Logging · head to head
New Relic vs Apache Spark MLlib

Apache Spark MLlib
Machine Learning
Scalable machine learning on Apache Spark
- From
- Free
- Rated
- -
The short version
- Each has a real cost: New Relic data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult; 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: New Relic covers APM, Apache Spark MLlib covers Classification.
Where they differ
Only the attributes on which New Relic and Apache Spark MLlib actually diverge.
| Attribute | New Relic | Apache Spark MLlib |
|---|---|---|
| Pricing model | Unknown | open-source |
| Platforms | Web, Api, Mobile | Linux, macOS, Windows |
| Category | Logging | Machine Learning |
| Founded | 2008 | 1999 |
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 New Relic
- APM
- Infrastructure Monitoring
- Log Management
- Browser Monitoring
- Synthetic Monitoring
- Mobile Monitoring
- Kubernetes Monitoring
- AI Ops
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.
New Relic
- Application monitoringnot Apache Spark MLlib
- Infrastructure monitoringnot Apache Spark MLlib
- Error trackingnot Apache Spark MLlib
- Performance optimizationnot Apache Spark MLlib
Apache Spark MLlib
- Machine learningnot New Relic
- Data sciencenot New Relic
- Distributed computingnot New Relic
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
New Relic
- Data ingest costs can be high for large-scale deployments with high logging volume, making budgeting difficult
- Core user licensing model adds complexity to pricing with distinction between full platform users and basic users
- Default logs obfuscation may miss some sensitive patterns requiring custom configuration
- Retention limits even on paid tiers require additional storage for long-term compliance requirements
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
New Relic
FreeNo published plan breakdown. See the New Relic review.
Apache Spark MLlib
FreeNo published plan breakdown. See the Apache Spark MLlib review.
Which should you pick?
Choose New Relic if
- You need apm.
- You want to start without paying.
- You work on Web, Api, Mobile.
- You also want infrastructure monitoring.
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 New Relic or Apache Spark MLlib better?
- Neither clearly leads. New Relic 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, New Relic or Apache Spark MLlib?
- New Relic starts at Free and Apache Spark MLlib at Free.
- Does New Relic or Apache Spark MLlib run on more platforms?
- New Relic runs on Web, Api, Mobile. Apache Spark MLlib runs on Linux, macOS, Windows.
- Can I use New Relic for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is New Relic best used for?
- New Relic is most often used for application monitoring, infrastructure monitoring, error tracking, performance optimization. Of those, application monitoring and infrastructure monitoring are not what Apache Spark MLlib is typically brought in for.
- What can New Relic do that Apache Spark MLlib cannot?
- New Relic covers APM, Infrastructure Monitoring, Log Management, Browser Monitoring. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.
Answered from the vendors’ own pages
New Relic: Does New Relic offer a free tier?
Yes, New Relic's free tier is perpetual with no credit card required. It includes 100 GB of free data ingest monthly, one Full Platform User with access to all 50+ capabilities, and unlimited Basic Users for querying and dashboard creation.
SourceApache 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.
SourceNew Relic: How much does New Relic cost for paid plans?
Paid plans start at $49 per month per core user. New Relic uses consumption-based pricing where you pay only for what you use. Annual commitment options are available with volume discounts for larger teams.
SourceApache 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.
SourceNew Relic: What data retention is included in New Relic's free tier?
The free tier includes a minimum of 8 days data retention for troubleshooting. Paid plans offer extended retention periods and customizable data retention policies.
SourceApache 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.
SourceNew Relic: How many integrations does New Relic support?
New Relic provides access to 780+ integrations and unlimited hosts at no additional cost. These include monitoring integrations for various cloud services, databases, and applications.
SourceNew Relic: Can I use New Relic to monitor multiple cloud providers?
Yes, New Relic is cloud-agnostic and supports monitoring across AWS, Google Cloud, Azure, and on-premises infrastructure in a single platform.
SourceNew Relic: What is New Relic's ownership structure today?
New Relic was acquired by TPG and Francisco Partners on July 31, 2023, for $6.5 billion and transitioned from a publicly traded company to a private company in November 2023.
SourceRelated pages
More on Apache Spark MLlib
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- Apache Spark MLlib vs Elastic Stack
- Apache Spark MLlib vs Datadog Logs
- Apache Spark MLlib vs Coralogix
- Apache Spark MLlib vs Grafana Loki
- Apache Spark MLlib vs incident.io
- Apache Spark MLlib vs Cronitor
- Apache Spark MLlib vs FireHydrant
- Apache Spark MLlib vs Healthchecks
- Apache Spark MLlib vs Openstatus
- Apache Spark MLlib vs Rootly
- Apache Spark MLlib vs Checkly
- Apache Spark MLlib vs CloudWatch
- Apache Spark MLlib vs Dynatrace
- Apache Spark MLlib vs InfluxDB
- Apache Spark MLlib vs Airbrake
- Apache Spark MLlib vs AppDynamics
- Apache Spark MLlib vs Axiom
- Apache Spark MLlib vs Azure Monitor
- Apache Spark MLlib vs AWS SageMaker
- Apache Spark MLlib vs Google Vertex AI
- Apache Spark MLlib vs Azure Machine Learning
- Apache Spark MLlib vs DataRobot
- Apache Spark MLlib vs MLflow
- Apache Spark MLlib vs Snowflake
- Apache Spark MLlib vs TensorFlow
- Apache Spark MLlib vs Comet ML
- Apache Spark MLlib vs Jupyter
- Apache Spark MLlib vs LangChain
- Apache Spark MLlib vs Pinecone
- Apache Spark MLlib vs Python
- Apache Spark MLlib vs PyTorch
- Apache Spark MLlib vs scikit-learn
- Apache Spark MLlib vs Weaviate
- Apache Spark MLlib vs Weights & Biases
- Apache Spark MLlib vs Alteryx
- Apache Spark MLlib vs Anaconda

