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ease
features
design
support

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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.

Description

PartiQL extends SQL in a manner that is straightforward, allowing nested data to be treated as integral components and enabling a smooth integration with SQL itself. This capability facilitates intuitive operations such as filtering, joining, and aggregating various types of data, including structured, semistructured, and nested datasets. By decoupling the syntax and semantics of queries from the actual data format or storage system, PartiQL provides a cohesive querying experience across diverse data stores and formats. It empowers users to engage with data irrespective of the presence of a standard schema. Additionally, the components of PartiQL—including its syntax, semantics, embedded reference interpreter, command-line interface, testing framework, and associated tests—are distributed under the Apache License, version 2.0. This licensing grants users the freedom to use, modify, and share their contributions while adhering to their preferred terms. Thus, the overall design of PartiQL enhances accessibility and flexibility in data management across various platforms.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS IoT
Amazon DynamoDB
Amazon Quantum Ledger Database (QLDB)
AnalyticsCreator
Databricks Data Intelligence Platform
DbVisualizer
GetDot.ai
Kestra
MotherDuck
Observable
PuppyGraph
QStudio
Quary
SQLAI.ai
SkySQL
Streamkap
Supaboard
Tad
Unity Catalog
Vanna.AI

Integrations

AWS IoT
Amazon DynamoDB
Amazon Quantum Ledger Database (QLDB)
AnalyticsCreator
Databricks Data Intelligence Platform
DbVisualizer
GetDot.ai
Kestra
MotherDuck
Observable
PuppyGraph
QStudio
Quary
SQLAI.ai
SkySQL
Streamkap
Supaboard
Tad
Unity Catalog
Vanna.AI

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DuckDB

Website

duckdb.org

Vendor Details

Company Name

PartiQL

Website

partiql.org

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Alternatives

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Apache Drill

The Apache Software Foundation

Alternatives

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Apache DataFusion

Apache Software Foundation
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Apache DataFusion

Apache Software Foundation
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Apache Iceberg

Apache Software Foundation