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Description

Parquet was developed to provide the benefits of efficient, compressed columnar data representation to all projects within the Hadoop ecosystem. Designed with a focus on accommodating complex nested data structures, Parquet employs the record shredding and assembly technique outlined in the Dremel paper, which we consider to be a more effective strategy than merely flattening nested namespaces. This format supports highly efficient compression and encoding methods, and various projects have shown the significant performance improvements that arise from utilizing appropriate compression and encoding strategies for their datasets. Furthermore, Parquet enables the specification of compression schemes at the column level, ensuring its adaptability for future developments in encoding technologies. It is crafted to be accessible for any user, as the Hadoop ecosystem comprises a diverse range of data processing frameworks, and we aim to remain neutral in our support for these different initiatives. Ultimately, our goal is to empower users with a flexible and robust tool that enhances their data management capabilities across various applications.

Description

Effortlessly reduce image sizes while maintaining exceptional quality, Optimage stands out as a robust image optimization tool that consistently delivers the highest compression ratios while preserving visual integrity. This innovative software leads the pack in achieving visually lossless compression, setting new benchmarks in a wide array of third-party evaluations. Additionally, it offers the capability to resize and convert popular image and video formats, ensuring that professional photography standards are met. Designed with accessibility in mind, Optimage makes automatic image optimization available to everyone, contributing to its widespread adoption among users. With its advanced perceptual metrics and enhanced encoders, Optimage can achieve a remarkable reduction in image size by as much as 90% without compromising quality. Furthermore, the tool employs sophisticated algorithms for image reduction and data compression, solidifying its position as a top choice for those seeking effective image optimization solutions. As more people discover its benefits, Optimage continues to elevate the standards of digital imaging.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

3LC Yes 
APERIO DataWise Yes 
Amazon Data Firehose Yes 
Amazon SageMaker Data Wrangler Yes 
Data Sentinel Yes 
Ficstar Yes 
Gravity Data Yes 
Indexima Data Hub Yes 
Mage Sensitive Data Discovery Yes 
OpenObserve Yes 
PuppyGraph Yes 
Querri Yes 
StarfishETL Yes 
Streamkap Yes 
Tad Yes 
Timbr.ai Yes 
Timeplus Yes 
Tonic Ephemeral Yes 
Warp 10 Yes 
e6data Yes 

Integrations

3LC No 
APERIO DataWise No 
Amazon Data Firehose No 
Amazon SageMaker Data Wrangler No 
Data Sentinel No 
Ficstar No 
Gravity Data No 
Indexima Data Hub No 
Mage Sensitive Data Discovery No 
OpenObserve No 
PuppyGraph No 
Querri No 
StarfishETL No 
Streamkap No 
Tad No 
Timbr.ai No 
Timeplus No 
Tonic Ephemeral No 
Warp 10 No 
e6data No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$15 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

parquet.apache.org

Vendor Details

Company Name

Optimage

Website

optimage.app/

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