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

Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries.

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

Companies interested in a low-code data pipeline platform

Support

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

Support

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

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial 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 Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Company Information

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

Company Information

Upsolver
Founded: 2014
Israel
www.upsolver.com

Alternatives

Alternatives

Categories

Database Supported

Categories

Big Data Supported
Data Integration Supported
Data Lake Supported
Data Mining Supported
Data Pipeline Supported
Data Preparation Supported

Big Data Features

Collaboration Not Supported
Data Blends Supported
Data Cleansing Supported
Data Mining Supported
Data Visualization Not Supported
Data Warehousing Not Supported
High Volume Processing Supported
No-Code Sandbox Supported
Predictive Analytics Not Supported
Templates Not Supported

Integrations

AWS IoT SiteWise Not Supported
Amazon S3 Supported
Apache Arrow Supported
Apache Avro Supported
Apache Parquet Supported
Azure Blob Storage Supported
C Supported
Eco Not Supported
Google Cloud Storage Supported
Google Sheets Supported
Hive Not Supported
JSON Supported
Micromerce Not Supported
Microsoft Excel Supported
PuppyGraph Not Supported
Python Supported
Rust Supported
SDF Supported
SQL Supported

Integrations

AWS IoT SiteWise Supported
Amazon S3 Not Supported
Apache Arrow Not Supported
Apache Avro Not Supported
Apache Parquet Not Supported
Azure Blob Storage Not Supported
C Not Supported
Eco Supported
Google Cloud Storage Not Supported
Google Sheets Not Supported
Hive Supported
JSON Not Supported
Micromerce Supported
Microsoft Excel Not Supported
PuppyGraph Supported
Python Not Supported
Rust Not Supported
SDF Not Supported
SQL Not Supported
Claim Apache DataFusion and update features and information
Claim Apache DataFusion and update features and information
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Claim Upsolver and update features and information