Terality vs Spark

Terality makes Pandas as scalable as Apache Spark just by changing the import, and without thinking about servers or clusters. Terality handles all the infrastructure and scaling behind the scenes.

Terality and Spark (Auto-managed)

	Spark	Terality
Dataset's size	Small to Large	Small to Large
Parallelization on multiple cores for lightning speed	Yes	Yes
Infrastructure	Custom	Serverless
Syntax	Scala or PySpark or SparkSQL	Pandas
Data scientist's autonomy	No	Yes
Support	None	Yes

Terality and Spark (managed via EMR, Dataproc, Databricks...)

	EMR/Dataproc/Databricks	Terality
Dataset's size	Small to Large	Small to Large
Parallelization on multiple cores for lightning speed	Yes	Yes
Infrastructure	Semi-managed	Serverless
Syntax	Scala or PySpark or SparkSQL	Pandas
Data scientist's autonomy	No	Yes
Support	Yes	Yes