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 Amazon Redshift?

Amazon Redshift stands out as the favored option for cloud data warehousing among a wide spectrum of clients, outpacing its rivals. It caters to analytical needs for a variety of enterprises, ranging from established Fortune 500 companies to burgeoning startups, helping them grow into multi-billion dollar entities, as exemplified by Lyft. The platform is particularly adept at facilitating the extraction of meaningful insights from vast datasets. Users can effortlessly perform queries on large amounts of both structured and semi-structured data throughout their data warehouses, operational databases, and data lakes, utilizing standard SQL for their queries. Moreover, Redshift enables the convenient storage of query results back to an S3 data lake in open formats like Apache Parquet, allowing for further exploration with other analysis tools such as Amazon EMR, Amazon Athena, and Amazon SageMaker. Acknowledged as the fastest cloud data warehouse in the world, Redshift consistently improves its speed and performance annually. For high-demand workloads, the newest RA3 instances can provide performance levels that are up to three times superior to any other cloud data warehouse on the market today. This impressive capability establishes Redshift as an essential tool for organizations looking to optimize their data processing and analytical strategies, driving them toward greater operational efficiency and insight generation. As more businesses recognize these advantages, Redshift’s user base continues to expand rapidly.

Media

Media

Integrations Supported

Amazon Data Firehose
Amazon SageMaker Data Wrangler
Blotout
Gravity Data
Indexima Data Hub
Mage Platform
Mage Sensitive Data Discovery
Meltano
PuppyGraph
SDF
SSIS Integration Toolkit
StarfishETL
Streamkap
Timbr.ai
Tonic Ephemeral
Amazon AppFlow
Arroyo
Bobsled
Explo
Tableau Catalog

Integrations Supported

Amazon Data Firehose
Amazon SageMaker Data Wrangler
Blotout
Gravity Data
Indexima Data Hub
Mage Platform
Mage Sensitive Data Discovery
Meltano
PuppyGraph
SDF
SSIS Integration Toolkit
StarfishETL
Streamkap
Timbr.ai
Tonic Ephemeral
Amazon AppFlow
Arroyo
Bobsled
Explo
Tableau Catalog

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.25 per hour
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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/redshift/

Categories and Features

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Popular Alternatives

Apache Iceberg Reviews & Ratings

Apache Iceberg

Apache Software Foundation

Popular Alternatives

Amazon S3 Reviews & Ratings

Amazon S3

Amazon
Apache HBase Reviews & Ratings

Apache HBase

The Apache Software Foundation
Vertica Reviews & Ratings

Vertica

OpenText