Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google Cloud BigQuery Reviews & Ratings
    1,730 Ratings
    Company Website
  • Snowflake Reviews & Ratings
    1,389 Ratings
    Company Website
  • StarTree Reviews & Ratings
    25 Ratings
    Company Website
  • Ensora Mental Health Reviews & Ratings
    1,094 Ratings
    Company Website
  • MASV Reviews & Ratings
    63 Ratings
    Company Website
  • Comet Backup Reviews & Ratings
    224 Ratings
    Company Website
  • CirrusPrint Reviews & Ratings
    2 Ratings
    Company Website
  • OmegaCube ERP Reviews & Ratings
    12 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    55,697 Ratings
    Company Website
  • Acumatica Cloud ERP Reviews & Ratings
    2,626 Ratings
    Company Website

What is Apache Parquet?

Parquet was created to offer the advantages of efficient and compressed columnar data formats across all initiatives within the Hadoop ecosystem. It takes into account complex nested data structures and utilizes the record shredding and assembly method described in the Dremel paper, which we consider to be a superior approach compared to just flattening nested namespaces. This format is specifically designed for maximum compression and encoding efficiency, with numerous projects demonstrating the substantial performance gains that can result from the effective use of these strategies. Parquet allows users to specify compression methods at the individual column level and is built to accommodate new encoding technologies as they arise and become accessible. Additionally, Parquet is crafted for widespread applicability, welcoming a broad spectrum of data processing frameworks within the Hadoop ecosystem without showing bias toward any particular one. By fostering interoperability and versatility, Parquet seeks to enable all users to fully harness its capabilities, enhancing their data processing tasks in various contexts. Ultimately, this commitment to inclusivity ensures that Parquet remains a valuable asset for a multitude of data-centric applications.

What is Apache DataFusion?

Apache DataFusion is a highly adaptable and capable query engine developed in Rust, which utilizes Apache Arrow for efficient in-memory data handling. It is intended for developers who are working on data-centric systems, including databases, data frames, machine learning applications, and real-time data streaming solutions. Featuring both SQL and DataFrame APIs, DataFusion offers a vectorized, multi-threaded execution engine that efficiently manages data streams while accommodating a variety of partitioned data sources. It supports numerous native file formats, including CSV, Parquet, JSON, and Avro, and integrates seamlessly with popular object storage services such as AWS S3, Azure Blob Storage, and Google Cloud Storage. The architecture is equipped with a sophisticated query planner and an advanced optimizer, which includes features like expression coercion, simplification, and distribution-aware optimizations, as well as automatic join reordering for enhanced performance. Additionally, DataFusion provides significant customization options, allowing developers to implement user-defined scalar, aggregate, and window functions, as well as integrate custom data sources and query languages, thereby enhancing its utility for a wide range of data processing scenarios. This flexibility ensures that developers can effectively adjust the engine to meet their specific requirements and optimize their data workflows.

Media

Media

Integrations Supported

SDF
3LC
Amazon Data Firehose
Amazon S3
Apache Arrow
Apache Avro
Apache DataFusion
Apache Parquet
Arroyo
Blotout
C
Data Sentinel
Gable
MLJAR Studio
PuppyGraph
QStudio
SSIS Integration Toolkit
Timbr.ai
Timeplus
e6data

Integrations Supported

SDF
3LC
Amazon Data Firehose
Amazon S3
Apache Arrow
Apache Avro
Apache DataFusion
Apache Parquet
Arroyo
Blotout
C
Data Sentinel
Gable
MLJAR Studio
PuppyGraph
QStudio
SSIS Integration Toolkit
Timbr.ai
Timeplus
e6data

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

parquet.apache.org

Company Facts

Organization Name

Apache Software Foundation

Date Founded

2019

Company Location

United States

Company Website

datafusion.apache.org

Categories and Features

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Popular Alternatives

Apache Iceberg Reviews & Ratings

Apache Iceberg

Apache Software Foundation

Popular Alternatives

AnySQL Maestro Reviews & Ratings

AnySQL Maestro

SQL Maestro Group
Apache HBase Reviews & Ratings

Apache HBase

The Apache Software Foundation