Steep
UnclaimedModern analytics platform powered by metrics that changes how companies use data together.
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What is Steep?
Steep (business intelligence): Modern analytics platform powered by metrics that changes how companies use data together. Steep is a modern analytics platform designed to democratize data access and analysis across an entire organization. It acts as a central hub for all metrics, leveraging a semantic layer to ensure consistent definitions and version control. Key capabilities: Native semantic layer with metrics catalog, Multi-layered analysis for deep insights, Drag-and-drop report builder with text and graph blocks, Mobile app (iOS and Android), User roles, private metrics, and resource-level sharing. Steep ships a free plan plus paid tiers that unlock as usage grows. Buyers most often compare Steep against Microsoft Power BI, Tableau, Hex.
TL;DR - Steep
- Centralizes all company metrics in one platform for consistent definitions.
- Enables all employees to analyze data without SQL, fostering data-driven decisions.
- Integrates with dbt and Cube for version-controlled, semantic metric definitions.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Democratizes data access and analysis for non-technical users.
- Ensures consistent metric definitions across the organization.
- Facilitates collaboration and faster decision-making with shared reports.
- Reduces dependency on data teams for ad-hoc analysis.
- Integrates with modern data stack tools like dbt and Cube.
Cons
- No lower-priced viewer licenses, though volume discounts are available.
- Some features like multiple data sources and advanced user management are only available in higher-tier plans or coming soon.
Preview
Key Features
Native semantic layer with metrics catalogMulti-layered analysis for deep insightsDrag-and-drop report builder with text and graph blocksMobile app (iOS and Android)User roles, private metrics, and resource-level sharingdbt Cloud and Cube integrationsCustom SQL for bespoke metricsVarious visualization types (line, bar, rank, combo, targets, big number, widgets)
Pricing Plans
Free TrialPro
$15/seat/month
- Unlimited reports
- Up to 80 metrics
- All visualisations and tables
- Native semantic layer
- Metrics catalog
- Row-level entities
- Caching layer
- dbt Cloud and Cube integrations
- Slack integration
Business
$25/seat/month
- Everything in Pro
- Unlimited metrics
- Private metrics and teams
- Advanced cache controls
- Usage analytics
- SAML SSO / Okta / Azure AD
- Standard business SLAs 99.5%
Enterprise
Custom pricing
- Everything in Business
- Custom onboarding program
- Premium support
- Multiple data sources
- Row-level security
- Custom database connectors
- Multi-workspace setup
- Audit logs
- Advanced permission controls
- Migration support available
About Steep
By Toolradar Team·
Steep is a modern analytics platform designed to democratize data access and analysis across an entire organization. It acts as a central hub for all metrics, leveraging a semantic layer to ensure consistent definitions and version control. This approach allows users to explore, analyze, and consume metrics without needing SQL knowledge or extensive training, making data accessible to all roles within a company.
The platform aims to solve the "last mile problem" of analytics by providing a collaborative environment for reporting and decision-making. It enables teams to quickly create reports, visualize data, and share insights, fostering informed decisions. Steep integrates with modern data stack components like dbt and Cube, ensuring that metric definitions are centralized and reusable, reducing redundancy and improving data governance. It offers features for both casual users and data experts, allowing for multi-layered analysis and deeper insights.
Steep is ideal for growing teams and enterprises looking to build a data-driven culture and scale their analytics efforts. It replaces traditional BI tools by offering a unified platform for metrics, analysis, reporting, and content creation, making it easier for everyone from product managers to executives to engage with and understand their data.
How we evaluate tools →Source: steep.app
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Steep FAQ
How does Steep enable non-technical users to analyze data without analyst support?
Steep provides an intuitive Explore view that allows anyone to analyze metrics without requiring SQL knowledge or specialized training. The platform uses centrally defined metrics and dimensions, ensuring all users are working with trusted data definitions.
What is the primary function of Steep's semantic platform?
The semantic platform in Steep is designed to govern and publish all metrics, dimensions, and entities. This eliminates the need for repeated definitions and ensures consistency across all analysis and reporting within the company.
Can Steep integrate with existing data transformation tools like dbt?
Yes, Steep offers seamless integrations with dbt and Cube, allowing it to connect with stand-alone semantic layers. This ensures compatibility with existing data infrastructure and industry standards for interoperability.
How does Steep ensure data security and performance for users?
Steep includes fine-grained permissions to control access to metrics and row-level data. Additionally, smart caching offloads the data warehouse, providing instant responses for users during their analysis.
What kind of reporting capabilities does Steep offer beyond basic charts and tables?
Steep allows users to create dynamic reports that combine charts, tables, big numbers, and text. It also supports features like pivot tables, cohort analysis, heatmaps, and the ability to schedule reports for automatic delivery to platforms like Slack.
Source: steep.app