{"id":15324,"date":"2024-02-12T11:36:45","date_gmt":"2024-02-12T19:36:45","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=15324"},"modified":"2025-06-13T22:40:16","modified_gmt":"2025-06-14T05:40:16","slug":"fast-data-generation-capella","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/fast-data-generation-capella\/","title":{"rendered":"FAST Data Generation With The Capella Eventing Service"},"content":{"rendered":"

Every application developer has faced the need for sample data. Whether it’s for functional testing or stress testing at scale, a large volume of meaningful data is required to see how an app actually performs under real world conditions. In most cases using actual production data is out of the question because of the impact on operational workloads, and on data governance and security, so sample data is required.<\/span><\/p>\n

Random data generation tools exist, but they typically only generate simple repetitive data with generic values that bear no resemblance to complex application data. And these tools can rarely produce enough data to truly test apps for enterprise level scale and performance.<\/span><\/p>\n

I was recently involved in a development effort where we found ourselves faced with this very situation: a prototype airline app that worked fine with a miniscule amount of hand created data, but that had yet to be tested at scale with large volumes of data. And to make matters challenging, the data had to be complex with nested elements, making data generation tools that could only produce small amounts of simple data useless.<\/span><\/p>\n

For our solution, we turned to the amazing features and immense scale of Couchbase <\/span>Capella<\/span><\/a>, the cloud database as a service.<\/span><\/p>\n

Read on for an overview, follow along with the demo video showing the solution in action, or jump straight to the code in GitHub<\/a>.<\/p>\n