Difference between upload and putObject for uploading a file to S3?
System Design practice on Codemia
Work through 120+ system design problems with detailed solutions, from rate limiters to multi-region storage.
Amazon Simple Storage Service (S3) is a widely used service for storing and managing data in the cloud. When uploading files to an S3 bucket, developers typically use the AWS SDK for their programming language of choice. In the AWS SDK for JavaScript, two common methods for uploading files to S3 are upload() and putObject(). Understanding the differences between these methods can help developers choose the best approach for their specific use case.
Technical Overview
putObject()
The putObject() method is a straightforward way to upload files to an S3 bucket. It sends a single HTTP PUT request to S3 to store the object.
- Syntax:
- Characteristics:
- Atomic Operation: Entire file uploads as a single operation.
- Simplicity: Straightforward for small files.
- Memory Constraints: Suitable for files that can fit into memory.
- Error Handling: Less sophisticated, as the call either succeeds or fails.
upload()
The upload() method, part of the ManagedUpload class provided by AWS SDK, is designed for larger files and offers more advanced features like multipart uploads, streaming, and progress tracking.
- Syntax:
- Characteristics:
- Multipart Upload Capability: Automatically manages multipart uploads for large files.
- Progress Tracking: Provides real-time upload progress with the
httpUploadProgressevent. - Error Handling: Enhanced error handling and automatic retries for failed parts.
- Streaming Support: Uploads data streams efficiently.
Key Differences
To better highlight the differences between upload() and putObject(), here is a summary table:
| Feature | putObject() | upload() |
| Operation Type | Single HTTP request | Managed, supports multipart operations |
| File Size Suitability | Best for small files | Efficient for large files |
| Memory Usage | Buffer entire object | Streams data in chunks, reducing memory footprint |
| Progress Monitoring | Not available | Supported via event listeners |
| Error Handling | Basic error reporting | Advanced, with retries and failed part handling |
| Usage Simplicity | Simpler, fewer configurations | More configuration options, suited for controlled uploads |
| Streaming Support | Limited | Capable of uploading streams |
Use Cases
When to Use putObject()
- Small File Uploads: If you are dealing with small files (a few MBs or less),
putObject()is generally more efficient. - Quick Implementations: For rapid development and when advanced features like progress tracking or multipart uploads are not required.
When to Use upload()
- Large File Uploads: For files exceeding 5MB, especially in scenarios where the file size may grow significantly.
- Streaming Data: When the upload involves data streaming from a file system or another service.
- Progress Tracking: Required in user interfaces to give feedback about upload progress.
- Handling Intermittent Network Issues: When stability of the network connection is a concern,
upload()with its retry logic and multipart capability is advantageous.
Conclusion
The choice between putObject() and upload() in the AWS SDK comes down to a trade-off between simplicity and advanced features. For applications where simplicity and minimal resource utilization are key, putObject() serves as the lightweight and efficient choice. Conversely, for handling larger files, the need for progress updates, and robust error management, upload() is more suited, despite its added complexity. Understanding these differences equips developers to use the right tool for their specific requirements in handling file uploads to S3.
Related reading
- Difference in Boto3 between resource, client, and session?
- Differences between AWS Fargate and multi-container Elastic Beanstalk?
- Directory Listing in S3 Static Website
- Disable boto logging without modifying the boto files
- Disable Cloudformation in Spring Cloud AWS
- Disadvantages of using eureka for Service Discovery with kubernetes
- Distributed Authentication
- Distributed data storage infrastructure for storage of video streams

System Design Fundamentals
Build a strong foundation in designing scalable, reliable distributed systems.
View the courseTrack what you have practised
A free account saves your progress, solutions and study plan across every problem on Codemia.
System Design practice on Codemia
Work through 120+ system design problems with detailed solutions, from rate limiters to multi-region storage.