
Authentication is handled through Linear OAuth — no API keys to rotate, no manual token management. Once connected, you choose which teams and object types to sync, set the destination schema, and Erathos handles the rest — with full visibility into every step.
If you have questions or want a demo, reach out.
Engineering teams live in Linear. Issues created, cycles closed, projects delivered — and within all that activity there’s a massive amount of data about how your team actually operates: cycle time, backlog health, throughput, resolution rate, and much more. The problem is that this data has always been locked inside Linear, disconnected from the rest of your analytics stack.
As of today, that changes.
We’re launching the Erathos Linear connector — so you can extract, model, and analyze Linear data with the same level of control and observability you already expect from any other pipeline in your stack.
What you can ingest
The Linear connector gives you access to the full object model that matters for engineering analytics:
Issues — with states, priorities, labels, assignees, and cycle times
Projects — tied to teams, milestones, and status updates
Teams — org structure, members, and settings
Cycles — sprint data, including scope, velocity, and completion rates
Users — for assignment and workload analysis
Comments — for communication pattern analysis
Labels and Workflow States — for process compliance tracking
Not just another connector
Most ingestion tools treat connectors like black boxes. You point them at an API, the data gets pulled, and you hope it works. When something breaks, you find out weeks later downstream, in a broken dashboard.
Erathos works differently. Every Linear ingestion run is fully observable: you can see exactly which records were fetched, which ones were skipped, and why. You control sync frequency, the incremental cursor, and how schema changes are handled — without touching a single line of infrastructure code.
For data teams that care about pipeline quality and reliability, that’s the difference between a connector you trust and one you have to babysit.
Use cases we see most often
Engineering performance analytics — Combine Linear cycle data with your deploy logs to build real DORA metrics, with context.
Backlog health monitoring — Track issue aging, triage latency, and label distribution over time in your warehouse.
Cross-functional reporting — Join Linear project data with your CRM, support tickets, or product usage data to understand how engineering effort turns into customer impact.
Data-driven sprint retrospectives — Stop trying to reconstruct what happened from memory. Query cycle history directly.
Getting started
The Linear connector is available to all Erathos users starting today. Go to erathos.com/connectors/linear to connect your workspace.
Authentication is handled through Linear OAuth — no API keys to rotate, no manual token management. Once connected, you choose which teams and object types to sync, set the destination schema, and Erathos handles the rest — with full visibility into every step.
If you have questions or want a demo, reach out.