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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

Querri is an innovative data analytics platform powered by AI, aimed at simplifying data collaboration by allowing users to connect, clean, analyze, and visualize their data seamlessly in a unified environment. With its intuitive natural-language interface, users can pose questions in straightforward English and receive immediate visual responses. The platform also boasts automated tools for data cleansing and ingestion that efficiently manage messy or varied file types such as CSV, Excel, JSON, and Parquet, as well as cloud storage solutions like Google Drive, OneDrive, and Dropbox, allowing users to begin their analysis without any hold-up. A user-friendly drag-and-drop dashboard builder facilitates the rapid generation of shareable reports, while integrated support for various spreadsheets and business applications, including Excel, Smartsheet, QuickBooks, and Airtable, enhances functionality. Additionally, Querri provides white-label options, enabling users to integrate or customize the analytics engine within their own products, thus offering a tailored experience for their clients. This versatility makes Querri a powerful tool for businesses looking to leverage data effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker Data Wrangler
Apache DataFusion
Arroyo
Astera Dataprep
Autymate
Data Sentinel
Ficstar
Gable
IBM Db2 Event Store
MLJAR Studio
OrcaSheets
PI.EXCHANGE
PuppyGraph
Semarchy xDI
Sliq
Smartsheet
Tenzir
Timbr.ai
Timeplus
e6data

Integrations

Amazon SageMaker Data Wrangler
Apache DataFusion
Arroyo
Astera Dataprep
Autymate
Data Sentinel
Ficstar
Gable
IBM Db2 Event Store
MLJAR Studio
OrcaSheets
PI.EXCHANGE
PuppyGraph
Semarchy xDI
Sliq
Smartsheet
Tenzir
Timbr.ai
Timeplus
e6data

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$16 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

parquet.apache.org

Vendor Details

Company Name

Querri

Founded

2023

Country

United States

Website

querri.com

Product Features

Product Features

Alternatives

Alternatives

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