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
Last modified 2mo ago