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About

Knowing of data wrangling habits, Polars exposes a complete Python API, including the full set of features to manipulate DataFrames using an expression language that will empower you to create readable and performant code. Polars is written in Rust, uncompromising in its choices to provide a feature-complete DataFrame API to the Rust ecosystem. Use it as a DataFrame library or as a query engine backend for your data models.

About

PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

IT teams seeking a dataframe interface solution thats implemented in Rust

Audience

Application development solution for DevOps teams

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Polars
www.pola.rs/

Company Information

PySpark
spark.apache.org/docs/latest/api/python/

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
Apache DataFusion

Apache DataFusion

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
Spark Streaming

Spark Streaming

Apache Software Foundation

Categories

Big Data Supported
Query Engines Supported

Categories

Integrations

Amazon SageMaker Data Wrangler Not Supported
Apache Spark Not Supported
Comet LLM Not Supported
Feast Not Supported
Flyte Supported
Fosfor Decision Cloud Not Supported
Node.js Supported
OrcaSheets Supported
Python Supported
Rust Supported
SDF Supported
SQL Supported
Tecton Not Supported
Union Pandera Not Supported
ZenML Supported

Integrations

Amazon SageMaker Data Wrangler Supported
Apache Spark Supported
Comet LLM Supported
Feast Supported
Flyte Not Supported
Fosfor Decision Cloud Supported
Node.js Not Supported
OrcaSheets Not Supported
Python Not Supported
Rust Not Supported
SDF Not Supported
SQL Not Supported
Tecton Supported
Union Pandera Supported
ZenML Not Supported
Claim Polars and update features and information
Claim Polars and update features and information
Claim PySpark and update features and information
Claim PySpark and update features and information