Mongodb
Verifiedby github
Building a data science environment from scratch can get a little messy fast. Easier to manage packages, environments and dependencies at one place. But the interface is a bit technical. Better suited for analytics, machine learning or research than casual scripting, it fits Python and R users more than anything else. There is a learning curve before it begins to save time.
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About Mongodb
Building a data science environment from scratch can get a little messy fast. Easier to manage packages, environments and dependencies at one place. But the interface is a bit technical. Better suited for analytics, machine learning or research than casual scripting, it fits Python and R users more than anything else. There is a learning curve before it begins to save time.
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Features
Pros & Cons
ADVANTAGES
- Flexible schema design
- Handles growing datasets
- Broad language support
- Built-in replication
- Cloud deployment options
DISADVANTAGES
- Limited JOIN support
- Different SQL mindset
- Transaction limits exist
Technical Details
- Version
- 2015
- Platform
- Windows
- License
- Free
- Developer
- github
System Requirements
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