Machine Learning · head to head
Dataiku vs MariaDB

MariaDB
Databases
The open source relational database for the enterprise
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; MariaDB jSON support using text fields rather than native binary type; lacks MySQL's JSON syntax and functions
- They diverge on capability: Dataiku covers Visual data prep, MariaDB covers MySQL Compatibility.
Where they differ
Only the attributes on which Dataiku and MariaDB actually diverge.
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 Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
Only in MariaDB
- MySQL Compatibility
- Aria Storage Engine
- ColumnStore
- Galera Cluster
- MaxScale
- Spider Engine
- Temporal Tables
- phpMyAdmin
Both cover
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Dataiku
- Building and deploying data science and machine learning pipelinesnot MariaDB
- Giving analysts and data scientists a shared visual and code environmentnot MariaDB
MariaDB
- Transaction processingnot Dataiku
- Data storagenot Dataiku
- Application backendnot Dataiku
- Reportingnot Dataiku
- Data analyticsnot Dataiku
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dataiku
- No pricing is published at any tier, and the plans page carries no figures at all
- User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
- Access begins with a demo request or a trial rather than a self serve signup
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
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
MariaDB
FreeNo published plan breakdown. See the MariaDB review.
Which should you pick?
Choose Dataiku if
- You need visual data prep.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want automl.
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.
Questions people ask
- Is Dataiku or MariaDB better?
- Neither clearly leads. Dataiku 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, Dataiku or MariaDB?
- Dataiku starts at Free and MariaDB at Free.
- Does Dataiku or MariaDB run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. MariaDB runs on Linux, Unix, Windows, macOS.
- Can I use Dataiku for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Dataiku best used for?
- Dataiku is most often used for building and deploying data science and machine learning pipelines, giving analysts and data scientists a shared visual and code environment. Of those, building and deploying data science and machine learning pipelines and giving analysts and data scientists a shared visual and code environment are not what MariaDB is typically brought in for.
- What can Dataiku do that MariaDB cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. MariaDB covers MySQL Compatibility, Aria Storage Engine, ColumnStore, Galera Cluster. Both handle Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
Dataiku: What are Dataiku pricing tiers and costs?
Dataiku pricing information is not available on their public website. Customers must contact Dataiku sales directly to request pricing, trial access, and licensing information.
SourceMariaDB: 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.
SourceDataiku: Does Dataiku offer a free tier or trial?
Free tier or trial availability for Dataiku cannot be determined from publicly accessible pages. Contact Dataiku directly to inquire about evaluation options.
SourceMariaDB: 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.
SourceMariaDB: 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.
SourceMariaDB: 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.
SourceMariaDB: 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.
SourceMariaDB: 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.
SourceRelated pages
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- Dataiku vs MotherDuck
- MariaDB vs AWS SageMaker
- MariaDB vs Google Vertex AI
- MariaDB vs Azure Machine Learning
- MariaDB vs DataRobot
- MariaDB vs MLflow
- MariaDB vs Snowflake
- MariaDB vs TensorFlow
- MariaDB vs Comet ML
- MariaDB vs Jupyter
- MariaDB vs LangChain
- MariaDB vs Pinecone
- MariaDB vs Python
- MariaDB vs PyTorch
- MariaDB vs scikit-learn
- MariaDB vs Apache Spark MLlib
- MariaDB vs Weaviate
- MariaDB vs Weights & Biases
- MariaDB vs Alteryx
- MariaDB vs Cockroach Labs
- MariaDB vs PostgreSQL
- MariaDB vs Airtable
- MariaDB vs Amazon Aurora
- MariaDB vs Elasticsearch
- MariaDB vs Apache Kafka
- MariaDB vs PlanetScale
- MariaDB vs Meilisearch
- MariaDB vs Turso
- MariaDB vs Azure SQL
- MariaDB vs ClickHouse
- MariaDB vs Couchbase
- MariaDB vs DuckDB
- MariaDB vs Oracle Database
- MariaDB vs DataGrip
- MariaDB vs Firebolt
- MariaDB vs Google Cloud SQL
- MariaDB vs MotherDuck

