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
- Data Unification
- Visualizations & Dashboards
- Insight Sharing
- Integrations
Pricing Info
Pricing Info
Luzmo offers plans ranging from starter to enterprise pricing. Here’s an overview:
Basic – $950/month (billed annually)
- 100 monthly active viewers included
- 1 monthly active designer included
Professional – $1,950/month (billed annually)
- 500 monthly active designers included
- 5 monthly active designers included
- Everything included in Basic
- Remove Luzmo branding
Elite – $2,950/month (billed annually)
- 1,000 monthly active designers included
- 30 monthly active designers included
- Remove Luzmo branding
- Whitelabel options
- Embedded Dashboard Editor
- Custom domain
- On-demand support
- Dedicated Customer Success Manager
Integrations
Integrations
Luzmo offers the following integrations:
Databases:
- MariaDB
- PostgreSQL
- MySQL
- SQL Server
- MongoDB
- Pipeline DB
- Clickhouse
- Azure Synapse
- ElasticSearch
- Oracle
- SAP HANA
Data Warehouses:
- Snowflake
- Panoply
- Amazon Athena
- Amazon Redshift
- Google BigQuery
Web services:
- Google Analytics
- Google Drive
Additionally, you can connect data from your own API or any public API in just a few lines of code.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
GiveSmart, Stad Antwerpen, Selligent
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
A data unification and visualization tool that lets you build powerful dashboards in minutes.
Company Email
support@luzmo.com
Company's Address
Cumul.io NV
Tiensevest 102 bus 201
Leuven, Flemish Region 3000
Belgium
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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
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All the data, details and experiences that we presented in this table were collated from official vendor websites, promotional resources available online, actual experience from real customers as well as our personal everyday use of every app by an expert. We put a lot of effort to extensively examine each solution, as a result we not only examine it internally, but we also match our findings with views of other users from the SaaS community.
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