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Azure Database for PostgreSQL VS ViewForge

Compare Azure Database for PostgreSQL VS ViewForge and see what are their differences

Azure Database for PostgreSQL

Try Azure Database for PostgreSQL to build reliable and intelligent applications for your organization.

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.

Which is more popular?

Based on our record, Azure Database for PostgreSQL seems to be more popular. It has been mentioned 10 times since March 2021.

social mentions
10 vs 0
Databases popularity
100% vs 0%

Base details

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

Azure Database for PostgreSQL
ViewForge
Website azure.microsoft.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
Databases Database Management MySQL Tools Cloud Infrastructure +1
eCommerce Tools Custom Search Fitment

About Azure Database for PostgreSQL and ViewForge

In their own words, as submitted to SaaSHub.

Azure Database for PostgreSQL
ViewForge

No description of Azure Database for PostgreSQL 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.

Azure Database for PostgreSQL 5 features
ViewForge 9 features
  • Scalability
    Azure Database for PostgreSQL offers high scalability with the ability to easily scale up or down based on demand, which ensures that you can efficiently manage changes in workloads without downtime.
  • Managed Service
    As a fully managed database service, Azure handles database management tasks like patching, backups, and monitoring, allowing developers to focus more on application development rather than infrastructure maintenance.
  • High Availability
    The service provides built-in high availability within the same region, ensuring that your database has minimal downtime and can manage failovers effectively.
  • Security Features
    Azure Database for PostgreSQL offers advanced security features such as encryption at rest and in transit, virtual network service endpoints, and integration with Azure Active Directory for comprehensive security management.
  • Integration with Azure Ecosystem
    The service tightly integrates with other Azure services such as Azure Data Factory, Azure Analytics, and Power BI, enabling comprehensive data solutions and seamless workflows across different applications.

Possible disadvantages

  • Cost
    While offering a broad array of features, Azure Database for PostgreSQL can be more expensive compared to managing your own on-premises or cloud-hosted PostgreSQL database, especially as the need for more resources and higher performance grows.
  • Limited Control
    As a managed service, users have less control over the server configurations and underlying hardware, which may be a drawback for applications requiring specific customizations or optimizations.
  • Dependency on Azure Infrastructure
    Relying on Azure's infrastructure means your database availability is tied to Azure's performance and data center outages, which may impact access and operations if issues arise.
  • Learning Curve
    New users transitioning to Azure Database for PostgreSQL from other environments might face a learning curve due to Azure-specific tools and interfaces, requiring time and resources to fully leverage the platform.
  • Feature Parity
    There might be delays in the availability of the latest PostgreSQL features or extensions within Azure Database for PostgreSQL, as updates undergo additional validation and rollout through Azure's platform.
  • 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.

Azure Database for PostgreSQL 3 videos + Add
ViewForge 1 video + Add

Introducing Azure Database for PostgreSQL and Azure Database for MySQL

More videos

  • - Azure #17 - Azure Database for PostgreSQL | Azure Tutorial
  • - New ways to get started with Azure Database for PostgreSQL | Azure Friday

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
Azure Database for PostgreSQL
ViewForge
100% 100%
Databases
0% 0%
0% 0%
eCommerce Tools
100% 100%
100% 100%
MySQL Tools
0% 0%
0% 0%
Custom Search
100% 100%

Questions & Answers

As answered by people managing Azure Database for PostgreSQL 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 Azure Database for PostgreSQL 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.

Azure Database for PostgreSQL 10 mentions
ViewForge 0 mentions
  • Azure Fundamentals: Microsoft.DBforPostgreSQL
    Ready to get started? Explore the Azure documentation and free trial to experience the benefits of Azure DB for PostgreSQL firsthand: https://azure.microsoft.com/en-us/products/postgresql/. - Source: dev.to / over 1 year ago
  • Everyone Uses Postgres… But Why?
    Cloud deployment: PostgreSQL can be deployed in the cloud with AWS RDS, Amazon Aurora, Azure Database for PostgreSQL, or Cloud SQL for PostgreSQL. - Source: dev.to / almost 2 years ago
  • Configuring a Connection Pool
    Azure database for PostgreSQL supports built-in PgBouncer. - Source: dev.to / about 2 years ago

View more

Tracking ViewForge since Aug 2026.

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