Software Alternatives & Startups

Data Studio VS ViewForge

Compare Data Studio VS ViewForge and see what are their differences

Data Studio

Data Studio is a data transforming platform that allows businesses or users to convert their client’s data into useful reports through data visualization.

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, Data Studio seems to be more popular. It has been mentioned 3 times since March 2021.

social mentions
3 vs 0
Business Intelligence popularity
100% vs 0%

Base details

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

Data Studio
ViewForge
Website datastudio.google.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 Data Studio and ViewForge

In their own words, as submitted to SaaSHub.

Data Studio
ViewForge

No description of Data Studio 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.

Data Studio 5 features
ViewForge 9 features
  • User-Friendly Interface
    Looker Studio offers an intuitive drag-and-drop interface, making it accessible for users with minimal technical expertise to create and customize reports and dashboards.
  • Integration with Google Products
    Seamlessly integrates with other Google services like Google Analytics, Google Ads, and Google Sheets, allowing for easy access to a wide range of data sources.
  • Collaboration and Sharing
    Facilitates easy collaboration by allowing users to share reports and dashboards with team members, either through direct links or embedding, with different levels of access control.
  • Real-Time Data Updates
    Supports real-time data connection, enabling reports and dashboards to display the most current data available.
  • Cost-Effective
    Offers a free-to-use model which makes it an attractive option for small to medium-sized businesses or individual users.

Possible disadvantages

  • Limited Data Connectors
    While Looker Studio supports numerous data connectors, it may still lack connectivity for niche or non-Google data sources, requiring additional steps or third-party solutions.
  • Customization Limitations
    Compared to other advanced BI tools, it may offer limited customization options, particularly concerning complex visualizations and sophisticated data transformations.
  • Performance Issues with Large Data Sets
    Users might encounter performance issues, such as slow loading times, when dealing with very large datasets or complex queries.
  • Dependency on Google Ecosystem
    Its strong integration with Google products might not be ideal for users heavily reliant on non-Google services, causing potential challenges in data consolidation.
  • Learning Curve for Advanced Features
    While basic functionalities are easily accessible, taking full advantage of advanced features and capabilities may require learning and adaptation.
  • 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.

Data Studio 3 videos + Add
ViewForge 1 video + Add

Google Data Studio Explained in 100 seconds

More videos

  • - The Best BI Tool For Beginners? - Google Data Studio Review
  • - Tableau vs Google Data Studio: Pros and Cons + My Recommendations

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
Data Studio
ViewForge
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Data Studio 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 Data Studio and ViewForge. For example, how are they different and which one is better?

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Social recommendations and mentions

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

Data Studio 3 mentions
ViewForge 0 mentions
  • Adding Series Lines to a Stacked Bar Chart
    The service formerly known as Google Data Studio might have a suitable option, or you can make your own if you have (or have access to) JavaScript and CSS expertise. Alternatively, you might be able to approximate the effect with the... Source: over 3 years ago
  • Google Cloud Reference
    Data Studio: Collaborative data exploration/dashboarding 🔗Link 🔗Link. - Source: dev.to / about 4 years ago
  • Should the subreddit allow posts about Data Studio?
    Data Studio is Google's business intelligence tool for building interactive reports and visualizations with a drag-and-drop interface. It can connect to Google Sheets as a data source, which makes it really easy to build fancy reports... Source: about 4 years ago

Tracking ViewForge since Aug 2026.

Alternatives to Data Studio and ViewForge

When comparing Data Studio and ViewForge, you can also consider the following products.