Datto protects essential business data for tens of thousands of the world's fastest growing companies, delivering uninterrupted access to data on site, in transit, and in the cloud.
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, Datto
seems to be more popular. It has been mentioned
5 times
since March 2021.
social mentions
5 vs 0
Project Management popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Comprehensive Backup Solutions Datto offers a range of backup solutions for data protection, including cloud backup, disaster recovery, and data restoration. It ensures business continuity and minimizes data loss during unexpected events.
Ransomware Protection Datto provides ransomware protection, including detection and rapid recovery options, which help businesses to safeguard against ransomware attacks.
Reliable Technical Support Datto is known for its responsive and knowledgeable technical support team, offering assistance 24/7 to address any issues or questions.
Scalability Datto’s solutions can scale to meet the needs of businesses of all sizes, from small businesses to large enterprises. This flexibility allows companies to grow without changing their backup and recovery solutions.
Automated Backup Scheduling Datto provides options for automated backup scheduling, which reduces the risk of human error and ensures that backups are performed consistently and reliably.
Possible disadvantages
Cost Datto's services can be expensive, especially for small businesses or startups with limited budgets. The pricing may not be accessible to all companies.
Complexity The setup and management of Datto’s systems can be complex and may require specialized knowledge or training, which could be a challenge for businesses lacking IT resources.
Vendor Lock-In Using Datto's proprietary solutions might lead to a level of vendor lock-in, which can make it difficult to switch to other providers or integrate with different systems.
Resource Intensive Datto’s advanced backup and recovery solutions can be resource-intensive, potentially demanding significant bandwidth and storage, which could impact network performance.
Dependency on Internet Connectivity For cloud-based backup solutions, dependable and high-speed internet connectivity is essential. Any issues with internet connectivity can hinder the backup and recovery processes.
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.
Dattocppq
No analysis of Datto 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
Datto SIRIS is an all-in-one business continuity and disaster recovery solution used to assist Managed Service Providers (MSPs) to recover from a disaster, prevent data loss, minimize downtime, and continue or resume...
3. Autotask: Widely considered one of the top-two PSA providers to MSPs and IT service providers (the other is ConnectWise). Owned by a private equity firm, Autotask spent recent years localizing its cloud software...
Recommendations tracked on public social media and blogs since March 2021.
Datto5 mentionscppq0 mentions
A little Kaseya silliness...
Yes, I understand what is happening. The "issue" is that the email appears to have been written more for IT Glue people -- and then someone edited the top portion a bit to be more Datto-specific without really cleaning up the rest of...
Source:
almost 4 years ago
A little Kaseya silliness...
Indeed. And see my edit -- I actually just got an updated email with the same subject that came from datto.com and was really about Datto stuff instead of IT Glue stuff! :).
Source:
almost 4 years ago
Cancelling my Datto Services After Kaseya took over: My Story
As I'm getting my stuff ready to present to my attorney, I get an email from [postmaster@kaseya.onmicrosoft.com](mailto:postmaster@kaseya.onmicrosoft.com) that my email bounced due to security or policy settings at datto.com. What...
Source:
over 4 years ago
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