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Ratings
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Pros & Cons
Self-serve data insights
Natural language insights interpretation
Clarifies user inquiries
Promotes real-time data collaboration
Shared data dictionaries
Supports remote work
Integration with Slack, Teams
Curated tailored datasets
Clear data usage guidelines
Intelligible SQL feature
Embeds company-specific metrics
Consistent terminology usage
Major data warehouses compatibility
Supports common file formats
Regularly adds new integration
AES-256 data credentials encryption
User-owned storage option
SSO and multi-factor authentication
Supports major identity providers
On-premise deployment option
Instant insight delivery
Integrated communication platform
Mitigates metric disagreement
Quality control for data
Enterprise-level security
Bank-grade encryption
BYOS (Bring Your Own Storage)
Encourages company-specific terminology
Real-time collaboration for understanding
Data analysis decision-making support
Limited integration options
Natural language understanding issues
Depends heavily on user input
No predictive modeling capabilities
Limited access control options
Query results reliant on external storage
No autonomous data discovery
Requires 'Intelligible SQL' understanding
Dependent on company-specific metrics embedding
Inflexible in regards to data sources
