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Description
Med-Quest's innovative method of data collection offers substantial time savings for you and your team. By enabling the extraction of data straight from medical devices, the time you save can be quantified in days and hours rather than merely in minutes and seconds. With Med-Quest, you won't be hindered by unnecessary features or inundated with excessive information. The aim of Med-Quest is to ensure a user experience that remains straightforward and focused. By eliminating unused tools, you can dedicate your attention to your essential tasks. Med-Quest is ideally suited for projects of any scale, whether local or international, providing comprehensive support. With the ability to access your data from virtually anywhere, you can utilize it effectively no matter your location. Securely obtain your data online at any research facility or from the comfort of your home. Ease the burden on both your team and participants by allowing them to input data directly from a tablet on their couch or a smartphone while on the move, ultimately transforming the data collection process into a more efficient experience. This flexibility not only enhances productivity but also improves engagement from participants.
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
Integrations
Apache Kafka
AtomicJar
Azure Marketplace
DataClarity Unlimited Analytics
DbVisualizer
Docker
Grafana Cloud
Metabase
PostgreSQL
Stackreaction
Integrations
Apache Kafka
AtomicJar
Azure Marketplace
DataClarity Unlimited Analytics
DbVisualizer
Docker
Grafana Cloud
Metabase
PostgreSQL
Stackreaction
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
Med-Quest
Founded
2001
Country
United States
Website
www.med-quest.org
Vendor Details
Company Name
QuestDB
Country
United Kingdom
Website
questdb.io
Product Features
Electronic Data Capture
Audit Trail
CRF Tracking
Data Entry
Data Verification
Distributed Capture
Document Imaging
Document Indexing
Forms Management
Remote Capture
Study Management