Maps · head to head
Fused vs GRASS GIS
Fused
Maps
Serverless Python for geospatial: write a UDF, get a map tile endpoint and an HTTP API
- From
- Free
- Rated
- -
GRASS GIS
Maps
Long-running open source geospatial analysis engine for raster, vector and terrain processing
- From
- Free
- Rated
- -
The short version
- 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.; GRASS GIS the location and mapset data model requires importing data into a structured database with a fixed coordinate system before analysis, which is a real barrier for anyone used to opening files directly.
- They diverge on capability: Fused covers User defined functions, GRASS GIS covers Raster analysis.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Fused and GRASS GIS actually diverge.
Identical on both: starting price (Free), free tier (Yes), 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 GRASS GIS
- Raster analysis
- Hydrological modelling
- Terrain analysis
- Vector topology
- Temporal framework
- Image processing
- Python API
- QGIS integration
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 GRASS GIS
- An analyst prototyping against Overture, Sentinel or Census data who needs a working map in an afternoon rather than a data engineering ticketnot GRASS GIS
- 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 GRASS GIS
- A consultancy delivering an interactive constraint or suitability map to a client, computed live from source data rather than pre-baked into static tilesnot GRASS GIS
GRASS GIS
- A hydrologist delineating watersheds and modelling flow accumulation over a large digital elevation modelnot Fused
- A research group building a reproducible time series analysis of satellite imagery that must be rerunnable years laternot Fused
- An environmental agency running viewshed and solar radiation analysis for planning assessments without buying commercial GIS seatsnot Fused
- A QGIS user who needs a specific processing algorithm that only exists in the GRASS toolboxnot 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.
GRASS GIS
- The location and mapset data model requires importing data into a structured database with a fixed coordinate system before analysis, which is a real barrier for anyone used to opening files directly.
- The native graphical interface is dated and inconsistent compared with QGIS or ArcGIS, so most users end up running GRASS through QGIS and never learn the tool they are actually depending on.
- There is no vendor, so contractual support, service levels and liability do not exist by default and must be arranged with an independent consultancy that may not cover your jurisdiction.
- Cartographic output and map layout are weak relative to the analysis capability, meaning a second tool is always needed to produce a publishable map.
- Module naming and argument conventions are idiosyncratic and long-standing, so scripts are durable but the learning curve is steep and transferable skills from other GIS packages help less than expected.
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
GRASS GIS
Free- GRASS GISFree
- GNU GPL licence
- All modules included
- No user or seat limits
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 GRASS GIS if
- You need raster analysis.
- You want to start without paying.
- You work on Linux, Windows, macOS.
- You also want hydrological modelling.
Questions people ask
- Is Fused or GRASS GIS better?
- Neither clearly leads. Fused starts at Free and GRASS GIS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fused or GRASS GIS?
- Fused starts at Free and GRASS GIS at Free.
- Does Fused or GRASS GIS run on more platforms?
- Fused runs on Web, Linux, macOS, Windows. GRASS GIS runs on Linux, Windows, macOS.
- Can I use Fused for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 GRASS GIS is typically brought in for.
- What can Fused do that GRASS GIS cannot?
- Fused covers User defined functions, Instant tile endpoints, HTTP API, Caching. GRASS GIS covers Raster analysis, Hydrological modelling, Terrain analysis, Vector topology.
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.
GRASS GIS: Who maintains GRASS GIS?
An international volunteer and academic developer community under the Open Source Geospatial Foundation. It originated at the US Army Construction Engineering Research Laboratory in 1982.
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.
GRASS GIS: Can I buy commercial support?
Not from a vendor. Independent consultancies in the OSGeo ecosystem offer paid support and development, and availability varies by region.
Fused: Can I run UDFs locally?
Yes, through the Python SDK, which is how most development is done before deploying.
GRASS GIS: Do I need to use its interface?
No. Most people run GRASS algorithms through the QGIS processing toolbox or from Python.
Fused: Does it replace PostGIS or BigQuery?
No. It reads from them. Fused is the compute and serving layer, not the store.
GRASS GIS: Is it suitable for production use?
Yes for analysis pipelines, and it is used by agencies and research institutions. Plan for community support rather than a service level agreement.
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.
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