PySpark

What is PySpark?

It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.

PySpark is a tool in the Development & Training Tools category of a tech stack.

PySpark Pros & Cons

Pros of PySpark

No pros listed yet.

Cons of PySpark

No cons listed yet.

PySpark Integrations

Dask, AWS Data Wrangler, Feathr, Mage.ai, Serra are some of the popular tools that integrate with PySpark. Here's a list of all 5 tools that integrate with PySpark.

PySpark Alternatives & Comparisons

What are some alternatives to PySpark?

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

SciPy

Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.

Dataform

Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.

PySpark Integrations

Dask, AWS Data Wrangler, Feathr, Mage.ai, Serra are some of the popular tools that integrate with PySpark. Here's a list of all 5 tools that integrate with PySpark.