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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 Data Firehose?

Easily capture, transform, and load live streaming data with minimal effort through straightforward steps. Begin by setting up a delivery stream, choosing your preferred destination, and you’ll be ready to stream data in real-time almost instantly. The system intelligently provisions and modifies compute, memory, and network resources without requiring constant oversight. You can convert raw streaming data into various formats like Apache Parquet while seamlessly partitioning the data in real-time, all without the need to develop your own processing frameworks. Amazon Data Firehose is recognized as the easiest option for quickly acquiring, transforming, and delivering data streams to data lakes, warehouses, and analytical platforms. To start using Amazon Data Firehose, you must create a stream that comprises a source, destination, and any required transformations. The service continuously oversees the data stream, automatically adjusting to fluctuations in data volume and ensuring almost instantaneous delivery. You have the flexibility to select a source for your data stream or take advantage of the Firehose Direct PUT API for direct data input. This efficient approach not only simplifies the process but also enhances performance when managing large data volumes, making it an invaluable tool for any data-driven operation. Furthermore, its ability to handle various data types ensures that users can adapt to diverse analytics needs.

Media

Media

Integrations Supported

Amazon Data Firehose
Amazon Simple Notification Service (SNS)
Apache DataFusion
Apache Parquet
Blotout
Doctor Droid
Hadoop
Mage Platform
Mage Sensitive Data Discovery
Orchestra
PuppyGraph
QuerySurge
SSIS Integration Toolkit
Splunk Cloud Platform
StarfishETL
Tad
Tenzir
Tictable
Tonic Ephemeral
Warp 10

Integrations Supported

Amazon Data Firehose
Amazon Simple Notification Service (SNS)
Apache DataFusion
Apache Parquet
Blotout
Doctor Droid
Hadoop
Mage Platform
Mage Sensitive Data Discovery
Orchestra
PuppyGraph
QuerySurge
SSIS Integration Toolkit
Splunk Cloud Platform
StarfishETL
Tad
Tenzir
Tictable
Tonic Ephemeral
Warp 10

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.075 per month
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/firehose/

Categories and Features

Categories and Features

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