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AWS Lambda vs Flyway: What are the differences?
AWS Lambda: Automatically run code in response to modifications to objects in Amazon S3 buckets, messages in Kinesis streams, or updates in DynamoDB. AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security; Flyway: Database Migrations Made Easy. Easy to setup, simple to master. Flyway lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. Flyway migrates your database, so you don't have to worry about it anymore.
AWS Lambda belongs to "Serverless / Task Processing" category of the tech stack, while Flyway can be primarily classified under "Database Tools".
Some of the features offered by AWS Lambda are:
- Extend other AWS services with custom logic
- Build custom back-end services
- Completely Automated Administration
On the other hand, Flyway provides the following key features:
- Supported databases: Oracle, SQL Server, SQL Azure, DB2, DB2 z/OS, MySQL, MariaDB, Google Cloud SQL, PostgreSQL, Redshift, Vertica, H2, Hsql, Derby, SQLite
- Supported build tools: Maven, Gradle, Ant and SBT
- Works on: Windows, Mac OSX, Linux, Java and Android
"No infrastructure" is the primary reason why developers consider AWS Lambda over the competitors, whereas "Superb tool, easy to configure and use" was stated as the key factor in picking Flyway.
Flyway is an open source tool with 4.2K GitHub stars and 915 GitHub forks. Here's a link to Flyway's open source repository on GitHub.
According to the StackShare community, AWS Lambda has a broader approval, being mentioned in 1022 company stacks & 613 developers stacks; compared to Flyway, which is listed in 15 company stacks and 19 developer stacks.
When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:
- Developer Experience trumps everything.
- AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
- If you need geographic spread, AWS is lonely at the top.
Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:
- Pure, uncut, self hosted Kubernetes — way too much complexity
- Managed Kubernetes in various flavors — still too much complexity
- Zeit — Maybe, but no Docker support
- Elastic Beanstalk — Maybe, bit old but does the job
- Heroku
- Lambda
It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?
I chopped that question up into the following categories:
- Developer Experience / DX 🤓
- Ops Experience / OX 🐂 (?)
- Cost 💵
- Lock in 🔐
Read the full post linked below for all details
Pros of AWS Lambda
- No infrastructure129
- Cheap83
- Quick70
- Stateless59
- No deploy, no server, great sleep47
- AWS Lambda went down taking many sites with it12
- Event Driven Governance6
- Extensive API6
- Auto scale and cost effective6
- Easy to deploy6
- VPC Support5
- Integrated with various AWS services3
Pros of Flyway
- Superb tool, easy to configure and use13
- Very easy to config, great support on plain sql scripts9
- Is fantastic and easy to install even with complex DB6
- Simple and intuitive4
- Easy tool to implement incremental migration1
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Cons of AWS Lambda
- Cant execute ruby or go7
- Compute time limited3
- Can't execute PHP w/o significant effort1
Cons of Flyway
- "Undo Migrations" requires pro version, very expensive3
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