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Machine Learning · head to head

Azure Machine Learning vs InfluxDB

Azure Machine Learning logo

Azure Machine Learning

Machine Learning

Enterprise-grade machine learning service

From
Free
Rated
-
Full reviewWebsite
InfluxDB logo

InfluxDB

Logging

Purpose-built time series database for metrics and events

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; InfluxDB high-cardinality data causes memory pressure and performance degradation
  • They diverge on capability: Azure Machine Learning covers Automated ML, InfluxDB covers Time-series Storage.

Where they differ

Only the attributes on which Azure Machine Learning and InfluxDB actually diverge.

Attributes where Azure Machine Learning and InfluxDB differ
AttributeAzure Machine LearningInfluxDB
Pricing modelusage-basedUnknown
PlatformsAzure CloudCloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure
CategoryMachine LearningLogging
Founded19752012

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 Azure Machine Learning

  • Automated ML
  • Designer (drag-and-drop)
  • Notebooks
  • MLOps
  • Model registry
  • Azure Blob Storage
  • Azure DevOps
  • Power BI

Only in InfluxDB

  • Time-series Storage
  • Flux Query Language
  • High Write Throughput
  • Data Compression
  • Retention Policies
  • Continuous Queries
  • Built-in Dashboards
  • Telegraf

Both cover

  • Web support

What people use each for

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

Azure Machine Learning

  • Machine learningnot InfluxDB
  • Data analysisnot InfluxDB
  • Model trainingnot InfluxDB
  • Predictive analyticsnot InfluxDB

InfluxDB

  • Monitoringnot Azure Machine Learning
  • IoT datanot Azure Machine Learning
  • Financial datanot Azure Machine Learning
  • Log analyticsnot Azure Machine Learning
  • Observabilitynot Azure Machine Learning

Where each one falls short

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

Azure Machine Learning

  • Requires knowledge of Azure ecosystem and integration with other Azure services
  • Compute resources for training and inference generate separate charges

InfluxDB

  • High-cardinality data causes memory pressure and performance degradation
  • No support for joins or transactions like relational databases
  • Queries limited to 72-hour window in InfluxDB 3 OSS Core
  • Clustering and authentication features absent from community version

Pricing, plan by plan

Azure Machine Learning

Free
  • Free TierFree
    • Limited compute
    • Basic features
  • Pay-as-you-go$0.05/hour
    • Full platform
    • All compute options
    • Enterprise features

InfluxDB

Free
  • Cloud Serverless FreeFree
    • 5 MB writes per 5 minutes
    • 300 MB queries per 5 minutes
    • 30 day retention
  • Cloud Serverless Usage-Based$undefined/mo
    • 0.0025 USD per MB ingested
    • 0.012 USD per 100 queries
    • 0.002 USD per GB-hour storage

Which should you pick?

Choose Azure Machine Learning if

  • You need automated ml.
  • You want to start without paying.
  • You work on Azure Cloud.
  • You also want designer (drag-and-drop).
Azure Machine Learning review

Choose InfluxDB if

  • You need time-series storage.
  • You want to start without paying.
  • You work on Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure.
  • You also want flux query language.
InfluxDB review

Questions people ask

Is Azure Machine Learning or InfluxDB better?
Neither clearly leads. Azure Machine Learning starts at Free and InfluxDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure Machine Learning or InfluxDB?
Azure Machine Learning starts at Free and InfluxDB at Free.
Does Azure Machine Learning or InfluxDB run on more platforms?
Azure Machine Learning runs on Azure Cloud. InfluxDB runs on Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure.
Can I use Azure Machine Learning for free?
Both have a free tier, so you can try either at no cost before committing.
What is Azure Machine Learning best used for?
Azure Machine Learning is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what InfluxDB is typically brought in for.
What can Azure Machine Learning do that InfluxDB cannot?
Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. InfluxDB covers Time-series Storage, Flux Query Language, High Write Throughput, Data Compression. Both handle Web support.

Answered from the vendors’ own pages

Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?

No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.

Source
InfluxDB: Is there a free tier and what are the limits?

InfluxDB 3 Core OSS is free forever for local development and prototyping. Cloud Serverless free tier includes 5 MB writes per 5 minutes, 300 MB queries per 5 minutes, 30 day retention, and 2 databases.

Source
Azure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?

Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.

Source
InfluxDB: Can I self-host InfluxDB?

Yes, InfluxDB 3 Core is fully open source and can be self-hosted with no license required. InfluxDB 3 Enterprise is self-managed and includes a 30-day free trial.

Source
Azure Machine Learning: Does Azure ML support language model fine-tuning?

Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.

Source
InfluxDB: What are the series cardinality limitations?

InfluxDB is sensitive to high-cardinality data. High cardinality increases RAM usage and can trigger out-of-memory errors, making it unsuitable for some workloads with many unique tag combinations.

Source
Azure Machine Learning: What MLOps features are included?

Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.

Source
InfluxDB: Does InfluxDB support SQL queries?

InfluxDB has limited SQL support. Full SQL is available in InfluxDB 3, but earlier versions support only specific SQL commands and use InfluxQL as the primary query language.

Source
Azure Machine Learning: Can I access foundation models from multiple vendors?

Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.

Source
InfluxDB: Can I export my data from InfluxDB?

Yes, data can be exported from InfluxDB using query results. However, the process and supported formats depend on the version and deployment type you are using.

Source
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