What is better Dataiku DSS or Sisense? Finding the proper Predictive Analysis Software product is as easy as assessing the good and weak characteristics and terms offered by Dataiku DSS and Sisense. Here it's also possible to match their overall scores: 8.7 for Dataiku DSS vs. 9.7 for Sisense. Or you can verify their general user satisfaction rating, 90% for Dataiku DSS vs. 99% for Sisense.
We suggest that you spend some time to review their differences and figure out which one is the better choice for your business. Moreover. remember to factor in your company’s or industry’s special circumstances, for example, a multilingual app for a global team or a mobile platform to help you work in the field.
Users who are pressed for time or would like to get a Predictive Analysis Software suggestion from our experts might want to examine these top choices for the current year: Wolfram Mathematica, Microsoft Azure Machine Learning Studio, Sisense.
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.
Sisense pricing is offered on a by quote basis. The vendor provides a flexible annual pricing plan that is scalable and caters to companies of various shapes and sizes. Specific rates are available upon request. Depending on the size of your company and the scale of your operations you’ll receive a proper quote adjusted to your specific needs. If you want to get more details about the enterprise pricing of Sisense you can request a quote here.
There is also a great free trial plan that allows you to test the software’s capabilities and see how profitable it can be for your company. You can easily sign up for Sisense free trial here.
Sisense provides APIs and additional developer tools that let you interact with the Sisense platform. These tools give you more options and flexibility for managing, enhancing and customizing the functionality and user experience of the Sisense platform.
Applications:
Salesforce
Zendesk
QuickBase
Google Adwords
Google Analytics
Google Spreadsheets
Amazon Redshift
Heroku Postgres
Database Servers:
MS SQL Server
Oracle Database
MySQL Database
PostgreSQL
DB2
Generic ODBC Driver
Generic OleDB Driver
ERP
MongoDB
Machine Data:
Splunk
Big Data Sources:
Hadoop Hive
Teradata
Custom:
Custom SQL expression
Social networks via RSSBus
Common CRMs via RSSBus
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Skullcandy, Nasdaq, Air Canada, MarcomCentral
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 leading and award-winning software for preparing, analyzing, visualizing, and organizing data for your business. Sisense brings innovative and intelligent technology designed to address inquiries directly through a single channel, as well as gather and present your data as relevant insights that you can share using interactive dashboards.
In case you continue having second thoughts about which solution will perform best for your business it may be a sound idea to analyze each service’s social metrics. These metrics are quite often an indicator of how popular each service is and how big is its online presence. For instance, in case of Facebook Dataiku DSS has 967 likes on their official page while Sisense profile is liked by 6402 users.
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