Plans and Features
Free Edition
Install it Free Forever
Up to 3 users
Access files or open source databases
Installed on your infrastructure
Visual data preparation
Download now on Mac, Linux, or Virtual Machine
Free Forever
Discover
For Small Teams
Up to 5 users
20+ database connectors
Process in-memory or in-database using Spark
Limited automation
Business
For Mid-Sized Teams
Up to 20 users
Unlimited & elastic computations with Kubernetes
Full automation, limited deployment
Advanced security
Enterprise
Scalable Automation and Governance
All database connectors
Full deployment capabilities
Isolation framework
Unlimited instances and resource governance
Discover How Our Plans Compare
Detailed Features
Free
Discover
Business
Enterprise
Install it Free Forever
For Small Teams
CONTACT US
For Mid-Sized teams
CONTACT US
Scalable Automation and Governance
CONTACT US
Basics
Visual Interactive data preparation and data transformation
Visual Machine Learning and automated features preprocessing
Builtin charts and dashboards
Code notebooks and recipes
Custom web applications and plugins
Collaboration
DEPLOYMENT OPTIONS
Hosted by Dataiku (SaaS)
Install and run on your cloud
AWS, Azure and GCP
AWS, Azure and GCP
AWS, Azure and GCP
AWS, Azure and GCP
Install and run on premises
DATA CONNECTORS
Smart incremental rebuild
Filesystem, FTP, HTTP, SSH, SFTP and cloud storage
PostgreSQL, MySQL
Editable datasets
NoSQL (MongoDB, Cassandra, Elasticsearch)
Hadoop (HDFS)
Enterprise SQL (Oracle, MS SQL Server)
Analytic SQL (Vertica, Greenplum, Redshift, BigQuery, Snowflake)
Teradata, Netezza, Exadata, Hana
VISUAL TRANSFORMATION & EXPLORATION
Visual Interactive data preparation (80+ processors)
Visual transformations (Group, join, union, split, sampling, ...)
15 builtin chart types
Visual Interactive Statistics
Dashboards
Custom web applications
In-database charts engine
MySQL, PostgreSQL
Distributed charts engine (Impala & Athena)
CODE CAPABILITIES
Python, R, SQL, Shell
Notebook & IDE
Code Env & Git integration
Webapp: Shiny, Dash, Bokeh
Spark code (PySpark, SparkR, SparkSQL)
Hadoop code (Hive, Impala)
COMPUTING INFRASTRUCTURE
In-memory processing
In-database processing
MySQL, PostgreSQL
Limited to allowed SQL databases as per above
Limited to allowed SQL databases as per above
Fully-managed Elastic Compute (powered by Kubernetes)
Compute on Traditional or Cloud Hadoop
Cloudera
Compute on unmanaged Kubernetes clusters
MACHINE LEARNING
Visual ML: regression, classification, clustering
Automated features preprocessing
Custom Python algorithms
In-memory engines
Distributed engine: Spark
PRODUCTION & AUTOMATION
ML models versioning
Batch scoring
In-memory only
Custom user interfaces with hosted webapps
Pipeline Scheduling
Up to 2 scheduled scenarios
Monitoring, notifications
Partitioning management
Realtime prediction API
Up to 5 deployed models
Unlimited
Model PMML and JAR export
TEAM & COLLABORATION
Multi-users
Up to 3
Up to 5
Up to 20
Unlimited
Discussion and wikis
Change management
Role-based security
LDAP support
SSO support
Isolation runtime security
MORE
Plugins (use and contribute)
Community & Academy
Dataiku Scores an overall 4.8 out of 5 rating
Based on 249 ratings for the DSMLP market, as of March 1, 2022
"An excellent product which just keeps getting better"
Data Science Manager
Retail Industry
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"Great tool to enable analytic teams to the next level"
Data Scientist
Healthcare Industry
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"Must have, simple but powerful, efficient, scale!"
Data Engineers Manager
Manufacturing Industry
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"Smart and collaborative tool, an accelerator to AI"
Head of data science
Manufacturing Industry
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"An impressive Data Science platform backed by an excellent team"
Data Scientist
Services Industry
Read Full Review
Great platform, great data science support
Data Scientist
Finance Industry
Read Full Review
The Gartner Peer Insights Logo is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. All rights reserved. Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences and do not represent the views of Gartner or its affiliates.