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Databases · head to head

MotherDuck vs Apache Spark MLlib

MotherDuck logo

MotherDuck

Databases

Serverless analytics data warehouse built on DuckDB

From
Free
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Machine Learning

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: MotherDuck the free Lite plan caps compute at 10 hours per month, which limits it to light or hobbyist workloads.; Apache Spark MLlib apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.
  • They diverge on capability: MotherDuck covers Serverless DuckDB instances, Apache Spark MLlib covers Classification.

Where they differ

Only the attributes on which MotherDuck and Apache Spark MLlib actually diverge.

Attributes where MotherDuck and Apache Spark MLlib differ
AttributeMotherDuckApache Spark MLlib
Pricing modelusage-basedopen-source
Platformsweb, apiLinux, macOS, Windows
CategoryDatabasesMachine Learning
Founded20221999

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 MotherDuck

  • Serverless DuckDB instances
  • Cloud storage querying
  • MCP server
  • Dives
  • Flights
  • Read-scaling replicas

Only in Apache Spark MLlib

  • Classification
  • Regression
  • Clustering
  • Collaborative filtering
  • Feature engineering
  • Apache Spark
  • Hadoop
  • Kafka

What people use each for

The jobs each tool is most often brought in to do.

MotherDuck

  • Ad-hoc analytics on gigabyte-to-terabyte datasetsnot Apache Spark MLlib
  • Querying data lake files in S3/GCS/Azure without ingestionnot Apache Spark MLlib
  • AI agent data analysis via MCPnot Apache Spark MLlib
  • Scheduled data pipeline transformationsnot Apache Spark MLlib

Apache Spark MLlib

  • Machine learningnot MotherDuck
  • Data sciencenot MotherDuck
  • Distributed computingnot MotherDuck

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

MotherDuck

  • The free Lite plan caps compute at 10 hours per month, which limits it to light or hobbyist workloads.
  • Business plan usage charges on top of the $250/month base can make costs less predictable than flat-rate competitors.
  • There are no academic or non-profit discounts, unlike some competing data platforms.
  • Annual billing requires going through a sales conversation rather than a self-serve toggle.

Apache Spark MLlib

  • Apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.

Pricing, plan by plan

MotherDuck

Free
  • LiteFree
    • Up to 3 internal active users
    • 2 service accounts
    • 10GB free storage
  • Business$250/month
    • Up to 10 internal active users
    • Unlimited service accounts
    • 5 instance types with read-scaling replicas
  • Enterprise$undefined/month
    • Unlimited internal users and service accounts
    • Fixed-cost capacity pricing
    • AWS PrivateLink, IP allowlisting

Apache Spark MLlib

Free

No published plan breakdown. See the Apache Spark MLlib review.

Which should you pick?

Choose MotherDuck if

  • You need serverless duckdb instances.
  • You want to start without paying.
  • You work on web, api.
  • You also want cloud storage querying.
MotherDuck review

Choose Apache Spark MLlib if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want regression.
Apache Spark MLlib review

Questions people ask

Is MotherDuck or Apache Spark MLlib better?
Neither clearly leads. MotherDuck starts at Free and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, MotherDuck or Apache Spark MLlib?
MotherDuck starts at Free and Apache Spark MLlib at Free.
Does MotherDuck or Apache Spark MLlib run on more platforms?
MotherDuck runs on web, api. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use MotherDuck for free?
Both have a free tier, so you can try either at no cost before committing.
What is MotherDuck best used for?
MotherDuck is most often used for ad-hoc analytics on gigabyte-to-terabyte datasets, querying data lake files in s3/gcs/azure without ingestion, ai agent data analysis via mcp, scheduled data pipeline transformations. Of those, ad-hoc analytics on gigabyte-to-terabyte datasets and querying data lake files in s3/gcs/azure without ingestion are not what Apache Spark MLlib is typically brought in for.
What can MotherDuck do that Apache Spark MLlib cannot?
MotherDuck covers Serverless DuckDB instances, Cloud storage querying, MCP server, Dives. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

MotherDuck: What does MotherDuck cost?

The Lite plan is free (up to 3 users, 10GB storage, 10 hours of Pulse compute/month). Business is $250/organization/month plus usage, with Enterprise available at custom fixed-cost pricing.

Source
Apache Spark MLlib: How much does Apache Spark MLlib cost?

MLlib is completely free and open source, licensed under the Apache License Version 2.0. There are no subscription, licensing, or usage fees.

Source
MotherDuck: Is there a free plan and what are its limits?

Yes, the Lite plan is free for up to 3 internal active users and 2 service accounts, with 10GB of storage and 10 hours of Pulse compute per month.

Source
Apache Spark MLlib: What licensing does MLlib use?

MLlib is licensed under Apache License Version 2.0, making it freely available for all users regardless of organization size or use case.

Source
MotherDuck: How is usage metered?

Compute instances (Pulse, Standard, Jumbo, Mega, Giga) are billed per second at hourly rates from $0.60 to $24.00/hour, storage is $0.04/GB-month, and AI Functions cost $1.00 per AI Unit.

Source
Apache Spark MLlib: How do I use MLlib?

MLlib is built into Apache Spark. Download Spark, which includes MLlib as a module, and deploy on your choice of infrastructure including Hadoop, Mesos, Kubernetes, standalone, or cloud.

Source
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