Maps · head to head
Fused vs Global Mapper
Fused
Maps
Serverless Python for geospatial: write a UDF, get a map tile endpoint and an HTTP API
- From
- Free
- Rated
- -
Global Mapper
Maps
A GIS and lidar desktop that still sells a genuine perpetual licence with published prices
- From
- $700/one-time
- Rated
- -
The short version
- Only Fused has a free tier, so it costs nothing to try first.
- Each has a real cost: Fused the price steps are brutal: $20 to $200 to $2,000 a month with no intermediate tier, so a two-person team that outgrows Starter faces a tenfold increase for what is often a modest capacity gap.; Global Mapper it is Windows only with no macOS or Linux build, so mixed-platform teams end up running a virtual machine and lose graphics performance on large point clouds
- They diverge on capability: Fused covers User defined functions, Global Mapper covers Format breadth.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Fused and Global Mapper actually diverge.
| Attribute | Fused | Global Mapper |
|---|---|---|
| Starting price | Free | $700/one-time |
| Pricing model | Per month by compute tier | One-time purchase |
| Free tier | Yes | No |
| Platforms | Web, Linux, macOS, Windows | Windows |
Identical on both: user rating (Not yet rated), category (Maps).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Fused
- User defined functions
- Instant tile endpoints
- HTTP API
- Caching
- Workbench
- Data stack connectors
- Public UDF catalogue
- Local execution
Only in Global Mapper
- Format breadth
- Lidar processing
- Pixels to Points
- Coordinate transformation
- Terrain analysis
- Scripting
- Mobile companion
What people use each for
The jobs each tool is most often brought in to do.
Fused
- A data team that wants to publish a dynamic layer computed from a large Parquet dataset without standing up and operating a tile servernot Global Mapper
- An analyst prototyping against Overture, Sentinel or Census data who needs a working map in an afternoon rather than a data engineering ticketnot Global Mapper
- An application that needs a geospatial computation exposed as an HTTP endpoint, where the alternative is a container, a queue and an on-call rotanot Global Mapper
- A consultancy delivering an interactive constraint or suitability map to a client, computed live from source data rather than pre-baked into static tilesnot Global Mapper
Global Mapper
- A survey office that receives lidar in a different format from every client and needs reliable conversion without writing scriptsnot Fused
- A consultancy that wants to classify ground points and extract building footprints from a drone survey without an Esri enterprise agreementnot Fused
- An organisation with an irregular workload that wants to buy the licence outright and skip maintenance in quiet yearsnot Fused
- A geologist producing volumes, contours and cross sections from terrain data on a standalone office workstationnot Fused
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Fused
- The price steps are brutal: $20 to $200 to $2,000 a month with no intermediate tier, so a two-person team that outgrows Starter faces a tenfold increase for what is often a modest capacity gap.
- Published tiers do not state the actual compute, storage or request allowances, so the only way to know whether $200 covers your workload is to run it and find out.
- Fused is at pre-seed stage with a small team, and putting a customer-facing map behind a startup’s serverless platform is a continuity risk that a procurement review will flag.
- It is Python-only and assumes competence with cloud-native geospatial formats; there is no path for an analyst who works in a desktop GIS and not in code.
- Serverless execution means cold starts and per-tile latency on uncached views, so a first load of a heavy UDF over a wide area is noticeably slower than a pre-rendered tile set.
Global Mapper
- It is Windows only with no macOS or Linux build, so mixed-platform teams end up running a virtual machine and lose graphics performance on large point clouds
- The interface has grown by accretion over two decades and features are scattered across menus, so new users are slow to find capabilities that are already installed
- Node-locked perpetual licences are tied to the machine identifier, so a hardware refresh or a failed workstation means a support request rather than a login on a new device
- Multi-user and web publishing are weak relative to Esri or QGIS with a server stack, so it is a desktop analysis tool and not a platform for sharing data across an organisation
- Published prices apply to North America and differ elsewhere, so buyers outside that market must go through a reseller and cannot rely on the listed figures for budgeting
Pricing, plan by plan
Fused
Free- FreeFree
- Workbench access
- AI assistant
- Local UDF runs
- Starter$20/month
- Secrets management
- Higher compute limits
- Office hours support
- Developer$200/month
- Dedicated jobs
- GitHub integration
- Expanded compute, storage and AI token allowance
- Professional$2000/month
- Team collaboration
- Dedicated training
- Substantially increased usage limits
Global Mapper
$700/one-time- Global Mapper Standard, node-locked$700/one-time
- Perpetual licence tied to one machine
- First year of maintenance and support included
- Renewal 245 USD per year, optional
- Global Mapper Standard, floating or dongle$1050/one-time
- Shared between users or carried on a USB dongle
- Maintenance renewal 365 USD per year
- Network licence 2,100 USD with a two-seat minimum
- Global Mapper Pro, node-locked$1750/one-time
- Adds lidar classification, feature extraction and Pixels to Points
- Maintenance renewal 610 USD per year
- Upgrade from Standard version 26 costs 1,050 USD
- Global Mapper Pro, floating or dongle$2625/one-time
- Shared or dongle licence
- Maintenance renewal 915 USD per year
- Network licence 5,250 USD with a two-seat minimum
Which should you pick?
Choose Fused if
- You need user defined functions.
- You want to start without paying.
- You work on Web, Linux, macOS, Windows.
- You also want instant tile endpoints.
Choose Global Mapper if
- You need format breadth.
- You work on Windows.
- You also want lidar processing.
Questions people ask
- Is Fused or Global Mapper better?
- Neither clearly leads. Fused starts at Free and Global Mapper at $700/one-time, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fused or Global Mapper?
- Fused has a free tier; the other does not. Paid plans start at Free for Fused and $700/one-time for Global Mapper.
- Does Fused or Global Mapper run on more platforms?
- Fused runs on Web, Linux, macOS, Windows. Global Mapper runs on Windows.
- Can I use Fused for free?
- Yes. Fused has a free tier, so you can try it without paying. Global Mapper starts at $700/one-time.
- What is Fused best used for?
- Fused is most often used for a data team that wants to publish a dynamic layer computed from a large parquet dataset without standing up and operating a tile server, an analyst prototyping against overture, sentinel or census data who needs a working map in an afternoon rather than a data engineering ticket, an application that needs a geospatial computation exposed as an http endpoint, where the alternative is a container, a queue and an on-call rota, a consultancy delivering an interactive constraint or suitability map to a client, computed live from source data rather than pre-baked into static tiles. Of those, a data team that wants to publish a dynamic layer computed from a large parquet dataset without standing up and operating a tile server and an analyst prototyping against overture, sentinel or census data who needs a working map in an afternoon rather than a data engineering ticket are not what Global Mapper is typically brought in for.
- What can Fused do that Global Mapper cannot?
- Fused covers User defined functions, Instant tile endpoints, HTTP API, Caching. Global Mapper covers Format breadth, Lidar processing, Pixels to Points, Coordinate transformation.
Answered from the vendors’ own pages
Fused: What does Fused actually give me?
A Python function becomes a map tile endpoint and an HTTP API on managed infrastructure, with caching, without you running a server.
Global Mapper: Is there still a perpetual licence?
Yes. Blue Marble sells perpetual node-locked, floating, dongle and network licences that keep working after maintenance lapses.
Fused: How much does it cost?
Free, then $20, $200 and $2,000 per month for Starter, Developer and Professional. Usage allowances are not itemised publicly.
Global Mapper: What is the difference between Standard and Pro?
Pro is an add-on to a matching Standard licence and carries the lidar classification, feature extraction, Pixels to Points photogrammetry and advanced terrain tools.
Fused: Can I run UDFs locally?
Yes, through the Python SDK, which is how most development is done before deploying.
Global Mapper: Do I have to pay maintenance?
Only for the first year, which is included. After that it is optional; without it the software continues to run but you receive no upgrades or support.
Fused: Does it replace PostGIS or BigQuery?
No. It reads from them. Fused is the compute and serving layer, not the store.
Global Mapper: Can it replace ArcGIS?
For desktop format conversion, lidar and terrain analysis, often yes. For enterprise data management, web services and organisation-wide sharing, no.
Fused: Is it a mature company?
No. It is a small pre-seed San Francisco company. The technology is real; the vendor risk is real too.
Related pages
More on Global Mapper
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