Low code vs SQL: What transforms data faster?
- John Morrell
- November 30, 2021
Datameer No-code vs SQL
The scale, flexibility, and cost-efficiency of cloud data warehouses, such as Snowflake, give organizations an agile infrastructure. With this, they are able to create new data models and schemas on the fly for each analytics use case.
The last bottleneck of generating new analytics
However, these data models still require hand-coding in SQL and Python-like languages
- Robbing data engineers of valuable time.
- Leaving the domain experts out of the loop, waiting in the cold for months for the data engineering teams to complete it.
How to ease the backup and accelerate the development of data models
With Datameer , those days are over. E liminate the code writing bottlenecks with a hybrid code/no-code approach to data modeling and transformation . Data engineers use Datameer to build data models faster using the no-code visual interface. They are injecting SQL lines of code here and there when quickest. Data consumers can understand the model, edit or create their own with or without reliance on data engineering. Welcome to the truly agile analytics lifecycle.
Watch No-code Datameer vs SQL in action .
In this entertaining demo, two data engineers are racing to get the same data model done before the end of the day: one using Datameer, the other building it in SQL. Guess who makes it to happy hour?
Do you want to see a live Datameer instance in action and explore these unique data modeling and transformation capabilities? Sign up for your free trial today!
