Machine Learning · head to head
Orange vs PostgreSQL

PostgreSQL
Databases
The world's most advanced open source relational database
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Orange orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL; PostgreSQL requires manual scaling across multiple machines for very large deployments
- They diverge on capability: Orange covers Visual programming, PostgreSQL covers ACID Compliance.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Orange and PostgreSQL actually diverge.
| Attribute | Orange | PostgreSQL |
|---|---|---|
| Pricing model | open-source | Unknown |
| Platforms | Linux, Mac, Windows | Linux, Windows, macOS, BSD, Unix |
| Category | Machine Learning | Databases |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), founded (1996).
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 Orange
- Visual programming
- Data visualization
- Machine learning
- Text mining
- Bioinformatics
- Python
- scikit-learn
- PyQt
Only in PostgreSQL
- ACID Compliance
- JSON/JSONB Support
- Full-text Search
- Extensibility
- Advanced Indexing
- Partitioning
- Replication
- pgAdmin
Both cover
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Orange
- Visual programming for data mining and machine learning workflowsnot PostgreSQL
- Teaching data science without writing codenot PostgreSQL
- Exploratory data visualisation and clustering on tabular datanot PostgreSQL
PostgreSQL
- Transaction processingnot Orange
- Data storagenot Orange
- Application backendnot Orange
- Reportingnot Orange
- Data analyticsnot Orange
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Orange
- Orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL
- The widgets and canvas are built on Qt, which is itself distributed under GPL 3.0
- Orange add-ons may carry additional licensing requirements set in their own licence files
- Documentation and website content are under Creative Commons Attribution-ShareAlike, which imposes an attribution and share-alike obligation on reuse
- The software is distributed without any warranty of merchantability or fitness for a particular purpose
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
Orange
Free- Open SourceFree
- Visual programming
- Machine learning
- Data visualization
PostgreSQL
FreeNo published plan breakdown. See the PostgreSQL review.
Which should you pick?
Choose Orange if
- You need visual programming.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data visualization.
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 Orange or PostgreSQL better?
- Neither clearly leads. Orange 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, Orange or PostgreSQL?
- Orange starts at Free and PostgreSQL at Free.
- Does Orange or PostgreSQL run on more platforms?
- Orange runs on Linux, Mac, Windows. PostgreSQL runs on Linux, Windows, macOS, BSD, Unix.
- Can I use Orange for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Orange best used for?
- Orange is most often used for visual programming for data mining and machine learning workflows, teaching data science without writing code, exploratory data visualisation and clustering on tabular data. Of those, visual programming for data mining and machine learning workflows and teaching data science without writing code are not what PostgreSQL is typically brought in for.
- What can Orange do that PostgreSQL cannot?
- Orange covers Visual programming, Data visualization, Machine learning, Text mining. PostgreSQL covers ACID Compliance, JSON/JSONB Support, Full-text Search, Extensibility. Both handle Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
Orange: What is the cost of Orange Data Mining?
Orange Data Mining is free open-source software available for Windows, Mac, and other platforms. There are no subscription fees, licensing costs, or paid tiers.
SourcePostgreSQL: Is PostgreSQL completely free?
Yes. PostgreSQL is completely free and open source with no licensing fees or restrictions on use.
SourceOrange: How is Orange Data Mining funded?
Orange Data Mining is supported through optional voluntary donations. The project encourages donations from users who value the software to support bug fixes, new features, educational content, and infrastructure maintenance.
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.
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
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- PostgreSQL vs Azure Machine Learning
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- PostgreSQL vs Jupyter
- PostgreSQL vs Alteryx
- PostgreSQL vs JMP
- PostgreSQL vs RapidMiner
- PostgreSQL vs Weights & Biases
- PostgreSQL vs Dask
- PostgreSQL vs Fal AI
- PostgreSQL vs Groq
- PostgreSQL vs Haystack
- PostgreSQL vs IBM SPSS
- PostgreSQL vs MariaDB
- PostgreSQL vs Oracle Database
- PostgreSQL vs Microsoft SQL Server
- PostgreSQL vs IBM Db2
- PostgreSQL vs Cockroach Labs
- PostgreSQL vs DuckDB
- PostgreSQL vs Aiven
- PostgreSQL vs SQLite
- PostgreSQL vs Couchbase
- PostgreSQL vs QuestDB
- PostgreSQL vs FaunaDB
- PostgreSQL vs Firestore
- PostgreSQL vs Amazon Redshift
- PostgreSQL vs Apache Pinot
- PostgreSQL vs DataGrip
- PostgreSQL vs Apache Pulsar
- PostgreSQL vs Cassandra
- PostgreSQL vs CouchDB

