FWIW, gRPC can support msg size up to 4GB (minus a few bytes) but you may 
be limited to 2GB or less due to protobuf library limitations. For example, 
python protobuf plugin default is 64MB which can be increased. See 
https://github.com/grpc/grpc/issues/19221.

On Tuesday, April 21, 2020 at 7:54:05 AM UTC-7 Dean Hiller wrote:

> Having worked at Twitter(heavy thrift!!!) I would say it doesn't really 
> matter as long as you deliver it in pieces typically.  I would not deliver 
> one HUGE object (HUGE is relative) and instead might call N times to 
> deliver the whole thing.  This has huge advantages in slamming it in many 
> cases and when done right, servers can remain stateless.  My 2 cents is 
> that 80% of your perf issue will be in 20% of the code and there is a good 
> chance, it's not the protocol unless you have been optimizing your server 
> for a while.  (Donald Knuth - Premature optimization is the root of all 
> evil)
>
> On Mon, Apr 20, 2020 at 7:29 PM Philip <[email protected]> wrote:
>
>> I have the large size of request data to be submitted to remote server 
>> API. (something like machine learning's feature data).
>> Will I use thrift or gRPC (protobuf behind it) to implement it for 
>> better performance/security etc?
>>
>> Thank you.
>>
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