Apache Parquet

Apache Parquet

The Apache Software Foundation
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About

We created Parquet to make the advantages of compressed, efficient columnar data representation available to any project in the Hadoop ecosystem. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. We believe this approach is superior to simple flattening of nested namespaces. Parquet is built to support very efficient compression and encoding schemes. Multiple projects have demonstrated the performance impact of applying the right compression and encoding scheme to the data. Parquet allows compression schemes to be specified on a per-column level, and is future-proofed to allow adding more encodings as they are invented and implemented. Parquet is built to be used by anyone. The Hadoop ecosystem is rich with data processing frameworks, and we are not interested in playing favorites.

About

RowCove is a native desktop application for inspecting and editing large local data files on Windows and Apple Silicon Macs. It opens structured formats including CSV, TSV, JSON, JSONL/NDJSON, Parquet, Arrow IPC and Feather, and provides table and nested-value views for reviewing records. Users can filter and sort files, inspect partition and source context in supported shards, and stage supported changes before saving a separate copy. The application is designed for data engineers, AI dataset practitioners, quantitative researchers and analysts who need to examine exports or research data without first converting them to another format. RowCove also provides authorized local Model Context Protocol (MCP) tools for compatible AI clients, including schema access, test calls, wire logs and history. Processing is performed locally; available features and performance depend on file format and system hardware.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Individuals requiring a columnar storage solution available to any project in the Hadoop ecosystem

Audience

Data engineers, AI training-data practitioners, quantitative researchers and analysts who need fast local inspection, supported editing and repeatable checks on large CSV, JSONL, Parquet and Arrow datasets.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$5/month
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

The Apache Software Foundation
Founded: 1999
United States
parquet.apache.org

Company Information

RowCove
rowcove.com

Alternatives

Apache Iceberg

Apache Iceberg

Apache Software Foundation

Alternatives

CSViewer

CSViewer

EasyMorph
CSV Editor

CSV Editor

Martin Sommer
Apache HBase

Apache HBase

The Apache Software Foundation
Rons Data Stream

Rons Data Stream

Rons Place Software

Categories

Columnar Databases Supported

Categories

CSV Editors Supported

Integrations

3LC Supported
Amazon Data Firehose Supported
Apache DataFusion Supported
Astera Dataprep Supported
Flyte Supported
Mage Sensitive Data Discovery Supported
Meltano Supported
Model Context Protocol (MCP) Not Supported
OrcaSheets Supported
PI.EXCHANGE Supported
PuppyGraph Supported
QStudio Supported
QuerySurge Supported
SAS Studio Supported
Semarchy xDI Supported
Streamkap Supported
Tad Supported
Timbr.ai Supported
Visplore Supported
e6data Supported

Integrations

3LC Not Supported
Amazon Data Firehose Not Supported
Apache DataFusion Not Supported
Astera Dataprep Not Supported
Flyte Not Supported
Mage Sensitive Data Discovery Not Supported
Meltano Not Supported
Model Context Protocol (MCP) Supported
OrcaSheets Not Supported
PI.EXCHANGE Not Supported
PuppyGraph Not Supported
QStudio Not Supported
QuerySurge Not Supported
SAS Studio Not Supported
Semarchy xDI Not Supported
Streamkap Not Supported
Tad Not Supported
Timbr.ai Not Supported
Visplore Not Supported
e6data Not Supported
Claim Apache Parquet and update features and information
Claim Apache Parquet and update features and information
Claim RowCove and update features and information
Claim RowCove and update features and information