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Maps · head to head

Fused vs PDAL

Fused logo

Fused

Maps

Serverless Python for geospatial: write a UDF, get a map tile endpoint and an HTTP API

From
Free
Rated
-
Full reviewWebsite
PDAL logo

PDAL

Libraries

Open source C++ library and command line tool for point cloud translation and processing

From
Free
Rated
-
Full reviewWebsite

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.; PDAL it is a library and command line tool with no graphical interface, so anyone expecting to inspect, edit or visualise a point cloud needs entirely separate software.
  • They diverge on capability: Fused covers User defined functions, PDAL covers Format translation.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Fused and PDAL actually diverge.

Attributes where Fused and PDAL differ
AttributeFusedPDAL
Pricing modelPer month by compute tierOpen source, no licence fee
PlatformsWeb, Linux, macOS, WindowsLinux, Windows, macOS
CategoryMapsLibraries

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 PDAL

  • Format translation
  • JSON pipelines
  • Ground classification filters
  • Reprojection
  • Rasterisation
  • Python bindings
  • Streaming mode
  • Cloud-native output

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 PDAL
  • An analyst prototyping against Overture, Sentinel or Census data who needs a working map in an afternoon rather than a data engineering ticketnot PDAL
  • 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 PDAL
  • A consultancy delivering an interactive constraint or suitability map to a client, computed live from source data rather than pre-baked into static tilesnot PDAL

PDAL

  • A mapping agency building a repeatable pipeline that reprojects, classifies ground and tiles a national lidar datasetnot Fused
  • A developer converting client-delivered LAS files into cloud-optimised COPC for streaming to a web viewernot Fused
  • A researcher scripting outlier removal and DEM generation from drone lidar inside a Python notebooknot Fused
  • A survey firm automating quality checks on incoming point cloud deliveries rather than opening each file by handnot 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.

PDAL

  • It is a library and command line tool with no graphical interface, so anyone expecting to inspect, edit or visualise a point cloud needs entirely separate software.
  • Pipelines are written as JSON with filter-specific parameters, and getting classification results right requires understanding the underlying algorithms rather than tuning a slider.
  • Development depends heavily on a small contributor base and on public sector contract funding, which is a concentration risk for an organisation making it load-bearing.
  • There is no vendor support tier to purchase; paid help means a consulting engagement, which suits an agency with a procurement process and suits a small firm poorly.
  • Error messages and documentation assume geospatial and command line fluency, so the practical adoption cost is staff capability rather than licence fees.

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

PDAL

Free
  • PDALFree
    • BSD licence
    • Library, command line tool and Python bindings
    • No usage 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.
Fused review

Choose PDAL if

  • You need format translation.
  • You want to start without paying.
  • You work on Linux, Windows, macOS.
  • You also want json pipelines.
PDAL review

Questions people ask

Is Fused or PDAL better?
Neither clearly leads. Fused starts at Free and PDAL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fused or PDAL?
Fused starts at Free and PDAL at Free.
Does Fused or PDAL run on more platforms?
Fused runs on Web, Linux, macOS, Windows. PDAL 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 PDAL is typically brought in for.
What can Fused do that PDAL cannot?
Fused covers User defined functions, Instant tile endpoints, HTTP API, Caching. PDAL covers Format translation, JSON pipelines, Ground classification filters, Reprojection.

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.

PDAL: Is PDAL a product I can buy?

No. It is a free BSD-licensed library and command line tool. There is nothing to purchase.

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.

PDAL: Who maintains it?

An open contributor community with development led substantially by Hobu Inc, funded largely through US public sector contracts.

Fused: Can I run UDFs locally?

Yes, through the Python SDK, which is how most development is done before deploying.

PDAL: Can I get commercial support?

Only by contracting Hobu or an independent consultancy. There is no support subscription.

Fused: Does it replace PostGIS or BigQuery?

No. It reads from them. Fused is the compute and serving layer, not the store.

PDAL: Does it have a viewer?

No. Use QGIS, CloudCompare or a web viewer for visualisation; PDAL handles the processing.

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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