Machine Learning · head to head
AWS SageMaker vs PostgreSQL
AWS SageMaker
Machine Learning
Build, train, and deploy machine learning models at scale
- From
- Free
- Rated
- -
PostgreSQL
Databases
The world's most advanced open source relational database
- From
- Free
- Rated
- -
The short version
- Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; PostgreSQL requires manual scaling across multiple machines for very large deployments
- They diverge on capability: AWS SageMaker covers Jupyter notebooks, PostgreSQL covers ACID Compliance.
Where they differ
Only the attributes on which AWS SageMaker and PostgreSQL actually diverge.
| Attribute | AWS SageMaker | PostgreSQL |
|---|---|---|
| Platforms | Web | Linux, Windows, macOS, BSD, Unix |
| Category | Machine Learning | Databases |
| Founded | 2006 | 1996 |
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 PostgreSQL
- ACID Compliance
- JSON/JSONB Support
- Full-text Search
- Extensibility
- Advanced Indexing
- Partitioning
- Replication
- pgAdmin
What people use each for
The jobs each tool is most often brought in to do.
AWS SageMaker
- Machine learningnot PostgreSQL
- Data analysisnot PostgreSQL
- Model trainingnot PostgreSQL
- Predictive analyticsnot PostgreSQL
PostgreSQL
- 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
PostgreSQL
- Requires manual scaling across multiple machines for very large deployments
- Performance tuning requires deep knowledge of database internals
- No built-in graphical admin interface; command-line tools are primary method
Pricing, plan by plan
AWS SageMaker
FreeNo published plan breakdown. See the AWS SageMaker review.
PostgreSQL
FreeNo published plan breakdown. See the PostgreSQL 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.
Choose PostgreSQL if
- You need acid compliance.
- You want to start without paying.
- You work on Linux, Windows, macOS, BSD, Unix.
- You also want json/jsonb support.
Questions people ask
- Is AWS SageMaker or PostgreSQL better?
- Neither clearly leads. AWS SageMaker starts at Free and PostgreSQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, AWS SageMaker or PostgreSQL?
- AWS SageMaker starts at Free and PostgreSQL at Free.
- Does AWS SageMaker or PostgreSQL run on more platforms?
- AWS SageMaker runs on Web. PostgreSQL runs on Linux, Windows, macOS, BSD, Unix.
- 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 PostgreSQL is typically brought in for.
- What can AWS SageMaker do that PostgreSQL cannot?
- AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. PostgreSQL covers ACID Compliance, JSON/JSONB Support, Full-text Search, Extensibility.
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.
SourcePostgreSQL: Is PostgreSQL completely free?
Yes. PostgreSQL is completely free and open source with no licensing fees or restrictions on use.
SourceAWS 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.
SourcePostgreSQL: What platforms does PostgreSQL run on?
PostgreSQL runs on all major operating systems including Linux, Windows, macOS, BSD, and commercial Unix variants, and has been proven highly scalable managing terabytes to petabytes of data.
SourceAWS 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.
SourcePostgreSQL: What procedural languages are supported?
PostgreSQL supports stored functions and procedures in multiple languages including PL/pgSQL, Perl, Python, Tcl, Java, JavaScript, R, and Rust.
SourcePostgreSQL: What is ACID compliance in PostgreSQL?
PostgreSQL has been ACID-compliant since 2001, ensuring data integrity through atomicity, consistency, isolation, and durability guarantees for all transactions.
SourcePostgreSQL: Does PostgreSQL support JSON data?
Yes. PostgreSQL supports JSON and JSONB data types for storing and querying JSON documents, along with XML and other document formats.
SourceRelated pages
More on AWS SageMaker
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- PostgreSQL vs Comet ML
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- PostgreSQL vs Apache Spark MLlib
- PostgreSQL vs Weaviate
- PostgreSQL vs Weights & Biases
- PostgreSQL vs Alteryx
- PostgreSQL vs Anaconda
- PostgreSQL vs Cockroach Labs
- PostgreSQL vs Airtable
- PostgreSQL vs Amazon Aurora
- PostgreSQL vs Elasticsearch
- PostgreSQL vs Apache Kafka
- PostgreSQL vs PlanetScale
- PostgreSQL vs Meilisearch
- PostgreSQL vs Turso
- PostgreSQL vs Azure SQL
- PostgreSQL vs ClickHouse
- PostgreSQL vs Couchbase
- PostgreSQL vs DuckDB
- PostgreSQL vs MariaDB
- PostgreSQL vs Oracle Database
- PostgreSQL vs DataGrip
- PostgreSQL vs Firebolt
- PostgreSQL vs Google Cloud SQL
- PostgreSQL vs MotherDuck