Apache ParquetThe Apache Software Foundation
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Related Products
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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.
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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.
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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
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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
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Audience
Individuals requiring a columnar storage solution available to any project in the Hadoop ecosystem
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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.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$5/month
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationThe Apache Software Foundation
Founded: 1999
United States
parquet.apache.org
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Company InformationRowCove
rowcove.com
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Alternatives |
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Categories |
Categories |
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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
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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
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