Apache DataFusion

Apache DataFusion

Apache Software Foundation
+
+

Related Products

  • Tenzir
    3 Ratings
    Visit Website
  • StarTree
    25 Ratings
    Visit Website
  • Azore CFD
    14 Ratings
    Visit Website
  • Cribl Stream
    8 Ratings
    Visit Website
  • SureSync
    13 Ratings
    Visit Website
  • RaimaDB
    5 Ratings
    Visit Website
  • Epsilon3
    259 Ratings
    Visit Website
  • FusionAuth
    119 Ratings
    Visit Website
  • Google Cloud BigQuery
    1,734 Ratings
    Visit Website
  • Vertex AI
    713 Ratings
    Visit Website

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

A scalable cloud database for real-time analysis on large and streaming datasets. Kinetica is designed to harness modern vectorized processors to be orders of magnitude faster and more efficient for real-time spatial and temporal workloads. Track and gain intelligence from billions of moving objects in real-time. Vectorization unlocks new levels of performance for analytics on spatial and time series data at scale. Ingest and query at the same time to act on real-time events. Kinetica's lockless architecture and distributed ingestion ensures data is available to query as soon as it lands. Vectorized processing enables you to do more with less. More power allows for simpler data structures, which lead to lower storage costs, more flexibility and less time engineering your data. Vectorized processing opens the door to amazingly fast analytics and detailed visualization of moving objects at scale.

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

SMBs and enterprises searching for a solution to harness modern vectorized processors

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

No information available.
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

Kinetica
Founded: 2009
United States
www.kinetica.com

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
BigLake

BigLake

Google

Categories

Categories

Streaming Analytics Features

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Integrations

Amazon S3
Apache Arrow
Azure Blob Storage
C
Google Cloud Storage
Gravity Data
JSON
Microsoft Excel
Oracle Audience Segmentation
Oracle Big Data Preparation
Oracle Cloud Infrastructure Data Catalog
Oracle Cloud Infrastructure Object Storage
Oracle Digital Assistant
Oracle Endeca Commerce
Oracle Machine Learning
Oracle Partner Relationship Management
Oracle Subscription Management
Oracle Unity Customer Data Platform
Python
SQL

Integrations

Amazon S3
Apache Arrow
Azure Blob Storage
C
Google Cloud Storage
Gravity Data
JSON
Microsoft Excel
Oracle Audience Segmentation
Oracle Big Data Preparation
Oracle Cloud Infrastructure Data Catalog
Oracle Cloud Infrastructure Object Storage
Oracle Digital Assistant
Oracle Endeca Commerce
Oracle Machine Learning
Oracle Partner Relationship Management
Oracle Subscription Management
Oracle Unity Customer Data Platform
Python
SQL
Claim Apache DataFusion and update features and information
Claim Apache DataFusion and update features and information
Claim Kinetica and update features and information
Claim Kinetica and update features and information