AWS Elemental MediaConvert vs Panda: What are the differences?

### Introduction
AWS Elemental MediaConvert and Panda are both cloud-based transcoding services that help convert video files into different formats. They each have their own unique features and strengths that cater to different user needs.

1. **Input Formats**: AWS Elemental MediaConvert supports a wide range of input formats including MOV, MP4, AVI, and others, providing flexibility for users with various file types. On the other hand, Panda has a more focused approach, supporting popular formats like MP4, WebM, and FLV, which may be sufficient for users with specific requirements.

2. **Pricing Model**: AWS Elemental MediaConvert operates on a pay-as-you-go pricing model, allowing users to pay only for the resources they consume. In contrast, Panda offers a subscription-based pricing plan, which may be more cost-effective for users who have consistent transcoding needs and want a fixed monthly cost.

3. **Output Formats**: AWS Elemental MediaConvert offers a wide array of output formats such as MP4, WebM, and TS, catering to diverse user needs. Conversely, Panda has a more limited selection of output formats, focusing on popular options like MP4 and WebM, which may be sufficient for users with basic transcoding requirements.

4. **Integration with Other AWS Services**: AWS Elemental MediaConvert seamlessly integrates with other AWS services like Amazon S3 and AWS Elemental MediaPackage, providing a comprehensive ecosystem for video processing and delivery. Panda, on the other hand, may have limited integration options with other third-party services, which could be a consideration for users looking for a more integrated workflow.

5. **Customization Options**: AWS Elemental MediaConvert allows for extensive customization of transcoding settings, giving users more control over the output quality and file size. Panda, while offering some customization options, may have limitations in terms of fine-tuning settings, which could impact users with specific encoding requirements.

6. **Scalability**: AWS Elemental MediaConvert is designed to handle high volumes of video transcoding jobs at scale, making it suitable for users with demanding workloads or large libraries of video content. Panda, while capable of handling transcoding tasks efficiently, may have limitations in terms of scalability for users with rapidly growing needs.

In Summary, AWS Elemental MediaConvert and Panda differ in input/output format support, pricing models, integration capabilities, customization options, and scalability, catering to users with varying transcoding requirements.