Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
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
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