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Lindy vs Apache Spark MLlib

Lindy logo

Lindy

AI

AI teammate that automates work across your entire software stack

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: Lindy requires per-user subscription, which scales costs with team size; 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: Lindy covers Slack integration, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where Lindy and Apache Spark MLlib differ
AttributeLindyApache Spark MLlib
Pricing modelPer-user subscription with shared credit poolopen-source
PlatformsWeb, Slack, Email, MobileLinux, macOS, Windows
CategoryAIMachine Learning
FoundedUnknown1999

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 Lindy

  • Slack integration
  • Email automation
  • Meeting transcription
  • Scheduled routines
  • 1,000+ app integrations
  • Skill library
  • Editable memory
  • MCP support

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.

Lindy

  • Automating email and calendar management across teamsnot Apache Spark MLlib
  • Transcribing and summarizing meetings automaticallynot Apache Spark MLlib
  • Updating CRM systems with meeting notes and leadsnot Apache Spark MLlib
  • Generating daily reports and weekly briefsnot Apache Spark MLlib
  • Processing structured data from multiple applicationsnot Apache Spark MLlib

Apache Spark MLlib

  • Machine learningnot Lindy
  • Data sciencenot Lindy
  • Distributed computingnot Lindy

Where each one falls short

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

Lindy

  • Requires per-user subscription, which scales costs with team size
  • Limited free trial period of 7 days may not allow full evaluation
  • Credit system complexity could be confusing for new users
  • Not designed for technical teams as primary tool

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

Lindy

Free
  • Free TrialFree
    • 7-day free trial for new team members joining via Slack
  • Plus$29.99/month
    • 3,000 credits per month
    • Slack integration
    • Email automation
  • Pro$99.99/month
    • 15,000 credits per month
    • All Plus features
    • Advanced automation
  • Max$199.99/month
    • 35,000 credits per month
    • All Pro features
    • Priority support

Apache Spark MLlib

Free

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

Which should you pick?

Choose Lindy if

  • You need slack integration.
  • You want to start without paying.
  • You work on Web, Slack, Email, Mobile.
  • You also want email automation.
Lindy 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 Lindy or Apache Spark MLlib better?
Neither clearly leads. Lindy 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, Lindy or Apache Spark MLlib?
Lindy starts at Free and Apache Spark MLlib at Free.
Does Lindy or Apache Spark MLlib run on more platforms?
Lindy runs on Web, Slack, Email, Mobile. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Lindy for free?
Both have a free tier, so you can try either at no cost before committing.
What is Lindy best used for?
Lindy is most often used for automating email and calendar management across teams, transcribing and summarizing meetings automatically, updating crm systems with meeting notes and leads, generating daily reports and weekly briefs. Of those, automating email and calendar management across teams and transcribing and summarizing meetings automatically are not what Apache Spark MLlib is typically brought in for.
What can Lindy do that Apache Spark MLlib cannot?
Lindy covers Slack integration, Email automation, Meeting transcription, Scheduled routines. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

Lindy: How does Lindy maintain data privacy and security?

Lindy is SOC 2 Type II, GDPR, HIPAA, and PIPEDA compliant. Data is encrypted in transit and at rest. The platform never sells your data or uses it to train models. Enterprise plans include signed BAAs and audit logs.

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
Lindy: Can we start with a free trial?

New team members joining through Slack receive a 7-day free trial before being billed. Direct signups are charged immediately. There is no permanent free tier after the trial.

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
Lindy: How many applications can Lindy integrate with?

Lindy connects to over 1,000 applications including Gmail, Notion, HubSpot, GitHub, Stripe, and others, with support for Model Context Protocol servers for custom integrations.

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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