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(rock music) - Welcome back to Under The Hood. Im your host, Chris Gioran. So far, we have discussed databases as storage backends, with their primary functionality boiling down to three areas. First, we need our data to be safe. It doesnt make sense to use a technology for storing large amounts of information if that information cannot be securely and reliably retrieved. Second, we want efficient access to the data. What efficient access means depends largely on the use case as the requirements for a transaction processing system differs docHubly from large-scale analytics or reporting jobs. A third requirement is scalability, which is the ability of the system to maintain a high level of performance across a wide range of metrics, including applied workload, data volume, hardware availability, or anything else your deployment demands. Neo4j has been in production for more than 15 years in a wide range of use cases. So, how does it fare in these core areas? Lets start with