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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.
Description
SDF serves as a robust platform for developers focused on data, improving SQL understanding across various organizations and empowering data teams to maximize their data's capabilities. It features a transformative layer that simplifies the processes of writing and managing queries, along with an analytical database engine that enables local execution and an accelerator that enhances transformation tasks. Additionally, SDF includes proactive measures for quality and governance, such as comprehensive reports, contracts, and impact analysis tools, to maintain data integrity and ensure compliance with regulations. By encapsulating business logic in code, SDF aids in the classification and management of different data types, thereby improving the clarity and sustainability of data models. Furthermore, it integrates effortlessly into pre-existing data workflows, accommodating multiple SQL dialects and cloud environments, and is built to scale alongside the evolving demands of data teams. The platform's open-core architecture, constructed on Apache DataFusion, not only promotes customization and extensibility but also encourages a collaborative environment for data development, making it an invaluable resource for organizations aiming to enhance their data strategies. Consequently, SDF plays a pivotal role in fostering innovation and efficiency within data management processes.
API Access
Has API
API Access
Has API
Integrations
Amazon Redshift
AWS Glue
AWS IoT
Amazon DynamoDB
Amazon Quantum Ledger Database (QLDB)
Amazon S3
Apache Airflow
Apache DataFusion
Apache Parquet
Dagster
Integrations
Amazon Redshift
AWS Glue
AWS IoT
Amazon DynamoDB
Amazon Quantum Ledger Database (QLDB)
Amazon S3
Apache Airflow
Apache DataFusion
Apache Parquet
Dagster
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
PartiQL
Website
partiql.org
Vendor Details
Company Name
SDF
Country
United States
Website
www.sdf.com
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
