Software Alternatives & Startups

cppq VS Lunr EDMS

Compare cppq VS Lunr EDMS and see what are their differences

cppq

Simple, reliable & efficient distributed task queue for C++

Rating
0 reviews
Lunr EDMS

Cloud engineering document control and common data environment for owners of long lived assets. Every drawing under revision control, OCR search inside scanned sheets, and DWG, BIM, and point cloud viewing in the browser without a CAD licence.

Rating
0 reviews
Pricing
Paid AU$20,000 / Annually (Lunr Core, single site licence)

Base details

Website, pricing, platforms and company facts side by side.

cppq
Lunr EDMS
Website github.com lunr.app
Pricing —
Paid AU$20,000 / Annually (Lunr Core, single site licence) Official pricing
Platforms —
Web iOS Android Mac Windows +2
Company — Startup from Australia
Listed in —

About cppq and Lunr EDMS

In their own words, as submitted to SaaSHub.

cppq
Lunr EDMS

No description of cppq yet.

Lunr is an engineering document management system and common data environment for organisations that own long lived physical assets. Universities, utilities, water authorities, mines, ports, and government departments use it as the single register for every drawing, model, and manual they hold....

Read more about Lunr EDMS

Features and specs

What each product offers, as listed by its team.

cppq 5 features
Lunr EDMS 3 features
  • 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.
  • Revision control
    Controlled documents with approvals, revision history, automated numbering, and a full audit log
  • XRAY full text search
    OCR and AI across every stored file, including scanned archives, so text inside a drawing is searchable
  • Browser viewers
    DWG, DGN, RVT, PDF, Office, images, BIM models, and point clouds with markup and measurement, no CAD licence

Analysis

An editorial look at what each product does well and who it suits.

cppq
Lunr EDMS

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

No analysis of Lunr EDMS yet.

Questions & Answers

As answered by people managing cppq and Lunr EDMS.

What makes your product unique?

Lunr EDMS's answer:

Most document systems read the filename. Lunr reads the drawing.

XRAY runs OCR and AI across everything stored, scanned archives included, so an isolation valve tag inside a 1994 scan turns up as fast as a file saved this morning. Deep XRAY re-reads dense sheets in high resolution tiles, from 2x2 up to 4x4, when the text is faint or crowded.

The second difference is lifespan. Most tools in this space are built around a project and are switched off at practical completion. Lunr is built for the owner, so one system carries the record from project delivery through the decades the asset is actually operated.

Why should a person choose your product over its competitors?

Lunr EDMS's answer:

Three reasons, depending on what you are replacing.

If you are replacing a network drive or SharePoint, you get actual document control: approvals, revision history, automated document and version numbering, and a full audit log on every controlled document, rather than a folder you have to police.

If you are replacing a legacy EDMS, you get a system your own team can run. Changing a workflow does not require a consultant, and keeping it running does not require a specialist.

If you are comparing against project tools, the difference is the timeframe. Those are built to be switched off at handover. Lunr keeps the record for the decades you operate the asset, and checks the handover against the transmittal manifest so the as constructed set that never arrived is caught at acceptance rather than years later in an audit.

Across all three, drawings open in a browser with markup and measurement and no CAD licence, so the people who only need to look are not a licensing cost.

How would you describe the primary audience of your product?

Lunr EDMS's answer:

Asset owners rather than builders. Organisations that hold tens of thousands of drawings across decades of buildings, plant, and infrastructure, and that will still own them in twenty years.

In practice that means universities, utilities and water authorities, mines and metals operations, ports and infrastructure, energy, life sciences, and government departments, mostly in Australia and New Zealand, with hosting also available in the United States.

Inside those organisations the day to day users are document controllers, engineering and asset managers, facilities and campus estate teams, and the contractors and consultants they bring onto projects as external collaborators.

Who are some of the biggest customers of your product?

Lunr EDMS's answer:

  • University of Canberra

User comments

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