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Compare Anaconda Enterprise vs Dataiku DSS

What is better Anaconda Enterprise or Dataiku DSS? If you need to have a quick way to decide which Predictive Analysis Software product is better, our proprietary method gives Anaconda Enterprise a score of 9.2 and Dataiku DSS a score of 8.7 for general quality and performance. Moreover, Anaconda Enterprise is rated at 96%, while Dataiku DSS is rated 100% for their user satisfaction level.

You can also examine their product details, including functions, tools, options, plans, costs, and much more. Check if the software can customize at least part of its workflows to make sure the software fits your own business processes.

Our experts made sure to review all popular Predictive Analysis Software products available on the market, but among all the ones we reviewed these three caught our special attention: Oracle Crystal Ball, Microsoft Azure Machine Learning Studio, Microsoft R Open.

NOAWARDS
YET

SmartScore™

OUR SCORE 9.2

User Satisfaction

CUSTOMER EXPERIENCE 96%

Pricing

By quote

Pricing Model

Free

Monthly payment

One-time payment

Annual Subscription

Quote-based

List of Features

  • Collaboration
  • Integrated Jupyter Data Science Environements
  • Browser-Based Notebook Collaboration
  • Versioning and Access Control
  • Manage and Share Data Science Projects and Dependencies
  • Scalable
  • Scalable Distribution of Computational Resources
  • Distribute Anaconda Libraries across Hadoop and Spark Clusters
  • Self-Service Deployment of Models, Notebooks, and Dashboards
  • One-Click Deployment
  • Remote Deployment to Hadoop or Spark Clusters
  • On-Premise And Cloud Deployments
  • Governance
  • On-Premise Data Science Package Repository
  • Control Packages, Versions, and Tools
  • License Filtering and Auditing
  • Event Logging and Tracking
  • Security
  • Integration with Identity Providers
  • TLS/SSL Encryption
  • Centralized User, Role, or Group-Based Access Control Management and Confuguration
  • Token-Based Access to Data Science Models and Applications

Pricing Info

Anaconda Enterprise’s SMB and enterprise pricing plan information is available only upon request. Please contact the sales team. and get your quote.

Languages Supported

English

Chinese

German

Hindi

Japanese

Spanish

French

Russian

Italian

Dutch

Portugese

Polish

Turkish

Swedish

Prominent Clients

General Electric

Integrations

Anaconda Enterprise supports integration with the following big data frameworks, data management solutions, identity providers, and cloud services:

  • Jupyter Notebooks
  • JupyterLab
  • Cloudera
  • Hortonworks
  • LDAP
  • Active Directory
  • SAML
  • Kerberos
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud

Available Devices

Windows

Linux

Android

iPhone/iPad

Mac

Web-based

Windows Mobile

Company Size

Small Business

Large Enterprises

Medium Business

Freelancers

Available Support

email

phone

live support

training

tickets

General Info

A modern, dynamic, and industry-leading data science solution that helps data scientists, data analysts, and teams build, govern, and automate machine-learning data science models and pipelines across compute and server clusters; providing them with the ability to share models, resources, browser-based notebooks, and dashboards though integrated data science environments, collaborate on their projects in real time, and facilitate deployments.

Company Email

info@anaconda.com

Contact No.

Company's Address

Anaconda, Inc.
221 W. 6th St, Suite 1550
Austin, Texas 78701
USA

NOAWARDS
YET

SmartScore™

OUR SCORE 8.7

User Satisfaction

CUSTOMER EXPERIENCE 100%

Pricing

By quote

Pricing Model

Free

Monthly payment

One-time payment

Annual Subscription

Quote-based

List of Features

  • Connectivity
  • Data Wrangling
  • Machine Learning
  • Data Mining
  • Data Visualization
  • Data Flow
  • Models In Production
  • Workflows Deployment
  • Code Or Click
  • Collaboration
  • Governance and Security

Pricing Info

Details on SMB and enterprise pricing for Dataiku DSS are not publicly available. Interested buyers may contact a sales representative to request for a customized quotation.

Languages Supported

English

Chinese

German

Hindi

Japanese

Spanish

French

Russian

Italian

Dutch

Portugese

Polish

Turkish

Swedish

Prominent Clients

Unilever, Loreal, Sephora

Integrations

Dataiku DSS integrates with the following business systems and applications:

  • Algolia Search
  • Amazon Redshif
  • Amazon S3
  • Cassandra
  • CSV
  • ElasticSearch
  • EMC Greenplum
  • Exadata
  • Freshdesk
  • FTP / HTTP / SCP / SFTP
  • GeoJSON
  • Github
  • Google Sheets
  • Hadoop
  • Hipchat
  • HP Vertica
  • Import.io
  • JSON
  • MongoDB
  • MS Excel
  • MS Power BI
  • MS SQL Server
  • MySQL
  • OpenStreetMap
  • Oracle
  • Pipedrive
  • PostgreSQL
  • SAS
  • Shapefile
  • Tableau
  • Teradata

Available Devices

Windows

Linux

Android

iPhone/iPad

Mac

Web-based

Windows Mobile

Company Size

Small Business

Large Enterprises

Medium Business

Freelancers

Available Support

email

phone

live support

training

tickets

General Info

A collaborative data science platform designed to help scientists, analysts, and engineers explore, prototype, build, and deliver their own data products with maximum efficiency.

Company Email

Contact No.

Company's Address

Dataiku Headquarters
26 Broadway (22nd Floor)
New York, NY 10004
USA

You don’t want exclusively a broad range of functionalities and scalable pricing from a well-known Predictive Analysis Software. Almost as significant as main features is a trustworthy customer support. You want to ensure that in a situation where you have any questions about Anaconda Enterprise or Dataiku DSS, or you struggle with some problems, or maybe you’ll need to request a certain change or feature useful to your team you can rely on a responsive and helpful customer support. See if options such as phone support, tickets or live chat are offered. What is more, it’s a significant advantage if you can profit from individual training or at least an FAQ you can use.

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