Compare vectormap and Superset on pricing, features, platforms, and ratings — both Analytics tools, One-time per-file purchases (not a subscription):…
At a Glance
vectormap
Superset
Primary category
Analytics
Analytics
Rating
Not documented
Not documented
Pricing model
One-time per-file purchases (not a subscription): individual vector map downloads range roughly $29-$127 depending on complexity and area covered, custom map commissions are quoted to match the catalog, and the separate WordPress add-ons (Globe Visitors Counter ~$17, VectorMap Sitemap & SEO Analytics Pro ~$19) are also one-time purchases under a royalty-free, no-resale license.
open-source
Starting price
Not documented
Free
Free plan
Not documented
Not documented
Free trial
Not documented
Not documented
Platforms
Not documented
Not documented
Team collaboration
Not documented
Not documented
AI features
Not documented
Not documented
Public API
Not documented
Yes
Pricing Compared
Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.
vectormap
No individual plan breakdown documented yet.
Superset
Open Source (self-hosted) — Free n/a
Pros & Cons
vectormap
Pros
Large catalog of over 4,300 pre-made vector maps covering cities, countries, and regions
Files are layered and fully editable in Adobe Illustrator, CorelDRAW, and CAD formats (DWG/DXF)
Royalty-free licensing allows unlimited printing, editing, and reuse in commercial projects
Custom map orders are available with a stated 24-hour turnaround
Cons
Products are one-time file downloads rather than a software application or ongoing platform
No self-serve pricing page with a clear master price list was found; per-map prices vary by product
Small, geographically distributed team rather than a large support organization
Resale of the downloaded map files themselves is explicitly prohibited by the license
Superset
Pros
Completely free and open source with no per-seat licensing cost
Backed by the Apache Software Foundation with an active open-source community
Connects to a very wide range of SQL databases and data warehouses
Highly extensible through plugins and a semantic layer
No vendor lock-in since the project and its source code are fully open
Cons
Self-hosting requires engineering effort to deploy, secure, and maintain
No official vendor support channel for the free open-source version
Setup and configuration are more technical than fully managed BI tools
Feature velocity and documentation quality can vary release to release since it is community-driven
Teams wanting a hosted, supported version must adopt a separate commercial product like Preset
Use Cases
vectormap
Superset
Self-hosted BI for engineering-led teams — Data and platform engineering teams deploy Superset internally to give analysts and stakeholders dashboards without paying per-seat BI licensing fees.
SQL-native ad hoc analysis — Analysts use SQL Lab within Superset to explore warehouse data directly and turn queries into shareable charts and dashboards.
Embedded analytics in internal tools — Engineering teams embed Superset dashboards inside internal applications or customer-facing products to surface data without building custom visualization tooling.