Polars PySpark

Related Products

  • Google Cloud BigQuery
    4.5 out of 5 stars 2,037 Ratings
    Visit Website for Google Cloud BigQuery
  • Denodo
    4.6 out of 5 stars 388 Ratings
    Visit Website for Denodo
  • DataBuck
    4.8 out of 5 stars 6 Ratings
    Visit Website for DataBuck
  • SCIKIQ
    4.6 out of 5 stars 14 Ratings
    Visit Website for SCIKIQ
  • Google Cloud Platform
    4.5 out of 5 stars 61,093 Ratings
    Visit Website for Google Cloud Platform
  • TIMi
    4.9 out of 5 stars 68 Ratings
    Visit Website for TIMi
  • RaimaDB
    4.8 out of 5 stars 12 Ratings
    Visit Website for RaimaDB
  • TradingView Stock Widgets
    5.0 out of 5 stars 16 Ratings
    Visit Website for TradingView Stock Widgets
  • B2i
    5.0 out of 5 stars 2 Ratings
    Visit Website for B2i
  • TrustInSoft Analyzer
    4.3 out of 5 stars 6 Ratings
    Visit Website for TrustInSoft Analyzer
Polars:

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.
PySpark:

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.
Polars:

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
PySpark:

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
Polars:

Audience

IT teams seeking a dataframe interface solution thats implemented in Rust
PySpark:

Audience

Application development solution for DevOps teams
Polars:

Support

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

Support

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

API

Offers API Supported
PySpark:

API

Offers API Supported
Polars:

Screenshots and Videos

PySpark:

Screenshots and Videos

Polars:

Pricing

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

Pricing

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

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
PySpark:

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
Polars:

Training

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

Training

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

Company Information

Polars
www.pola.rs/
PySpark:

Company Information

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

Alternatives

PySpark:

Alternatives

Polars:
Apache Spark

Apache Spark

Apache Software Foundation
PySpark:
Polars:
Apache DataFusion

Apache DataFusion

Apache Software Foundation
PySpark:
Polars:
PySpark:
Apache Spark

Apache Spark

Apache Software Foundation
Polars:
PySpark:
Spark Streaming

Spark Streaming

Apache Software Foundation
Polars:

Categories

Big Data Supported
Query Engines Supported
PySpark:

Categories

Polars:

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
PySpark:

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
Polars:
Claim Polars and update features and information
Claim Polars and update features and information
PySpark:
Claim PySpark and update features and information
Claim PySpark and update features and information