What is better Sisense for Cloud Data Teams or DataWeave Retail Intelligence? When looking for the best Business Intelligence Software for your enterprise it is recommended that you review the characteristics, rates, and other critical details regarding the product and vendor. Here, you can examine the parallels and distinctions between Sisense for Cloud Data Teams (overall score at 9.5 and user satisfaction at 98%) and DataWeave Retail Intelligence (overall score at 8.0 and user satisfaction at N/A%).
You may also check out their unique details, for example services, plans, costs, terms and conditions, etc. What is more, read the terms closely for information on hidden costs, including, setup cost, separate support plan, upgrade fees, cloud storage fees, and more.
Our experts made sure to review all popular Business Intelligence Software solutions available on the market, but among them these three deserved our special attention: Sisense for Cloud Data Teams, Looker, Sisense.
Sisense for Cloud Data Teams currently offers quote-based plans. For more details, you can contact the vendor and request a quote. You can also sign up for the free trial option so you can try the product first before deciding to purchase.
Sisense for Cloud Data Teams integrates with the following applications:
PostgreSQL
MySQL
SQL Server
Oracle Database
MemSQL
Amazon Redshift
Vertica
Google BigQuery
Snowflake
Teradata
Segment SQL
Amplitude
Exasol
Salesforce
Amazon Athena
Presto
Qubole
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Adobe, Spotify, and Tinder
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
An advanced analytics solution for managing, analyzing, and visualizing data sources. Its reusable formulas and ad-hoc analysis modeling help organizations pinpoint important data points in minutes. It supports R, Python, and SQL in one platform, allowing these organizations to generate more advanced analytics in the programming language of their choice.
In case you continue having second thoughts about which product will work best for your company it might be a good idea to examine each service’s social metrics. These metrics are quite often a way to see how popular each software is and how wide is its online presence. For instance Sisense for Cloud Data Teams Twitter profile has currently 6352 followers. At the same time DataWeave Retail Intelligence Twitter is followed by 369 users.
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