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Description

Experience practical learning in a dynamic AWS setting by utilizing AWS services and engaging with real-life cloud situations. Adhere to detailed instructions to familiarize yourself with a service, apply a use case, or gear up for AWS Certification. Participate in a lab to explore an AWS service in as little as 15 minutes. Learning paths guide you through a series of labs, enabling you to understand how to interact with interconnected AWS services. Upon finishing a quest, you will receive a Quest Badge that you can display on your resume, personal website, or LinkedIn profile. Whether you are just starting with AWS or looking to stay updated with the latest offerings, beginner labs provide an efficient way to grasp the basics. Explore these popular introductory labs to enhance your skills. Elevate your expertise by engaging in fundamental, advanced, and expert-level labs. Sign up for a quest—a curated collection of labs—and conquer a particular AWS scenario at your own speed, ensuring that you gain valuable knowledge along the way. Upon completion of the quest, you will earn a badge that can be showcased on your resume, personal website, or LinkedIn profile, further enhancing your professional credentials. This engaging approach allows learners of all levels to effectively build their understanding of AWS services.

Description

QuestDB is an advanced relational database that focuses on column-oriented storage optimized for time series and event-driven data. It incorporates SQL with additional features tailored for time-based analytics to facilitate real-time data processing. This documentation encompasses essential aspects of QuestDB, including initial setup instructions, comprehensive usage manuals, and reference materials for syntax, APIs, and configuration settings. Furthermore, it elaborates on the underlying architecture of QuestDB, outlining its methods for storing and querying data, while also highlighting unique functionalities and advantages offered by the platform. A key feature is the designated timestamp, which empowers time-focused queries and efficient data partitioning. Additionally, the symbol type enhances the efficiency of managing and retrieving frequently used strings. The storage model explains how QuestDB organizes records and partitions within its tables, and the use of indexes can significantly accelerate read access for specific columns. Moreover, partitions provide substantial performance improvements for both calculations and queries. With its SQL extensions, users can achieve high-performance time series analysis using a streamlined syntax that simplifies complex operations. Overall, QuestDB stands out as a powerful tool for handling time-oriented data effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Kafka
AtomicJar
Azure Marketplace
DataClarity Unlimited Analytics
DbVisualizer
Docker
Grafana Cloud
Metabase
PostgreSQL
Stackreaction
Tableau
Telegraf
n8n

Integrations

Apache Kafka
AtomicJar
Azure Marketplace
DataClarity Unlimited Analytics
DbVisualizer
Docker
Grafana Cloud
Metabase
PostgreSQL
Stackreaction
Tableau
Telegraf
n8n

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

Amazon Web Services

Founded

2006

Country

United States

Website

aws.amazon.com/training/self-paced-labs/

Vendor Details

Company Name

QuestDB

Country

United Kingdom

Website

questdb.io

Product Features

Alternatives

Alternatives

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