Cribl Stream^™ Use Case:
Pay Less for Infrastructure

It’s easy to get data into most log analytics systems (compared to traditional databases and data warehouses), and it’s typically easy to query it once it gets there – but unfortunately, that’s where the easy part ends. If you’re working with a tool that is optimized for fast search, the cost of retaining the data in that system grows linearly with retention time. For a deeper dive into the astounding cost ramp-up of indexing and storing data in your logging tool, review Why Log Systems Require So Much Infrastructure.