Millions of users globally rely on Atlassian products every day for improving software development, project management, collaboration, and code quality. Atlassian products include: JIRA Software, JIRA Service Desk, JIRA Core, StatusPage, Confluence, HipChat, Bitbucket, SourceTree, Bamboo, Cover, FishEye, Crucible.
As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.
Popular Use Cases
Bring all your Atlassian data to Amazon Redshift
Load your Atlassian data to Google BigQuery
ETL all your Atlassian data to Snowflake
Move your Atlassian data to MySQL
Bring all your Mode data to Amazon Redshift
Load your Mode data to Google BigQuery
ETL all your Mode data to Snowflake
Move your Mode data to MySQL
Atlassian's End Points
Request information about your service desk instance, including its version number, how long the instance has been running and what build it is. Accessing this data will, among other things, allow you to more successfully integrate your service desk with other relevant data sources.
Create a customer entity in JIRA Service Desk by providing Atlassian with the customer’s name, email and display name. Then, use this data in other endpoints to track service requests for a specific customer or integrate it with customer service data from other sources to provide a more comprehensive view of a customer’s journey.
Retrieve data on organizations that are engaging with your service desk, including the organizations’ names, IDs, properties and associated users. Then, access this endpoint to track those organizations, their users and their service requests so that you can have a better understanding of your service interactions with them.
Track any and all customer service requests and get relevant data, such as the customer’s contact info, the reason for the request, and the status of the request (what step it is on in your customer service process). Use this data to evaluate how well your company is responding to these requests and/or monitor customer service trends.
Mode's End Points
Mode White-Label Embeds and Visualizations
Mode SQL Editor
Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.
Mode Helix Data Engine
The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.
Mode Dashboard Features
Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.
Mode Native Python and R Notebooks
Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.