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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Data schemas define the structure and content of various types of information, such as blood glucose levels, influencing how software applications manage that information. Often, systems must accommodate data from multiple devices or platforms, each presenting information in its own unique way. When all data related to a specific metric, like blood glucose, adheres to a unified schema, it becomes significantly easier to analyze and interpret that information, regardless of its original source. A standardized schema acts as a consistent point of reference for documentation, facilitating the use of data points across different contexts. In the realm of healthcare, the importance of common data schemas is magnified due to the intricate nature and significance of health-related information. For instance, recognizing the difference between fasting and non-fasting blood glucose levels is crucial for accurate clinical interpretation and decision-making. This shared understanding ensures that healthcare professionals can communicate effectively and make informed decisions based on reliable data.

Description

Leverage Reactive Programming on the back-end without the hassle of using specialized languages or complex frameworks. With the help of Triggers, Actors, and Event Collections, it becomes straightforward to create data pipelines and manage data streams through an intuitive SQL-like syntax, effectively simplifying the challenges associated with distributed system development. A standout aspect is the Extensible Data Modeling feature, which enables rich semantics and schema definitions to accurately represent real-world entities. The implementation of on-the-fly validation and data shaping rules accommodates various formats, including XML and JSON, making it effortless to articulate and adapt your schema in line with evolving business needs. If you can articulate it, we have the capability to query it. If you're familiar with SQL and JavaScript, you're already equipped to navigate the data engine. No matter the format, a robust query language allows for immediate testing of logic expressions and functions, which accelerates development and streamlines deployment, resulting in exceptional data agility and responsiveness to changing circumstances. This adaptability not only enhances productivity but also fosters innovation within teams.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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 No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Open mHealth

Country

United States

Website

www.openmhealth.org

Vendor Details

Company Name

StreamScape

Founded

2011

Country

United States

Website

www.streamscape.com/product/features

Product Features

Product Features

Data Fabric

Data Access Management No 
Data Analytics No 
Data Collaboration No 
Data Lineage Tools No 
Data Networking / Connecting No 
Metadata Functionality No 
No Data Redundancy No 
Persistent Data Management No 

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