3 ms·
1) Latency. 2) Ease of data manipulation. Using Dynamo for a small data set is overkill. You can manipulate the data way faster on a local server, where it is
by icedchai 4y ago
1) Latency. 2) Ease of data manipulation.
Using Dynamo for a small data set is overkill. You can manipulate the data way faster on a local server, where it is basically in memory (disk cache), and not have to deal with any modelling issues.
I guess some people like the DynamoDB API? I find it incredibly awkward.
- blackoil 4y agoYou can be even faster if you store data in client. Though different use case different solutions.