Dataform
Dataform enables data analysts and data engineers to develop and operationalize scalable data transformation pipelines in BigQuery using only SQL from a single, unified environment. Its open source core language lets teams define table schemas, configure dependencies, add column descriptions, and set up data quality assertions within a shared code repository while applying software development best practices, version control, environments, testing, and documentation. A fully managed, serverless orchestration layer automatically handles workflow dependencies, tracks lineage, and executes SQL pipelines on demand or via schedules in Cloud Composer, Workflows, BigQuery Studio, or third-party services. In the browser-based development interface, users get real-time error feedback, visualize dependency graphs, connect to GitHub or GitLab for commits and code reviews, and launch production-grade pipelines in minutes without leaving BigQuery Studio.
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CloudQA
5.0 out of 5 stars
(2 Ratings)
CloudQA offers a powerful no-code/low code automation platform to speed up regression testing OR continuous monitoring of web applications. Type, click, and interact with your site as you normally would. Our recorder captures all of your actions as you navigate your site. No worrying about complexities like nested iFrames or dynamic elements.
Intuitive and intelligent script maintenance - Manage tests/monitoring scripts with visual editor, as it creates a dynamic test model that is updated to reflect changes in your application. Automate complex steps with simple JavaScript & select variable data sets.
With automation accelerators you require no setup, no infrastructure & no lock-in. Get high volume parallel, scalable & collaborative testing in cloud. Out of the box support for legacy & latest web technologies. See live execution of your tests, share summary & detailed reports with screenshots. Integrate with your tech stack and setup custom notifications.
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Domo
4.6 out of 5 stars
(49 Ratings)
Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives.
Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI. Domo works with cloud data platforms including Snowflake, BigQuery, and Databricks to turn governed data into AI agents, apps, workflows, dashboards, and analytics. Its data foundation, activation, and distribution layers help teams build and deliver intelligence where work happens, with governance, security, and access controls across data and AI.
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Tempo BigQuery Connector for Jira
BigQuery Connector for Jira is a no-code integration that loads Jira data into Google BigQuery for large-scale analysis and reporting. Export any Jira data – standard fields, custom fields, history, and agile metrics – plus data from across the Tempo suite (Timesheets, Capacity Planner, Financial Manager) and other Marketplace apps. Calculated fields like Time in Status and Time at Assignee come built in. Filter with basic options or JQL, schedule automatic refreshes, and keep your BigQuery datasets consistently up to date – no coding required. Granular permissions and sharing settings keep data access aligned to user roles. Built for enterprise, government, and education teams running analytics on a cloud data warehouse.
BigQuery Connector for Jira is part of Tempo's Strategic Portfolio Management (SPM) suite, alongside Tempo Structure PPM, Timesheets, Capacity Planner, and Financial Manager.
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