Difference Between The AWS boto And boto3
The following is the difference between AWS boto and boto3 software.
AWS boto |
AWS boto3 |
---|---|
Released in 2006 as the first AWS SDK for Python. |
Introduced in 2015, it is the next-generation AWS SDK for Python. |
It has an operation-based API design and it is less consistent. |
Boto3 has an object-oriented API design also called a resources-oriented API design. |
It is typically used for limited interaction with AWS services through client objects. |
Boto3 can be used to interact with AWS services like resource objects, EC2 instances, S3 buckets, and DynamoDB tables. |
Boto provides basic error-handling capabilities but the error messages are less actionable |
Boto3 improves error handling features with more informative error messages and exceptions. |
Boto has an active community of users and contributors and very few community-driven projects. |
Boto3 has gained more popularity over time and has a larger community |
Boto is still in use and may be suitable for certain use cases. |
Boto3 is recommended for interacting with AWS services for its community support, ongoing updates and support from AWS. |
Boto3 offers broader coverage of AWS services. |
Boto may have limitations in service coverage. |
Boto documentation may lack certain details or examples. |
Boto3 documentation may be more comprehensive and up-to-date. |
Middleware integration in Boto is more limited or less flexible. |
Boto3 offers better support for middleware or request/response processing. |
Parameter validation in Boto is less rigorous. |
Boto3 has strict parameter validation. |
What Is The Difference Between The AWS Boto And Boto3 ?
AWS offers vast services from compute power to storage, machine learning and easier deployment of applications, interacting with these services programmatically is essential for automating tasks, managing resources, and configuring infrastructure. For this purpose, AWS introduced boto and boto3 two Python libraries. Boto and Boto3 libraries help developers do these tasks programmatically and use the full potential of AWS services.