Sisense for Cloud Data Teams
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Predictive analytics
- Sentiment and Word Analytics
- Search
- Performance Management
- Mobile
- Write-Back
- High-Performance Data Store
- Data Discovery
- Reporting
- Dashboards
- Location Analytics
- Casting and Archiving
- In-Document Analytics
Pricing Info
Pricing Info
Contact Information Builders for enterprise pricing information and other product details. You can also submit a request for a demo to see if the software is a perfect fit for your business.
Integrations
Integrations
WebFocus has hundreds of integrations available, ranging from applications (such as Salesforce and SAP), relational databases and Big Data sources (such as Hive, Athena, and HBase) to legacy systems (such as IMS and IDMS).
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
LifeWatch, ABC Financial, Chrome River Technologies
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
Flexible, pervasive BI and analytics platform, able to deliver a broad range of governed analytical tools, applications, reporting, and documents to all business stakeholders.
Company Email
askinfo@ibi.com
Contact No.
Company's Address
2 Pennsylvania Plaza # 28
New York, NY 10121
USA
WebFOCUS Comparisons
Popular WebFOCUS Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Data Engine
- Data Preparation
- Managed Redshift Warehouse
- Cloud Data Storage
- Data Cleansing
- Predictive Analytics
- Data Discovery and Mining
- Prototyping
- Drag-and-Drop Interface
- Natural Language Processing
Pricing Info
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.
Integrations
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
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.
Company Email
info@sisense.com
Contact No.
Company's Address
Sisense for Cloud Data Teams
1359 Broadway, 4th Floor
New York, NY, 10018
United States
Sisense for Cloud Data Teams Comparisons
Popular Sisense for Cloud Data Teams Alternatives
No Business Intelligence Software will be perfect enough to cover all the requirements of a business. While key features of WebFOCUS and Sisense for Cloud Data Teams should matter you should also carefully explore the integrations offered by every software. Very often your team will already be making use of other types of B2B software in your company and it’s definitely better to go with software that integrate well with each other. With that approach you will be able to be certain of an effortless transfer of information between your teams and software used, which can really reduce time wasted on migrating between one product and the other.
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