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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
Anyone can get an AI agent to turn tests green on a toy problem. kodwai measures the part that is harder to fake: how well you direct it. Developers pick a real engineering challenge (a CRDT text buffer, an event-sourced ledger, a zero-downtime migration), pull it down with npx @kodwai/cli@latest challenge <slug>, and solve it locally with Claude Code, Cursor or Codex. No browser sandbox. When they run npx @kodwai/cli@latest submit, kodwai reads the session (prompts, commits, test runs) and returns a 0 to 100 score across three axes: Direction (how you steer, verify and decompose), Outcome (what shipped, replayed and stress-tested) and Lift (how far you beat a solo AI). Each signal cites its evidence, and the score comes with a confidence interval instead of false precision. Developers get 3 free scored submissions, then connect their own Anthropic key for unlimited runs. Teams can use the hiring track to run private real-world interviews.
API Access
Has API
No
API Access
Has API
No
Integrations
Airstack
Yes
Ansible
Yes
Chef
Yes
Cisco AnyConnect
Yes
Claude
No
Codex CLI
No
Cursor
No
Git
No
Huawei FusionStorage
Yes
IBM Cloud
Yes
Integrations
Airstack
No
Ansible
No
Chef
No
Cisco AnyConnect
No
Claude
Yes
Codex CLI
Yes
Cursor
Yes
Git
Yes
Huawei FusionStorage
No
IBM Cloud
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free for developers: 3 scored submissions on kodwai's key, then connect your own Anthropic API key for unlimited submissions. The challenges, score, public profile and leaderboard are free. Hiring track for teams: contact us for pricing.
Free Trial
No
Free Version
Yes
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
Yes
Chromebook
No
Customer Support
Business Hours
Yes
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Canonical
Founded
2010
Country
United Kingdom
Website
dqlite.io
Vendor Details
Company Name
kodwai
Country
Istanbul, Turkey
Website
www.kodwai.com
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
Product Features
Coding Challenge
Kodwai is an innovative platform designed for hands-on coding challenges that emphasize agency in coding. The challenges presented are practical, bite-sized tasks—ranging from creating a bookshelf REST API to implementing a simplified version of the Raft consensus algorithm—and each task incorporates subtle pitfalls that a simple prompt might overlook. Participants tackle these challenges locally using their own AI coding agents, and the scoring system evaluates not only the success of the tests but also how effectively the user guided their agent. Scores are based on three criteria: Direction, Outcome, and Lift, with a scale from 0 to 100 and detailed evidence for each metric. The platform features a public leaderboard, a dynamic Direction rating that updates with each scored attempt, and weekly competitions to foster a sense of community.
