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

dbForge SQL Complete is a powerful coding assistance tool available as an add-in for SQL Server Management Studio (SSMS) and Visual Studio (VS). It offers numerous features to enhance code quality and accelerate code creation within the standard interface. Key Features: - Context-aware suggestions for keywords and objects - T-SQL debugger - Flexible SQL formatting - Safe and fast code refactoring in large databases - Customizable code snippets with the ability to create user-defined snippets - Execute statements against the target database directly from the SQL Complete window - Various data visualization options - Customizable execution warnings and notifications - Quick access to database object descriptions - Query history with the ability to restore lost or closed documents or tabs dbForge SQL Complete greatly reduces human typing errors. Its integration with SSMS enhances coding capabilities, providing users with a robust toolset.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Database developers and administrators

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$129.95
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Devart
Founded: 1997
Czech Republic
www.devart.com

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
BigLake

BigLake

Google

Categories

Categories

Integrations

SQL
Amazon S3
Apache Arrow
Apache Avro
Apache Parquet
Azure Blob Storage
C
Google Cloud Storage
Google Sheets
JSON
Microsoft Excel
Python
Rust
SDF
SQL Server
SQL Server Management Studio (SSMS)
Visual Studio

Integrations

SQL
Amazon S3
Apache Arrow
Apache Avro
Apache Parquet
Azure Blob Storage
C
Google Cloud Storage
Google Sheets
JSON
Microsoft Excel
Python
Rust
SDF
SQL Server
SQL Server Management Studio (SSMS)
Visual Studio
Claim Apache DataFusion and update features and information
Claim Apache DataFusion and update features and information
Claim dbForge SQL Complete and update features and information
Claim dbForge SQL Complete and update features and information