Basecamp consolidates many project management systems into one centralized location that includes to-do lists, shared documents, schedules and discussions. In the Basecamp interface, users can see what tasks need to be accomplished, who they are assigned to and when they are due. They can also access public documents and discussion boards. This allows for more organized communication and more efficient and comprehensive teamwork.
Elasticsearch is a distributed, RESTful search and analytics engine that allows you to search and analyze your data in real time. It centrally stores your data so that you can use it to draw key insights and improve your long-term analytics.
Popular Use Cases
Bring all your Basecamp data to Amazon Redshift
Load your Basecamp data to Google BigQuery
ETL all your Basecamp data to Snowflake
Move your Basecamp data to MySQL
Bring all your Elasticsearch data to Amazon Redshift
Load your Elasticsearch data to Google BigQuery
ETL all your Elasticsearch data to Snowflake
Move your Elasticsearch data to MySQL
Basecamp's End Points
Get data about a project, including its name, status, and the list of tools enabled for that project (schedules, to-do’s, and message boards, for example). You can also use this endpoint to modify existing projects that need additional functionality or to trash projects that are no longer being worked on.
Retrieve information about a to-do task, such as its name, status, creator and assignee. Then, look at important information about your tasks such as what tasks a person has assigned to them, what tasks are still active and how long those tasks have been active. This can help you measure project performance and other key metrics.
Track any time a change occurs in Basecamp i.e. if there is a new comment, an assigned to-do, a new document, or any number of other events. This data can help you highlight trends, run analytics, and support any other data sources that rely on event reporting.
Get information about any comment made in Basecamp, including the name of the commenter, the date the comment was made, the content of the comment, and what project the comment was on. This data can help you both monitor user engagement and gauge which projects are being talked about the most.