Software Alternatives & Startups

emqtt VS ViewForge

Compare emqtt VS ViewForge and see what are their differences

emqtt

emqtt - erlang mqtt broker

Rating
0 reviews
ViewForge

Year/Make/Model fitment search for Shopify. 8 verticals, Smart Parse, and your data in Shopify metaobjects — not a vendor database. Free tier, Pro at $49.

Rating
0 reviews
Pricing
Freemium Free trial $19 / Monthly ($19/month Starter 1,000 products, custom templates, CSV import)
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, emqtt seems to be more popular. It has been mentioned 6 times since March 2021.

social mentions
6 vs 0
IoT Connectivity popularity
100% vs 0%

Base details

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

emqtt
ViewForge
Website github.com normalview.pro
Pricing —
Freemium Free trial $19 / Monthly ($19/month Starter 1,000 products, custom templates, CSV import) Official pricing
Platforms —
Shopify
Company — Startup from the United States · 1 - 9 employees · 2026
Listed in

About emqtt and ViewForge

In their own words, as submitted to SaaSHub.

emqtt
ViewForge

No description of emqtt yet.

ViewForge is a Year Make Model (YMM) parts finder for Shopify. Shoppers pick their vehicle, machine or device from cascading dropdowns and see only the parts that fit. Fitment search works across eight verticals — auto, motorcycle, tractor, marine, power equipment, bicycle, printer and...

Read more about ViewForge

Features and specs

What each product offers, as listed by its team.

emqtt 8 features
ViewForge 9 features
  • High Performance
    eMQTT is designed for high performance and can handle millions of connections concurrently. It's optimized for both latency and throughput, making it ideal for large-scale IoT applications.
  • Scalability
    eMQTT can scale horizontally by adding more nodes to the cluster. This makes it easy to adjust the system according to the growing number of devices and data throughput requirements.
  • Extensibility
    eMQTT supports various plugins and extensions that can be used to add additional functionalities or integrate with other systems.
  • Rich Feature Set
    It offers features like TLS/SSL encryption, authentication, authorization, message logging, and various MQTT protocol extensions, providing a comprehensive solution for messaging needs.
  • Open Source
    As an open-source project, eMQTT allows for greater transparency, customizability, and community support. Developers can adapt the code to better fit their specific requirements.
  • Cross-Platform Support
    It supports multiple operating systems including Linux, Mac OS, and Windows, thus offering flexibility in diverse deployment environments.
  • Multiple Protocols
    In addition to MQTT, eMQTT supports other protocols such as MQTT-SN, CoAP, and WebSocket, making it versatile for various IoT scenarios.
  • Good Documentation
    eMQTT comes with extensive documentation that helps developers understand its features and how to implement them effectively.

Possible disadvantages

  • Complexity
    Due to its rich feature set and extensibility, eMQTT can be complex to configure and manage, especially for users who are new to MQTT brokers.
  • Resource Intensive
    Being designed for high performance and scalability, eMQTT can be resource-intensive, requiring substantial CPU and memory, which might not be suitable for resource-constrained environments.
  • Learning Curve
    The myriad features and configurations can present a steep learning curve for new users or those not familiar with MQTT or distributed systems.
  • Community and Support
    While it has a growing community, it might not have as extensive support or as large a user base as some other established MQTT brokers, potentially resulting in slower resolutions for community-driven support.
  • Licensing Costs
    While eMQTT is open-source, some advanced features and extended support might require a commercial license, which could be a drawback for smaller organizations with limited budgets.
  • Maintenance
    Managing and maintaining a scalable eMQTT cluster might require specialized skills and ongoing effort, which can increase the overall operational costs.
  • Fitment Information
    Cascading Year/Make/Model fitment search, up to four levels
  • Vertical integration nobody else has
    8 built-in vertical templates, plus custom templates on paid tiers
  • Shopify Metaobjects
    Fitment stored as native Shopify metaobjects — your data survives uninstall
  • Smart Data Processing
    Smart Parse: extract fitment from existing product titles and descriptions, with confidence scoring
  • CSV Import/Export
    CSV import with fuzzy matching and a coverage dashboard
  • ACES / PIES
    ACES / PIES import and NHTSA VIN decoding
  • My Garage
    Saved-vehicle garage, compatibility table, and product-page fit notice
  • Context Aware Fitment Search
    Collection-level fitment assignment
  • No Obligations
    Free tier with no expiry, up to 50 products

Analysis

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

emqtt
ViewForge

Overall verdict

  • Yes, EMQTT is considered good, especially for enterprises and developers seeking a reliable and feature-rich MQTT broker tailored for IoT applications.

Why this product is good

  • EMQTT is a scalable and reliable open-source MQTT broker that supports large-scale deployments and offers high availability with clustering capabilities. It provides a robust platform for IoT applications, supporting millions of concurrent connections and delivering low latency messaging. Additionally, it offers comprehensive protocol support, including MQTT, MQTT-SN, CoAP, and more, along with rich feature sets such as SSL/TLS encryption, authentication, and authorization, enhancing security and operability.

Recommended for

  • Developers building IoT applications that require scalable messaging infrastructure.
  • Enterprises looking for secure and reliable MQTT broker solutions with clustering capabilities.
  • Organizations that need to handle a large number of concurrent device connections.
  • Projects seeking high performance with support for various messaging protocols.

No analysis of ViewForge yet.

Videos

Walkthroughs and reviews on video.

emqtt 0 videos + Add
ViewForge 1 video + Add

No emqtt videos yet. You could help us improve this page by suggesting one.

ViewForge: YMM Search & Filter

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
emqtt
ViewForge
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
IoT
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing emqtt and ViewForge.

What makes your product unique?

ViewForge's answer:

Three things. (1) Data ownership: ViewForge writes fitment as Shopify metaobjects native to your store — most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — most competitors are automotive-only. (3) Smart Parse: extract fitment automatically from your existing product titles and descriptions instead of re-typing everything.

Why should a person choose your product over its competitors?

ViewForge's answer:

Data ownership. Fitment lives in your Shopify metaobjects, so uninstalling does not take your compatibility data with it. Convermax, EasySearch and PartFinder all keep it in their own databases, and getting it back depends on their export tooling on the day you cancel.

Cost at the low end. The search widget, the compatibility table on the product page and the saved-vehicle garage are all on the free tier, up to 50 products, with no expiry. EasySearch puts the table and the garage behind its $75/month Premium plan. Convermax starts at $250/month.

Automotive and non-automotive coverage. Eight built-in templates, and fully custom templates from $19/month, for catalogs that do not decompose into Year/Make/Model at all.

How would you describe the primary audience of your product?

ViewForge's answer:

Shopify merchants whose customers need to know whether a part fits before they will buy it — and who do not have an engineer on staff to build that themselves.

Concretely: auto and truck parts retailers, powersports and motorcycle dealers, tractor and agricultural parts sellers, marine and outboard suppliers, small-engine and power equipment stores, bicycle and e-bike component shops, printer supply merchants, and electronics accessory sellers.

Catalog sizes run from a few dozen products on the free tier up into the tens of thousands; it is running in production on a catalog of roughly 40,000 SKUs. The common thread is not the industry — it is that "does this fit my thing" is the question deciding the sale.

What's the story behind your product?

ViewForge's answer:

ViewForge came out of agency work. Normal View was building for a parts retailer running roughly 12,000 SKUs who needed fitment search, and every app we evaluated stored the merchant's compatibility data in the vendor's own database.

That is a strange trade when you look at it directly. Fitment data is genuinely expensive to produce — it is weeks of work — and the merchant would not own the result. It would belong to whichever app happened to be installed that year.

Shopify metaobjects made a different answer possible: write fitment as native structured data inside the merchant's own store. The theme reads it, the Storefront API queries it, Admin GraphQL exports it, and it is still there after an uninstall. That decision is what the rest of the app is built around.

Everything else came from real catalogs rather than a roadmap. Eight verticals exist because a tractor catalog is not Year/Make/Model. Smart Parse exists because that retailer had already written fitment into 12,000 product titles, and nobody was ever going to retype them.

Which are the primary technologies used for building your product?

ViewForge's answer:

  • TypeScript
  • Shopify metaobjects, as the fitment data store
  • Shopify theme app extensions for the storefront components: fitment search, saved-vehicle garage, compatibility table, product-page fit notice
  • Shopify Storefront API, for querying fitment from the theme
  • Shopify Admin GraphQL API, for writing and exporting fitment records
  • NHTSA vehicle database, for VIN decoding
  • ACES and PIES XML parsing, for automotive catalog import

User comments

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

emqtt 6 mentions
ViewForge 0 mentions
  • Measuring Crowd Engagement with an MQTT-based IoT App
    Before applying our application to the cluster, we need to make sure there is a MQTT broker running that can be reached from within the cluster. For simplicity, we are deploying an EMQX MQTT broker as a Pod in the cluster along with a... - Source: dev.to / almost 2 years ago
  • Simplest Guide to DIY Your Own LLM Toy in 2024
    EMQX (optional): Open-source MQTT broker for IoT, IIoT, and connected vehicles. Used for managing your toys. - Source: dev.to / over 2 years ago
  • All right, which one of you did this?
    I do know a real world use for Erlang (it also surprised me when I investigated about it), but two of the biggest mqtt brokers are coded in erlang: emqx, vernemq. Source: over 3 years ago

View more

Tracking ViewForge since Aug 2026.

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