What is better Plat.AI or Dataiku DSS? If you’re having a difficult time deciding on the best Predictive Analysis Software product for your company, it’s a good idea to do a comparison of the available software and find out which tool offers more positive aspects. For example, here you can assess Plat.AI (overall score: 8.0; user rating: 96%) vs. Dataiku DSS (overall score: 8.7; user rating: 90%) for their overall performance.
You can even see which one provides more tools that you need or which has better pricing plans for your current budget constraints. Using a clear table to compare their features will significantly improve the odds of getting the right product for your company. Pay attention to other areas of the software for example if it’s easy to use, adaptability, scalability, and pricing terms.
We know that not all businesses have enough time to test dozens of different products, so we came up with a list of suggestions that you may find useful. Our top choices for the Predictive Analysis Software category are: Sisense, Wolfram Mathematica, Microsoft Azure Machine Learning Studio.
Plat.AI integrates with third-party platforms and systems.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
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
Plat.AI is an AI service that helps in the development and management of predictive models for companies to make better marketing, financial, and media forecasts and decisions.
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.
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
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Unilever, Loreal, Sephora
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.
Both Plat.AI and Dataiku DSS were reviewed by a team of reliable B2B experts who conducted a full analysis of all important elements of every solution. Their final score was calculated by means of unique SmartScore system that calculates an individual partial score to every element including: main functionalities, customer support, mobile support, security, user satisfaction and market presence. We realize useful features are not the only factor important to a business so we do our best to pay attention to all facets of a solution before calculating its final score.
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FinancesOnline is available for free for all business professionals interested in an efficient way to find top-notch SaaS solutions. We are able to keep our service free of charge thanks to cooperation with some of the vendors, who are willing to pay us for traffic and sales opportunities provided by our website. Please note, that FinancesOnline lists all vendors, we’re not limited only to the ones that pay us, and all software providers have an equal opportunity to get featured in our rankings and comparisons, win awards, gather user reviews, all in our effort to give you reliable advice that will enable you to make well-informed purchase decisions.
