Performance and Size Tests

Introduction

To measure speed, we compare several of the most popular data serialization formats—JSON, MessagePack, and Protobuf—against Encodexx on a few typical tasks:

• Serializing an object with 10 fields
• Serializing an array of numeric objects
• Serializing deeply nested objects (10 levels deep)

Each serialization run is executed 40 times, measuring the expected execution time and standard deviation.

System Specifications

• CPU: Intel(R) Core(TM) Ultra 7 155H
• RAM: 16 GB
• OS: Windows 11

Data Generation

The data was pre-generated and is not included in the performance measurements.

  export const dataTest1 = {
    name: "Name",
    info: {
      createdAt: new Date(),
      updatedAt: new Date(),
      createdBy: "admin",
    },
    logs: Array.from({ length: 300000 }, (_, i) => ({
      id: i,
      createdAt: new Date(),
      updatedAt: new Date(),
      message: String(Math.random()),
    })),
  };

export const dataTest2 = {
  chart1: Array.from({ length: 5000000 }, (_, i) => ({
    id: i,
    xValue: Math.random() * 1000,
    yValue: Math.random() * 1000,
  })),
};

export const dataTest3 = {
  info: {
    createdAt: new Date(),
    updatedAt: new Date(),
    createdBy: Array.from({ length: 30000 }, () => ({
      name: "admin",
      email: {
        address: {
          primary: {
            value: {
              text: {
                content: {
                  value: {
                    textArr: Array.from({ length: 10 }, () => String(Math.random())),
                  },
                },
              },
            },
          },
        },
      },
    })),
  },
};

Test Code

Test code is available in the repository on GitHub

Serialization Results

Test 1 Results

Performed 80 runs

Test 2 Results

Performed 40 runs

Test 3 Results

Performed 80 runs

Deserialization Results

Test 1 Results

Performed 80 runs

Test 2 Results

Performed 40 runs

Test 3 Results

Performed 80 runs

Conclusions

As seen, Encodexx demonstrates excellent performance in both serialization and deserialization speed as well as data size. It also offers outstanding support for TypeScript and custom data types.