title: Returning .NET POCO as data frame over WebAPI to R client
body: <p>I'm looking into how to <em>efficiently</em> return .NET Plain Old C# Objects (POCO) to R clients using WebAPI.  Right now we serialize JSON and the R client uses <code>httr</code> and <code>jsonfile</code>.</p>
  
  <p>So far, we've successfully moved a lot of slow R calculations into .NET, and it seems like our remaining slowness is in serialization/deserialization and network overhead.  It would be ideal if we compressed the data on the .NET side of things using a format R could readily load, like <code>fst</code> (the fastest R de-serialization package).  However, I'm not an expert in R and don't know the <code>fst</code> file format.  I looked around and saw that F# has a <code>Deedle</code> library managing time series and interoperability with R, but don't think they specifically tackle this scenario.</p>
  
  <p>This is for a data science framework, so I'm open to all kinds of suggestions here to further speed things up.</p>