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features
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support

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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

Pivot Desktop serves as a Windows-based workspace tailored for analysts, researchers, and students, enabling them to prepare, explore, visualize, and model tabular data efficiently. Users can create workflows that are both editable and repeatable by visually arranging steps for data cleaning, transformation, statistical analysis, charting, and machine learning, which can then be saved or exported as needed. The application supports various file formats such as CSV, Excel, Parquet, and JSON, and it can connect to databases including PostgreSQL, MySQL, SQL Server, and SQLite. With an array of interactive charts and statistical tests, users can conduct regression analyses and utilize other modeling techniques, enhanced by a local AI assistant that interprets natural-language queries into actionable pipeline components. All data processing and AI functions occur locally on the user's device, ensuring privacy and control over the data. Moreover, users have the option to utilize a Model Context Protocol server, which facilitates the programmatic creation of workflows by external agents, thus expanding the tool's versatility.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

APERIO DataWise Yes 
Amazon Data Firehose Yes 
Amazon SageMaker Data Wrangler Yes 
Autymate Yes 
Data Sentinel Yes 
Gable Yes 
Gravity Data Yes 
Hadoop Yes 
IBM Db2 Event Store Yes 
LangGraph No 
Mage Platform Yes 
Mage Sensitive Data Discovery Yes 
Meltano Yes 
Model Context Protocol (MCP) No 
OpenObserve Yes 
QStudio Yes 
SQLite No 
Semarchy xDI Yes 
Tenzir Yes 
Timeplus Yes 

Integrations

APERIO DataWise No 
Amazon Data Firehose No 
Amazon SageMaker Data Wrangler No 
Autymate No 
Data Sentinel No 
Gable No 
Gravity Data No 
Hadoop No 
IBM Db2 Event Store No 
LangGraph Yes 
Mage Platform No 
Mage Sensitive Data Discovery No 
Meltano No 
Model Context Protocol (MCP) Yes 
OpenObserve No 
QStudio No 
SQLite Yes 
Semarchy xDI No 
Tenzir No 
Timeplus No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Individual: $212.50 per year. Student: $100 per year for students and researchers with a university email; instructors receive free classroom licenses. Team: $57 per user per month, billed yearly, with a three-seat minimum. Enterprise pricing is custom. The free trial provides three months of full access with no credit card or sign-up required and no automatic charge when it ends. A paid plan is required to continue using Pivot.
Free Trial Yes 
Free Version No 

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 Yes 
Mac No 
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

Pivot Inc.

Founded

2026

Country

India

Website

pivotdesktop.online/

Product Features

Product Features

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

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