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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

Handling and storing tabular data, such as that found in CSV or Parquet formats, is essential for data management. Transferring large result sets to clients is a common requirement, especially in extensive client/server frameworks designed for centralized enterprise data warehousing. Additionally, writing to a single database from various simultaneous processes poses its own set of challenges. DuckDB serves as a relational database management system (RDBMS), which is a specialized system for overseeing data organized into relations. In this context, a relation refers to a table, characterized by a named collection of rows. Each row within a table maintains a consistent structure of named columns, with each column designated to hold a specific data type. Furthermore, tables are organized within schemas, and a complete database comprises a collection of these schemas, providing structured access to the stored data. This organization not only enhances data integrity but also facilitates efficient querying and reporting across diverse datasets.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Flyte Yes 
PuppyGraph Yes 
QStudio Yes 
Streamkap Yes 
Tad Yes 
Arroyo Yes 
CSViewer Yes 
Data Sentinel Yes 
Databricks No 
DbGate No 
IBM Db2 Event Store Yes 
Mage Sensitive Data Discovery Yes 
Meltano Yes 
SkySQL No 
Supaboard No 
Tenzir Yes 
Tictable Yes 
Tonic Ephemeral Yes 
Union Cloud No 
VisuaLeaf No 

Integrations

Flyte Yes 
PuppyGraph Yes 
QStudio Yes 
Streamkap Yes 
Tad Yes 
Arroyo No 
CSViewer No 
Data Sentinel No 
Databricks Yes 
DbGate Yes 
IBM Db2 Event Store No 
Mage Sensitive Data Discovery No 
Meltano No 
SkySQL Yes 
Supaboard Yes 
Tenzir No 
Tictable No 
Tonic Ephemeral No 
Union Cloud Yes 
VisuaLeaf Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
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) Yes 
In Person No 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

parquet.apache.org

Vendor Details

Company Name

DuckDB

Website

duckdb.org

Product Features

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

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