Maps · head to head
Fused vs Mappedin
Fused
Maps
Serverless Python for geospatial: write a UDF, get a map tile endpoint and an HTTP API
- From
- Free
- Rated
- -
Mappedin
Maps
Enterprise indoor mapping platform that helps venues create interactive 3D maps, wayfinding
- 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.; Mappedin location naming is the leading source of integration failures, requiring manual cleanup of AI-generated labels
- They diverge on capability: Fused covers User defined functions, Mappedin covers Core Functionality.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Fused and Mappedin 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 Mappedin
- Core Functionality
- User Interface
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 Mappedin
- An analyst prototyping against Overture, Sentinel or Census data who needs a working map in an afternoon rather than a data engineering ticketnot Mappedin
- 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 Mappedin
- A consultancy delivering an interactive constraint or suitability map to a client, computed live from source data rather than pre-baked into static tilesnot Mappedin
Mappedin
- Indoor navigation and map experience for buildingsnot Fused
- Operations management for facility and workplace planningnot 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.
Mappedin
- Location naming is the leading source of integration failures, requiring manual cleanup of AI-generated labels
- Multi-building campus maps not supported for Microsoft Places integration
- No native digital signage CMS for integrated sign management
- Limited analytics capabilities compared to competitors in complex enterprise environments
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$2000/month
- Team collaboration
- Dedicated training
- Substantially increased usage limits
Mappedin
Free- FreeFree
- 1 map
- Basic indoor mapping
- No SDK access
- Custom Enterprise$undefined/mo
- Subscription-based on square footage
- Full platform access
- SDKs and APIs
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 Mappedin if
- You need core functionality.
- You want to start without paying.
- You work on Web, iOS, Android, Cloud.
- You also want user interface.
Questions people ask
- Is Fused or Mappedin better?
- Neither clearly leads. Fused starts at Free and Mappedin at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fused or Mappedin?
- Fused starts at Free and Mappedin at Free.
- Does Fused or Mappedin run on more platforms?
- Fused runs on Web, Linux, macOS, Windows. Mappedin runs on Web, iOS, Android, Cloud.
- 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 Mappedin is typically brought in for.
- What can Fused do that Mappedin cannot?
- Fused covers User defined functions, Instant tile endpoints, HTTP API, Caching. Mappedin covers Core Functionality, User Interface.
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.
Mappedin: Does Mappedin support multi-building campus mapping?
Mappedin supports multi-building deployments, but the Places integration requires each building to be mapped as a separate venue rather than as one unified campus map.
SourceFused: 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.
Mappedin: How long does it take to deploy Mappedin for a large venue?
Large venue deployments typically go live within 30-60 days from contract signature. The Mappedin Maker platform enables rapid map creation from floor plans, with professional map-making services available for additional fees.
SourceFused: Can I run UDFs locally?
Yes, through the Python SDK, which is how most development is done before deploying.
Mappedin: What platforms and SDKs does Mappedin provide?
Mappedin offers SDKs for Web, iOS, and Android, plus comprehensive APIs and webhooks for integrations. The platform supports venues including airports, shopping malls, stadiums, workplaces, and healthcare facilities.
SourceFused: Does it replace PostGIS or BigQuery?
No. It reads from them. Fused is the compute and serving layer, not the store.
Mappedin: Does Mappedin have a free plan?
Yes, Mappedin offers a free plan for creating one initial digital map at app.mappedin.com. Pricing is subscription-based and scales with building size in square footage or square meters.
SourceFused: 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.
Mappedin: What compliance certifications does Mappedin have?
Mappedin is SOC2 certified, GDPR compliant, and WCAG accessible. The platform includes real-time data management and analytics capabilities.
SourceRelated pages
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