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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

IMAT represents an innovative breakthrough in medical data management and decision support technology, specifically designed to fulfill the urgent demand for rapid results from intricate searches within extensive databases. Our approach deviates from traditional relational frameworks and both early and late-binding methodologies, instead utilizing a distinctive architecture characterized by a flexible, pattern-based indexing system that achieves remarkable speed. This system is capable of integrating data from various incompatible sources while ensuring exceptional accuracy in data normalization and validation processes. Additionally, it features an intuitive dashboard and user interface that enables non-technical medical professionals to navigate with ease. The platform is optimized to use minimal CPU resources, offers rapid scalability, and remains considerably more affordable than comparable systems. Furthermore, IMAT encompasses modules dedicated to the processes of data intake, validation, normalization, indexing, and code mapping, thereby streamlining the entire workflow. With IMAT, healthcare providers can expect not only efficiency but also a transformative enhancement in their data handling capabilities.

Description

Redis Enterprise offers a robust real-time indexing, querying, and full-text search engine that is accessible both on-premises and as a cloud-managed service. This real-time search capability is optimized for rapid indexing and data ingestion, utilizing high-performance in-memory data structures developed in C. You can expand and partition indexes across multiple shards and nodes, enhancing both speed and memory capacity. With an impressive five-nines availability and Active-Active failover, uninterrupted operations are ensured in any circumstance. The real-time search feature of Redis Enterprise enables users to swiftly establish primary and secondary indexes on Hash and JSON datasets through an incremental indexing method, which facilitates quick index creation and removal. These indexes empower users to perform queries at remarkable speeds, execute complex aggregations, and filter data based on properties, numeric ranges, and geographical distances, thus enhancing overall data accessibility. By leveraging these capabilities, organizations can significantly improve their data management and retrieval processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Acontext
Archon Data Store
Camunda
Lygos
Redis

Integrations

Acontext
Archon Data Store
Camunda
Lygos
Redis

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

IMAT Solutions

Founded

2012

Country

United States

Website

imatsolutions.com/index.php/product/

Vendor Details

Company Name

Redis

Country

United States

Website

redis.com/modules/redis-search/

Product Features

Product Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Alternatives

Alternatives

Redis Reviews

Redis

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