NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools.
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Which is more popular?
Based on our record, Furmark
seems to be more popular. It has been mentioned
95 times
since March 2021.
social mentions
95 vs 0
Monitoring Tools popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Stress Testing FurMark is widely used for stress testing graphics cards, providing a valuable tool for determining GPU stability under heavy loads.
Thermal Benchmarking It helps users measure how their GPU cooler performs under extreme thermal conditions, which is essential for overclocking enthusiasts.
Diagnostic Tool FurMark can help diagnose issues by pinpointing weaknesses in graphic performance or stability, assisting in troubleshooting hardware problems.
Free to Use FurMark is available free of charge, making it accessible for both individual users and small tech support teams looking for reliable test software.
Possible disadvantages
Extreme Load The program places an unusually high strain on GPUs, potentially causing overheating or damage to less robust hardware components.
Power Consumption During testing, GPUs may draw significantly more power than typical usage, leading to increased electricity costs and resource use.
Not Realistic The workloads simulated by FurMark are not indicative of normal usage scenarios, which may limit its practical application for average users.
Potential Risk for Older Devices Older graphics cards may not be able to handle the intense stress FurMark places on them, risking hardware failure in some cases.
Lightweight C++ implementation cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
Redis-backed reliability Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
Inspired by proven design (asynq) The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
Native integration for C++ projects For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
Open source and inspectable Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.
Possible disadvantages
Limited maturity and battle-testing Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
Smaller community and ecosystem Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
Documentation gaps As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
C++ build and dependency complexity Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
Fewer built-in features and tooling cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.
Analysis
An editorial look at what each product does well and who it suits.
F
Furmarkcppq
No analysis of Furmark yet.
Overall verdict
cppq is a lightweight, Redis-backed distributed task queue for C++ inspired by Go's popular 'asynq' library. It's a good choice for developers who need a simple, dependency-light job queue system in C++ without the overhead of larger enterprise messaging systems, though it's a smaller, less battle-tested project compared to mature alternatives.
Why this product is good
Simple and lightweight design makes it easy to understand and integrate into existing C++ projects
Built on Redis, a well-established and reliable backend for queue storage, giving it a solid foundation
Inspired by asynq (a proven Go library), so the design patterns and task queue semantics are based on a well-thought-out model
Open source on GitHub, allowing developers to inspect, modify, and contribute to the code
Good fit for projects already using Redis, minimizing the need for additional infrastructure
Straightforward API for enqueueing and processing background jobs in C++ applications
Recommended for
C++ developers needing a background job/task queue without adopting a heavyweight message broker
Projects already using Redis as part of their infrastructure
Small to medium-sized applications requiring asynchronous task processing
Teams comfortable working with less mainstream or smaller open-source libraries and willing to contribute or debug issues themselves
Developers familiar with asynq (Go) looking for a similar pattern in C++
Prototyping or hobby projects where a minimal task queue solution is sufficient
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Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
F
Furmark95 mentionscppq0 mentions
Just bought a 7900xt, it's been... underwhelming. Am I doing something wrong?
My suspicion is that something, most likely your CPU, is overheating. Download FurMark, this is a stress test that fully loads your GPU but barely touches the CPU. Run that and compare your score with expected results for the 7900XT...
Source:
about 3 years ago
6600 xt is underperforming
Download and run this
Https://geeks3d.com/furmark/.
Source:
over 3 years ago
Shadows of Doubt. Patch 33.19.
Start with https://geeks3d.com/furmark and keep an eye on the temperature. If it reboots/BSODs try again. If it keeps happening, then that's probably just overheating and not memory issues, so limit your frames either in-game or in...
Source:
over 3 years ago