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What is RowCove?

RowCove is a desktop application designed for both Windows and Apple Silicon Macs, enabling users to examine and alter large local data files effortlessly. It accommodates a range of structured formats including CSV, TSV, JSON, JSONL/NDJSON, Parquet, Arrow IPC, and Feather, providing users with the ability to view data in both table and nested-value formats for comprehensive analysis. Users can filter and sort their files, as well as inspect partition and source information within supported shards, while also staging modifications before saving them as a separate copy. The application is specifically crafted for data engineers, AI dataset specialists, and quantitative researchers and analysts who need to work with exports or research data without the hassle of conversion to different formats. Furthermore, RowCove offers authorized local Model Context Protocol (MCP) tools for compatible AI clients, which include schema access, test calls, wire logs, and historical tracking capabilities. All operations are conducted locally, and the application's performance and features are contingent upon the specific file format and the hardware specifications of the user’s system. With its user-friendly interface and robust functionalities, RowCove emerges as an indispensable asset for efficient data manipulation and analysis directly from a desktop environment, making it a favored choice among professionals in the field.

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.

Media

Media

Integrations Supported

APERIO DataWise
Amazon SageMaker Data Wrangler
Apache DataFusion
Astera Dataprep
Data Sentinel
Flyte
Gravity Data
GribStream
Hadoop
IBM Db2 Event Store
Meltano
OrcaSheets
QStudio
Querri
QuerySurge
SDF
SSIS Integration Toolkit
Streamkap
Tonic Ephemeral
Visplore

API Availability

Has API

API Availability

Pricing Information

$5/month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

RowCove

Company Website

rowcove.com

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

parquet.apache.org

Categories and Features

CSV Editors

Not specified

Categories and Features

Columnar Databases

Not specified

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