From some further testing: 1. With a batch size of 10k, there is a negligible difference in write performance on my machine (with SQLite taking around 10% longe

From some further testing: 1. With a batch size of 10k, there is a negligible difference in write performance on my machine (with SQLite taking around 10% longer). 2. Reads are still slower, with the majority of the time spent in decoding. There are probably faster ways to convert List<double> into a Uint8List - probably using the typed_data library. I haven't tested this yet. With larger batch sizes, memory usage becomes a problem with the current sqlite_async batch implementation. There can probably be improved in the library, but a workaround is to split the writes into smaller batches. Overall, you should be able to get very similar performance between Isar and SQLite, but there is something to say for Isar providing better performance for the default/obvious way of doing things in this case.