
Sync Linear issues with your Data Warehouse
Linear is a modern software development management platform that centralizes product planning, tracking, and delivery in one place. Designed for engineering and product teams, Linear combines issue tracking, sprint management, roadmaps, and workflows in a fast, minimalist interface, helping teams maintain focus, speed, and consistency throughout development.
In practice, Linear works as the product development “operating system”: from bugs and feature requests to strategic projects, everything is organized into clear cycles and flows, enabling teams to plan, build, and ship software with high efficiency.
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Create a single source of truth
What is Erathos?
Sync Linear projects and track results in real time
Erathos is a complete ELT software solution that extracts data from multiple sources through instant integrations. With plug-and-play connectors, you centralize all your data in a single analytics environment and build a Data Warehouse in minutes.
Why Erathos?
Plug-and-play connectors
Connect Linear with more than 80 other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all your information in a single analytics environment, ready to generate actionable insights.
Greater control over pipelines
Build data pipelines from Linear quickly: select the relevant data, set the schedule, frequency, and sync type—without writing a single line of code. You stay in full control, with complete flexibility.
Cutting-edge observability
Monitor your Linear pipelines with real-time alerts via email, Slack, or Discord. Stop getting caught off guard by sync errors and keep your data fresh and reliable.
Our customers
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and establish a pipeline.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
Data ingestion with control, observability, and scale























