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Machine Learning · head to head

Orange vs Presto

Orange logo

Orange

Machine Learning

Data mining and visualization toolkit

From
Free
Rated
-
Presto logo

Presto

Databases

The Meta-lineage distributed SQL query engine, distinct from the Trino fork

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; Presto the original creators and most of the active contributor base left for Trino in 2020, so Presto has the smaller community, fewer connectors and slower feature delivery of the two branches.
  • They diverge on capability: Orange covers Visual programming, Presto covers Federated querying.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Orange and Presto actually diverge.

Attributes where Orange and Presto differ
AttributeOrangePresto
Pricing modelopen-sourceOpen source, no licence fee
PlatformsLinux, Mac, WindowsLinux, Docker, Kubernetes
CategoryMachine LearningDatabases
Founded1996Unknown

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 Orange

  • Visual programming
  • Data visualization
  • Machine learning
  • Text mining
  • Bioinformatics
  • Python
  • scikit-learn
  • PyQt

Only in Presto

  • Federated querying
  • In-memory execution
  • Open table format support
  • Presto C++ workers
  • ANSI SQL
  • Pluggable connectors

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 Presto
  • Teaching data science without writing codenot Presto
  • Exploratory data visualisation and clustering on tabular datanot Presto

Presto

  • An existing PrestoDB estate that needs continued upgrades rather than a migration to Trinonot Orange
  • A team buying IBM watsonx.data, where Presto is the underlying query enginenot Orange
  • Joining a Hive or Iceberg lake to an operational PostgreSQL database in one query without an ETL stepnot Orange
  • Very large scale interactive SQL where the Meta-tested branch is a specific requirementnot 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

Presto

  • The original creators and most of the active contributor base left for Trino in 2020, so Presto has the smaller community, fewer connectors and slower feature delivery of the two branches.
  • Documentation, tutorials and Stack Overflow answers for the two projects are frequently mixed up, and a solution written for Trino often does not apply, which costs real debugging time.
  • It is a query engine with no storage of its own, so query performance is dictated by your file layout, partitioning and statistics, and a badly organised lake makes Presto look slow.
  • Memory-bound execution means a single large join can fail the whole query rather than spilling gracefully, and tuning cluster memory settings is a persistent operational chore.
  • Commercial support has consolidated into IBM since the Ahana acquisition, so the independent vendor market that once existed around Presto is largely gone.

Pricing, plan by plan

Orange

Free
  • Open SourceFree
    • Visual programming
    • Machine learning
    • Data visualization

Presto

Free
  • PrestoFree
    • Apache 2.0 licence
    • Presto Foundation governance under the Linux Foundation
    • No node or query limits

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 Presto if

  • You need federated querying.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes.
  • You also want in-memory execution.

Questions people ask

Is Orange or Presto better?
Neither clearly leads. Orange starts at Free and Presto at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Orange or Presto?
Orange starts at Free and Presto at Free.
Does Orange or Presto run on more platforms?
Orange runs on Linux, Mac, Windows. Presto runs on Linux, Docker, Kubernetes.
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 Presto is typically brought in for.
What can Orange do that Presto cannot?
Orange covers Visual programming, Data visualization, Machine learning, Text mining. Presto covers Federated querying, In-memory execution, Open table format support, Presto C++ workers.

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.

Source
Presto: Is this Presto or Trino?

This is PrestoDB, the branch that stayed at Facebook and moved to the Linux Foundation. Trino is the 2020 fork by the original creators.

Orange: 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.

Source
Presto: Which should I choose for a new project?

Trino, in most cases. It has the larger community, more connectors and more commercial options.

Presto: Who maintains Presto now?

Principally Meta, Uber and IBM, which acquired the Presto vendor Ahana in 2023.

Presto: Is it still actively released?

Yes, releases continue on a regular cadence under the Presto Foundation.

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