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  • Up to 5 users
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  • Files or open source databases
  • Up to 3 users
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For Small Teams

Everything in Free, plus:

  • Up to 5 users
  • 20+ database connectors
  • Process in-memory or in-database using Spark
  • Limited automation
  • Standard support
For Mid-Sized Teams

Everything in Discover, plus:

  • Up to 20 users
  • Unlimited & elastic computations with Kubernetes
  • Full automation, limited deployment
  • Advanced security
  • Silver customer service
Scalable Automation and Governance

Everything in Business, plus:

  • All database connectors
  • Full deployment capabilities
  • Isolation framework
  • Unlimited instances and resource governance
  • Gold customer service

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For Small Teams


For Mid-Sized teams


Scalable Automation and Governance

Visual interactive data preparation and data transformation
Visual machine learning and automated features preprocessing
Built-in charts and dashboards
Code notebooks and recipes
Custom web applications and plugins
Data Connectors
Smart incremental rebuild
Concurrent jobs Up to 3 Unlimited Unlimited Unlimited
Filesystem, FTP, HTTP, SSH, SFTP and cloud storage
PostgreSQL, MySQL
Editable datasets
Hadoop (HDFS)
Enterprise SQL (Oracle, MS SQL Server)
Analytic SQL (Vertica, Greenplum, Redshift, BigQuery, Snowflake)
NoSQL (MongoDB, Cassandra, Elasticsearch)
Teradata, Netezza, Exadata, Hana
Visual Transformation & Exploration
Visual interactive data preparation (80+ processors)
Visual transformations (Group, join, union, split, sampling, etc.)
15 built-in chart types
Visual interactive statistics
Custom web applications
In-database charts engine MySQL, PostgreSQL
Distributed charts engine (Impala & Athena)
Core Capabilities
Python, R, SQL, Shell
Notebook & IDE
Code Env & Git integration
Webapp, Rshiny, 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 Limited to allowed SQL databases
In-cluster processing Single Hadoop/Spark cluster (on-prem or cloud-managed) Multiple Kubernetes clusters resources for Spark, Hadoop, or in-memory computation Multiple Kubernetes clusters resources for Spark, Hadoop, or in-memory computation
Automatic Kubernetes clusters creation AWS, GCP, or Azure AWS, GCP, or Azure
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 triggers
Monitoring, notifications
Partitioning management
Real-time prediction API 2 API nodes only Serverless & unlimited
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
Plugins (use and contribute)
Support Community Standard Silver Gold
Gartner peerinsights

Dataiku DSS Scores an overall 4.9 out of 5 rating

based on 79 total ratings in the last 12 months for the DSMLP market, as of November 13th 2020

"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

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Great platform, great data science support
Data Scientist

Finance Industry

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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.