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Machine Learning · head to head

AWS SageMaker vs MariaDB

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
MariaDB logo

MariaDB

Databases

The open source relational database for the enterprise

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; MariaDB jSON support using text fields rather than native binary type; lacks MySQL's JSON syntax and functions
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, MariaDB covers MySQL Compatibility.

Where they differ

Only the attributes on which AWS SageMaker and MariaDB actually diverge.

Attributes where AWS SageMaker and MariaDB differ
AttributeAWS SageMakerMariaDB
PlatformsWebLinux, Unix, Windows, macOS
CategoryMachine LearningDatabases
Founded20062009

Identical on both: starting price (Free), pricing model (Unknown), 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 AWS SageMaker

  • Jupyter notebooks
  • Built-in algorithms
  • Automatic model tuning
  • One-click deployment
  • Model monitoring
  • S3
  • Lambda
  • Step Functions

Only in MariaDB

  • MySQL Compatibility
  • Aria Storage Engine
  • ColumnStore
  • Galera Cluster
  • MaxScale
  • Spider Engine
  • Temporal Tables
  • phpMyAdmin

What people use each for

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

AWS SageMaker

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

MariaDB

  • Transaction processingnot AWS SageMaker
  • Data storagenot AWS SageMaker
  • Application backendnot AWS SageMaker
  • Reportingnot AWS SageMaker
  • Data analyticsnot AWS SageMaker

Where each one falls short

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

AWS SageMaker

  • Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
  • Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
  • Does not include native job scheduling, requiring Lambda or EventBridge integration

MariaDB

  • JSON support using text fields rather than native binary type; lacks MySQL's JSON syntax and functions
  • Galera Cluster maximum performance limited to the slowest node in cluster
  • InnoDB tables limited to 1,017 columns and 64 secondary indexes
  • Transaction size limits in Galera (128K rows and 2GB by default)
  • Less strict SQL type checking than PostgreSQL; allows implicit conversions

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

MariaDB

Free

No published plan breakdown. See the MariaDB review.

Which should you pick?

Choose AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.
AWS SageMaker review

Choose MariaDB if

  • You need mysql compatibility.
  • You want to start without paying.
  • You work on Linux, Unix, Windows, macOS.
  • You also want aria storage engine.
MariaDB review

Questions people ask

Is AWS SageMaker or MariaDB better?
Neither clearly leads. AWS SageMaker starts at Free and MariaDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or MariaDB?
AWS SageMaker starts at Free and MariaDB at Free.
Does AWS SageMaker or MariaDB run on more platforms?
AWS SageMaker runs on Web. MariaDB runs on Linux, Unix, Windows, macOS.
Can I use AWS SageMaker for free?
Both have a free tier, so you can try either at no cost before committing.
What is AWS SageMaker best used for?
AWS SageMaker is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what MariaDB is typically brought in for.
What can AWS SageMaker do that MariaDB cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. MariaDB covers MySQL Compatibility, Aria Storage Engine, ColumnStore, Galera Cluster.

Answered from the vendors’ own pages

AWS SageMaker: What is AWS SageMaker used for?

AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.

Source
MariaDB: Is MariaDB completely free and open source?

Yes. MariaDB Server is licensed under GPLv2 and guaranteed to remain perpetually free and open source, independent of any commercial entities.

Source
AWS SageMaker: How is AWS SageMaker priced?

SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.

Source
MariaDB: Is MariaDB backward compatible with MySQL?

Yes. MariaDB was designed as a drop-in replacement for MySQL. Every application, driver, and configuration that worked with MySQL works with MariaDB without code changes.

Source
AWS SageMaker: Does AWS SageMaker have a free tier?

Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.

Source
MariaDB: What are the storage engine options in MariaDB?

MariaDB supports multiple storage engines including InnoDB (transactional, default), Aria (crash-safe, good for read-heavy workloads), and MyISAM. The Aria engine is faster than InnoDB for certain read-heavy queries and full table scans.

Source
MariaDB: How much does MariaDB cost?

MariaDB Community Server is completely free to download and use. MariaDB offers paid enterprise support and managed cloud services for organizations needing professional support.

Source
MariaDB: Does MariaDB support native JSON storage?

MariaDB stores JSON using text fields (the JSON type is an alias for LONGTEXT), not as a native binary type like MySQL does. JSON support exists but is less sophisticated than MySQL's JSON functions and syntax.

Source
MariaDB: What scaling options does MariaDB provide?

MariaDB supports both scaling up (more cores, memory, storage) and scaling out (read replication, Galera Cluster with multi-node replication). However, Galera Cluster performance cannot exceed the slowest node in the cluster.

Source
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