Deployd vs DreamFactory: What are the differences?
Deployd and DreamFactory are primarily classified as "API" and "Mobile Backend" tools respectively.
Some of the features offered by Deployd are:
- No boilerplate
- 1-step deploy
On the other hand, DreamFactory provides the following key features:
- REST Any Data Source
- Instant REST APIs and documentation
- Simple administration
Deployd and DreamFactory are both open source tools. It seems that Deployd with 4.96K GitHub stars and 685 forks on GitHub has more adoption than DreamFactory with 952 GitHub stars and 222 GitHub forks.
What is Deployd?
What is DreamFactory?
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What are the cons of using Deployd?
What are the cons of using DreamFactory?
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What tools integrate with Deployd?
What tools integrate with DreamFactory?
We were going to roll our own API across our data sources (we use a few) but decided to give DreamFactory a whirl before we did. It basically stopped us needing to write ETL operations by giving us a gateway that let us avoid data duplication and focus on data quality - leaving the data where it resides and calling it as needed via DreamFactory's clever scripting engine. It has a great reputation for app building, but its also been good spreading across our legacy and modern systems to homogenize everything. We're using it now instead of anything homegrown and it saved us quite a few sprints.
DreamFactory makes putting a REST API on top of a database a snap. Put an API on Redshift? No problem.
This has cut development time a ton and been super useful for us. If you're looking for simple SQL reporting into Slack check out something like SQLBot.co, but if you need to put an API on top of your database, DreamFactory's hard to beat.