NOTE: For an updated set of benchmarks, see the Benchmarks page.
Besides these two BCL (base class library) JSON serializers, there are popular third-party offering such as Json.Net and a relatively newer ServiceStack.Text which also offers its own serialization format called JSV (JSON + CSV).
It is claimed that ServiceStack.Text‘s JSON serializer is 3x faster than Json.Net and 3.6x faster than the BCL JSON serializers! So, naturally, I had to test it out for myself and here’s what I found.
Assumptions/Conditions of tests
- code is compiled in release mode, with optimization options turned on
- 5 runs of the same test is performed, with the top and bottom results excluded, the remaining three results is then averaged
- 100,000 instances of type SimpleObject (see below) is created, each with a different ID and Name, and then given to the serializers to serialize and deserialize
- serialization/deserialization of the objects happen sequentially in a loop (no concurrency)
With these assumptions in mind, here are the average times (in milliseconds) I recorded for serialization and deserialization using each of five JSON serializers I tested:
Looking at these data, it would seem the ServiceStack.Text.JsonSerializer class offers the best speed in both serialization and deserialization cases, however the gains are much more modest than those advertised in the case of serialization. However, it really comes into its own when it comes to deserialization and the speed gains are quite impressive indeed!
Turns out I had a typo in my performance test code and I was using Json.Net for the serialization test for SimpleJson, my bad, sorry folks… So I fixed the typo and ran the tests again and updated the data and graph above with the correct data. As Prabir Shrestha pointed out, by enabled Reflection.Emit you’re able to get much better performance out of SimpleJson and the new test results reflect this as the SimpleJson test was run whilst Reflection.Emit was enabled.
I specialise in rapidly transitioning teams to serverless and building production-ready services on AWS.
Are you struggling with serverless or need guidance on best practices? Do you want someone to review your architecture and help you avoid costly mistakes down the line? Whatever the case, I’m here to help.
Check out my new course, Complete Guide to AWS Step Functions. In this course, we’ll cover everything you need to know to use AWS Step Functions service effectively. Including basic concepts, HTTP and event triggers, activities, callbacks, nested workflows, design patterns and best practices.
Here is a complete list of all my posts on serverless and AWS Lambda. In the meantime, here are a few of my most popular blog posts.
- Lambda optimization tip – enable HTTP keep-alive
- You are thinking about serverless costs all wrong
- Many faced threats to Serverless security
- We can do better than percentile latencies
- I’m afraid you’re thinking about AWS Lambda cold starts all wrong
- Yubl’s road to Serverless
- AWS Lambda – should you have few monolithic functions or many single-purposed functions?
- AWS Lambda – compare coldstart time with different languages, memory and code sizes
- Guys, we’re doing pagination wrong