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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

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Airstack Yes 
Ansible Yes 
Chef Yes 
Cisco AnyConnect Yes 
Huawei FusionStorage Yes 
IBM Cloud Yes 
Intelligent Management Center Yes 
PostgreSQL Yes 
Puppet Enterprise Yes 
SALT Yes 
SQLite Yes 
VMware ESXi Yes 
Verizon Cloud Yes 

Integrations

Airstack No 
Ansible No 
Chef No 
Cisco AnyConnect No 
Huawei FusionStorage No 
IBM Cloud No 
Intelligent Management Center No 
PostgreSQL No 
Puppet Enterprise No 
SALT No 
SQLite No 
VMware ESXi No 
Verizon Cloud No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$500/year/user
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

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 No 
Data Failure Recovery No 
Multi-Platform No 
Referential Integrity No 
SQL DDL Support No 
SQL DML Support No 
System Catalog No 
Unicode Support No 

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