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Description
Dqlite is a high-speed, embedded SQL database that offers persistent storage and utilizes Raft consensus, making it an ideal choice for resilient IoT and Edge devices. Known as "distributed SQLite," Dqlite expands SQLite's capabilities across multiple machines, ensuring automatic failover and high availability to maintain application uptime. It employs C-Raft, an optimized implementation of Raft in C, which provides exceptional performance in transactional consensus and fault tolerance while maintaining SQLite’s renowned efficiency and compact size. C-Raft is specifically designed to reduce transaction latency, enabling faster operations. Both C-Raft and Dqlite are implemented in C, ensuring they are portable across various platforms. Released under the LGPLv3 license with a static linking exception, it guarantees broad compatibility. The system features a standard CLI pattern for initializing databases and managing the joining or leaving of voting members. It also incorporates minimal, configurable delays for failover alongside automatic leader election processes. Additionally, Dqlite supports a disk-backed database option with in-memory capabilities and adheres to SQLite's transaction protocols. The blend of these features makes Dqlite a powerful solution for modern data storage needs.
Description
GEMSai is an advanced geotechnical engineering and foundation analysis software platform that combines finite element modeling with AI-powered workflows to improve foundation design, analysis, and engineering efficiency. The platform is designed to support geotechnical engineers working on shallow foundations, pile foundations, raft foundations, pile groups, and offshore foundation systems for land-based, bridge, and marine infrastructure projects. GEMSai offers specialized analysis modules that support discrete spring-bed models, elastic half-space models, multilayered soil conditions, pile settlement calculations, and pile capacity estimation workflows for complex engineering applications. The software integrates AI-assisted capabilities with modern finite element modeling techniques to help engineers perform faster, more intuitive, and more accurate geotechnical analysis across a wide range of foundation structures. GEMSai is available on Windows, macOS, and cloud-based environments, allowing engineering teams to deploy the platform flexibly based on project needs and operational preferences. The platform also supports offshore pile analysis, axially loaded pile calculations, laterally loaded pile analysis, and waterfront structure foundation modeling for specialized infrastructure applications. GEMSai is built to streamline the traditionally complex process of geotechnical engineering by improving usability, reducing analysis time, and delivering more reliable modeling results for engineering projects. The company offers free trials and subscription-based licensing options to make the software accessible for engineering firms and professionals seeking advanced geotechnical analysis tools.
API Access
Has API
API Access
Has API
Integrations
Airstack
Ansible
BioRAFT
Chef
Cisco AnyConnect
Huawei FusionStorage
IBM Cloud
Intelligent Management Center
PostgreSQL
Puppet Enterprise
Integrations
Airstack
Ansible
BioRAFT
Chef
Cisco AnyConnect
Huawei FusionStorage
IBM Cloud
Intelligent Management Center
PostgreSQL
Puppet Enterprise
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$500/year/user
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
Canonical
Founded
2010
Country
United Kingdom
Website
dqlite.io
Vendor Details
Company Name
GEMSai
Founded
2019
Country
India
Website
www.gemsoftware.ai/
Product Features
Relational Database
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support