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RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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StrongDMThe landscape of access and access management has evolved into a more intricate and often frustrating challenge. strongDM reimagines access by focusing on the individuals who require it, resulting in a solution that is not only user-friendly but also maintains rigorous security and compliance standards. This innovative approach is referred to as People-First Access. Users benefit from quick, straightforward, and traceable access to essential resources, while administrators enjoy enhanced control that reduces the risk of unauthorized and excessive permissions. Additionally, teams in IT, Security, DevOps, and Compliance can effortlessly track activities with detailed audit logs answering critical questions about actions taken, locations, and timings. The system integrates seamlessly and securely across various environments and protocols, complemented by reliable 24/7 customer support to ensure optimal functionality. This comprehensive approach guarantees both efficiency and security in managing access.
What is Instance Resolve?
Descriptive analytics focuses on organizing and analyzing historical data to reveal trends that can be documented. Conversely, predictive analytics aims to discover relationships within the data that may not be readily apparent using descriptive techniques. This approach greatly accelerates the ability to deliver critical insights for security and compliance evaluations. Furthermore, the use of automated database health checks can monitor performance consistently over time, enabling thorough investigations that pinpoint potential underlying problems. By adopting this holistic strategy, organizations can significantly improve their operational efficiency while also strengthening the management of data integrity. Ultimately, a robust analytics framework ensures that decision-makers have access to reliable insights for better strategic planning.
What is FutureFlow Rx?
Assess strategies for reopening to ensure that optimal staffing levels, personal protective equipment, and essential resources are effectively implemented. Project patient volumes for each hospital or department within a flexible timeline. Diligently track and forecast bed availability. Prepare for potential holds in the emergency department and post-anesthesia care unit over various durations. Gather real-time data to accurately predict capacity for each department and service area. Minimize the instances of canceled surgeries by issuing timely alerts regarding significant increases in patient numbers. Efficiently analyze and forecast off-service placements. Effectively predict and manage patient discharges to optimize flow. The core type of analytics is designed to condense vast amounts of data into manageable and actionable insights. While descriptive analytics provides a summary of historical events, diagnostic analytics digs deeper to reveal the underlying causes of those events. Traditional management engineering techniques are typically adequate for this level of analysis, but the use of predictive analytics introduces a more sophisticated method that empowers organizations to proactively tackle future issues. This evolution from descriptive to diagnostic and ultimately predictive analytics allows healthcare organizations to significantly boost their operational effectiveness and enhance patient care results. By embracing these analytical approaches, facilities can adapt more swiftly to changing circumstances and ensure a higher standard of care.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Famteck
Date Founded
2005
Company Location
United States
Company Website
www.famteck.com
Company Facts
Organization Name
FutureFlowRx
Company Location
United States
Company Website
futureflowrx.com
Categories and Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting
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
Categories and Features
Patient Management
Admissions Management
Bed Management
Discharge Management
Historical Reporting
Patient Flow Management
Patient Location Tracking
Patient Monitoring
Real Time Reporting
Waiting Time Tracking
