Software Alternatives & Startups

NATS VS ViewForge

Compare NATS VS ViewForge and see what are their differences

NATS

NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.

Rating
0 reviews
Pricing
Open source
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, NATS seems to be more popular. It has been mentioned 81 times since March 2021.

social mentions
81 vs 0
Developer Tools popularity
100% vs 0%

Base details

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

NATS
ViewForge
Website nats.io normalview.pro
Pricing
Open source
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 NATS and ViewForge

In their own words, as submitted to SaaSHub.

NATS
ViewForge

NATS.io is a connective technology for distributed systems and is a perfect fit to connect devices, edge, cloud or hybrid deployments. True multi-tenancy makes NATS ideal for SaaS and self-healing and scaling technology allows for topology changes anytime with zero downtime.

Read more about NATS

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.

NATS 6 features
ViewForge 9 features
  • Performance
    NATS is designed for high performance, offering low latency and high throughput, which makes it suitable for real-time applications.
  • Scalability
    It supports horizontal scaling with ease, allowing the system to handle a growing number of connections and messages effectively.
  • Simplicity
    NATS has a straightforward API and simple configuration, making it easier to use and manage compared to more complex messaging systems.
  • Fault Tolerance
    NATS includes features like clustering, message persistence, and support for distributed systems, contributing to high availability and reliability.
  • Polyglot Support
    NATS supports multiple programming languages, including Go, Java, Python, Ruby, and more, making it versatile in various tech stacks.
  • Event-Driven Architecture
    NATS is well-suited for event-driven architecture, facilitating real-time communication and distributed system design.

Possible disadvantages

  • Limited Message Persistence
    While NATS provides JetStream for message persistence, it was traditionally designed for transient messaging, which might not satisfy all persistence needs.
  • Complex Clustering
    Setting up and maintaining NATS clusters can be complex and may require careful planning and expertise.
  • Learning Curve
    Though simple to start, mastering NATS for large-scale and production-grade deployments can involve a steep learning curve.
  • Feature Set
    NATS focuses on core messaging features, which means it might lack some of the advanced features provided by other messaging systems like Kafka.
  • Ecosystem
    The NATS ecosystem is growing but may not be as extensive as other established messaging systems, potentially limiting available third-party tools and integrations.
  • 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

Videos

Walkthroughs and reviews on video.

NATS 1 video + Add
ViewForge 1 video + Add

The coolest OSS project you've never heard of: NATS Getting started!

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
NATS
ViewForge
100% 100%
0% 0%
0% 0%
100% 100%
0% 0%
100% 100%

Questions & Answers

As answered by people managing NATS 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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Reviews and articles

External articles and on-site reviews we used to compare the two products.

NATS no reviews yet
ViewForge no reviews yet
  • Best message queue for cloud-native apps
    docs.vanus.ai · Nov 2023

    NATS is designed to be simple and easy to use, with a small footprint and low latency. It is often used in cloud-native environments to connect different components of a distributed system or to enable communication...

  • Are Free, Open-Source Message Queues Right For You?
    blog.iron.io · Jul 2023

    One challenge of NATS is that it does not support reliable message queuing out of the box - messages can be lost if a client disconnects before it receives them. This can be mitigated by using NATS Streaming, a data...

  • NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
    gcore.com · Apr 2023

    NATS is known for its high performance, low latency, and emphasis on simplicity after it was rewritten in Go. Its rewrite in Go makes NATS an ideal choice for demanding and real-time applications and has increased its...

We have no reviews of ViewForge yet. Be the first one to post

Social recommendations and mentions

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

NATS 81 mentions
ViewForge 0 mentions
  • I Poked a 10-Year-Old Chat Protocol With a Stick
    Under the hood, when you want to run more than one lhttp server (because one server is never enough once your chat app takes off, right?), all the servers talk to each other through NATS, specifically an ancient bundled copy of gnatsd. - Source: dev.to / 3 months ago
  • The Edge Isn't a Place — It's an Operating Reality
    NATS and the Synadia Platform are purpose-built for exactly this architecture: leaf node topologies that treat edge clusters as first-class entities, JetStream for local durability and controlled forwarding, decentralized security for... - Source: dev.to / 6 months ago
  • IBM to Acquire Confluent
    Https://nats.io Not a drop in replacement, but worth looking at. - Source: Hacker News / 10 months ago

View more

Tracking ViewForge since Aug 2026.

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