Software · head to head
Dashlane vs Apache Spark MLlib
The short version
- Only Apache Spark MLlib has a free tier, so it costs nothing to try first.
- Each has a real cost: Dashlane highest pricing among major password managers at $60/year with no monthly subscription option; 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: Dashlane covers Password manager, Apache Spark MLlib covers Classification.
Where they differ
Only the attributes on which Dashlane and Apache Spark MLlib actually diverge.
| Attribute | Dashlane | Apache Spark MLlib |
|---|---|---|
| Starting price | $4.99/month | Free |
| Pricing model | Unknown | open-source |
| Free tier | No | Yes |
| Platforms | Web, Windows, macOS, iOS, Android, Browser Extensions | Linux, macOS, Windows |
| Founded | 2009 | 1999 |
Identical on both: user rating (Not yet rated), category (Unknown).
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 Dashlane
- Password manager
- Digital wallet
- Dark web monitoring
- VPN for WiFi protection
- Two-factor authentication
- Password generator
- Secure sharing
- Security dashboard
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.
Dashlane
- Password managementnot Apache Spark MLlib
- Identity protectionnot Apache Spark MLlib
- Secure credential sharingnot Apache Spark MLlib
- Compliance requirementsnot Apache Spark MLlib
- VPN protectionnot Apache Spark MLlib
Apache Spark MLlib
- Large-scale distributed machine learning on Spark clustersnot Dashlane
- Classification and regression with decision trees, random forests, gradient-boosted treesnot Dashlane
- Clustering with K-means and Gaussian Mixture Modelsnot Dashlane
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dashlane
- Highest pricing among major password managers at $60/year with no monthly subscription option
- Restricted free tier with only 25 passwords on single device compared to Bitwarden's unlimited free tier
- No traditional desktop application, users must rely on browser extension or mobile apps
- Closed-source code prevents independent security verification unlike open-source competitors
- Limited 2FA options supporting only authenticator apps, not biometric or SMS authentication
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
Dashlane
$4.99/month- Premium$4.99/month
- Secure vault
- Password generation
Apache Spark MLlib
FreeNo published plan breakdown. See the Apache Spark MLlib review.
Which should you pick?
Choose Dashlane if
- You need password manager.
- You work on Web, Windows, macOS, iOS, Android, Browser Extensions.
- You also want digital wallet.
Choose Apache Spark MLlib if
- You need classification.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want regression.
Questions people ask
- Is Dashlane or Apache Spark MLlib better?
- Neither clearly leads. Dashlane starts at $4.99/month and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dashlane or Apache Spark MLlib?
- Apache Spark MLlib has a free tier; the other does not. Paid plans start at $4.99/month for Dashlane and Free for Apache Spark MLlib.
- Does Dashlane or Apache Spark MLlib run on more platforms?
- Dashlane runs on Web, Windows, macOS, iOS, Android, Browser Extensions. Apache Spark MLlib runs on Linux, macOS, Windows.
- Can I use Apache Spark MLlib for free?
- Yes. Apache Spark MLlib has a free tier, so you can try it without paying. Dashlane starts at $4.99/month.
- What is Dashlane best used for?
- Dashlane is most often used for password management, identity protection, secure credential sharing, compliance requirements. Of those, password management and identity protection are not what Apache Spark MLlib is typically brought in for.
- What can Dashlane do that Apache Spark MLlib cannot?
- Dashlane covers Password manager, Digital wallet, Dark web monitoring, VPN for WiFi protection. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
Answered from the vendors’ own pages
Dashlane: What happened to Dashlane's free plan?
Dashlane discontinued its free plan in September 2025. The entry-level plan now starts at $4.99/month (billed annually) for Premium, or businesses can use a 30-day money-back guarantee to test the service.
SourceDashlane: What platforms does Dashlane support?
Dashlane is available on Windows, macOS, iOS, Android, and Chromebook. Browser extensions work with Chrome, Firefox, Edge, Opera, and Brave. However, Dashlane no longer has a traditional desktop application.
SourceDashlane: Does Dashlane support SSO integration?
Yes, Dashlane integrates with SAML 2.0 Identity Providers for SSO, plus SCIM for user provisioning and deprovisioning. However, the Safari browser extension does not support self-hosted SSO due to Apple limitations.
SourceRelated pages
More on Apache Spark MLlib
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