Apache DataFusion

Apache DataFusion

Apache Software Foundation
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About

Apache DataFusion is an extensible, high-performance query engine written in Rust that utilizes Apache Arrow as its in-memory format. Designed for developers building data-centric systems such as databases, data frames, machine learning, and streaming applications, DataFusion offers SQL and DataFrame APIs, a vectorized, multi-threaded, streaming execution engine, and support for partitioned data sources. It natively supports formats like CSV, Parquet, JSON, and Avro, and allows for seamless integration with object stores including AWS S3, Azure Blob Storage, and Google Cloud Storage. The engine features a comprehensive query planner, a state-of-the-art optimizer with capabilities like expression coercion and simplification, projection and filter pushdown, sort and distribution-aware optimizations, and automatic join reordering. DataFusion is highly customizable, enabling the addition of user-defined scalar, aggregate, and window functions, custom data sources, query languages, etc.

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

Professional developers and data engineers seeking a solution for building data-centric systems

Audience

Application development solution for DevOps teams

Support

Phone Support 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

Free
Free Version 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

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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 Supported

Training

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

Company Information

Apache Software Foundation
Founded: 2019
United States
datafusion.apache.org

Company Information

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

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
Spark Streaming

Spark Streaming

Apache Software Foundation

Categories

Database Supported

Categories

Integrations

Amazon S3 Supported
Amazon SageMaker Data Wrangler Not Supported
Apache Arrow Supported
Apache Avro Supported
Apache Parquet Supported
Apache Spark Not Supported
Azure Blob Storage Supported
C Supported
Comet LLM Not Supported
Feast Not Supported
Fosfor Decision Cloud Not Supported
Google Cloud Storage Supported
Google Sheets Supported
JSON Supported
Microsoft Excel Supported
Python Supported
Rust Supported
SDF Supported
SQL Supported
Union Pandera Not Supported

Integrations

Amazon S3 Not Supported
Amazon SageMaker Data Wrangler Supported
Apache Arrow Not Supported
Apache Avro Not Supported
Apache Parquet Not Supported
Apache Spark Supported
Azure Blob Storage Not Supported
C Not Supported
Comet LLM Supported
Feast Supported
Fosfor Decision Cloud Supported
Google Cloud Storage Not Supported
Google Sheets Not Supported
JSON Not Supported
Microsoft Excel Not Supported
Python Not Supported
Rust Not Supported
SDF Not Supported
SQL Not Supported
Union Pandera Supported
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