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Yellowfin VS ViewForge

Compare Yellowfin VS ViewForge and see what are their differences

Yellowfin

Yellowfin is a leading Business intelligence Software vendor. Find out how we are making Business Intelligence easy.

Rating
0 reviews
Alternatives Is it good?
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)
Alternatives Is it good?
Lucris
Financial decision-making for Shopify brands, connecting sales and marketing to show what drives profit - and what to do next. sponsored
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.

Base details

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

Yellowfin
ViewForge
Website yellowfinbi.com normalview.pro
Pricing
Official 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
Development Data Dashboard Business Intelligence Online Services +1
eCommerce Tools Custom Search Fitment

About Yellowfin and ViewForge

In their own words, as submitted to SaaSHub.

Yellowfin
ViewForge

  www.yellowfinbi.comSoftware by Yellowfin

Read more about Yellowfin

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.

Yellowfin 5 features
ViewForge 9 features
  • User-Friendly Interface
    Yellowfin BI is known for its intuitive and easy-to-navigate interface. This makes it accessible for users with varying levels of technical expertise, thereby reducing the learning curve.
  • Collaborative Features
    The platform offers strong collaboration tools, such as storytelling, discussion threads, and annotations. These features facilitate greater team collaboration and improve decision-making processes.
  • Embedded Analytics
    Yellowfin allows for seamless embedding of analytic content into third-party applications, which can be particularly useful for organizations looking to enrich existing software with advanced data insights.
  • Automated Insights
    With its AI-powered Automated Insights feature, Yellowfin helps users uncover hidden trends and anomalies in data, saving time and enhancing data analysis capabilities.
  • Customization Options
    The platform offers robust customization capabilities, from custom dashboards to advanced reporting. This allows organizations to tailor the BI experience to meet specific business needs.

Possible disadvantages

  • Pricing
    Yellowfin BI can be relatively expensive, particularly for smaller organizations or those with limited budgets. The cost may include licensing fees, implementation costs, and potential add-ons.
  • Performance Issues
    Some users have reported performance issues, especially when dealing with very large datasets or complex queries. This can sometimes affect the user experience and slow down decision-making.
  • Limited Data Source Integration
    While Yellowfin supports multiple data sources, it may not integrate as seamlessly with certain lesser-known or specialized data sources compared to some of its competitors.
  • Steeper Learning Curve for Advanced Features
    Although basic features are easy to use, more advanced features and customizations may require a steeper learning curve and a deeper understanding of the platform.
  • Support and Documentation
    Some users have pointed out that the quality of customer support and the available documentation could be improved, making it challenging to resolve issues quickly.
  • 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.

Yellowfin 3 videos + Add
ViewForge 1 video + Add

Vibe Yellowfin 120: On Water Review

More videos

  • - The Ultimate center console? You decide! - 36 Yellowfin Offshore boat review for sale by Boat Depot
  • - Yellowfin 7000 Southerner Boat Review | Club Marine

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
Yellowfin
ViewForge
100% 100%
Development
0% 0%
0% 0%
eCommerce Tools
100% 100%
100% 100%
Data Dashboard
0% 0%
0% 0%
Custom Search
100% 100%

Questions & Answers

As answered by people managing Yellowfin 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

Share your experience with using Yellowfin and ViewForge. For example, how are they different and which one is better?

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Reviews and articles

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

Yellowfin no reviews yet
ViewForge no reviews yet
  • 25 Best Reporting Tools for 2022
    hevodata.com · Nov 2021

    Yellowfin is well known as a Business Intelligence and Data Reporting platform that serves as a single integrated solution developed for companies across various industries. Yellowfin makes it very easy to monitor,...

  • The Best Data Visualization Tools - Top 30 BI Software
    improvado.io · Nov 2018

    Yellowfin lets you to easily visualize and explore your data with advanced data visualization and Data Discovery capabilities. Just connect to any of your favorite data sources and start uncovering patterns,...

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