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TL;DR - Hashboard
- Modern BI platform with code-first DataOps workflow and Git version control
- Enables self-service analytics for non-technical users without SQL
- Connects directly to cloud data warehouses with smart caching and live dashboards
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Code-first approach enables version control and CI/CD for BI
- Non-technical users can explore data without writing SQL
- Automatic profiling and intelligent defaults reduce setup time
- Git integration fits modern data team workflows
- Clean, minimal interface avoids dashboard clutter
Cons
- Smaller ecosystem and community than Looker or Tableau
- Pricing not publicly listed — requires contacting sales
- Fewer visualization types than mature BI platforms
- Requires a cloud data warehouse as the data source
- Limited third-party connector library compared to incumbents
Key Features
Automatic visual data explorer from data modelsNo-SQL data exploration with metrics, charts, and tablesDataOps workflow with Git version control and CI/CDDirect connection to cloud data warehousesCustom role-based access controlsCalculated metrics and custom aggregationsSmart caching for fast query performanceResponsive dashboards with live dataModel joining for cross-table analysisGoverned metric definitions in data models
Pricing Plans
Free
$0
- Limited users
- Core data exploration
- Basic dashboards
- Community support
Team
Custom
- Unlimited data models
- Role-based access
- Git integration
- Priority support
Enterprise
Custom
- Everything in Team
- SSO
- Advanced project management
- Custom security requirements
- Dedicated support
About Hashboard
By Toolradar Team·
Hashboard is a modern business intelligence platform that lets data teams build self-service analytics for non-technical users. It connects directly to cloud data warehouses and automatically generates visual data explorers from your data models. Users can navigate between metrics, charts, tables, and raw data without writing SQL. Hashboard differentiates with a DataOps workflow: data models are managed as code with version control and Git integration, enabling CI/CD pipelines for BI. Dashboards update with live data and are optimized for any device. The platform supports custom role-based access, calculated metrics, and smart caching for fast query performance.
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Hashboard FAQ
What is Hashboard used for?
Hashboard is a business intelligence tool that lets data teams build self-service analytics dashboards. Non-technical users can explore metrics, charts, and tables without SQL, while data teams manage everything as code with version control.
How does Hashboard differ from Looker or Metabase?
Hashboard takes a DataOps approach where data models are managed as code with Git version control and CI/CD pipelines. Looker also uses a code-first model (LookML) but is heavier to set up. Metabase is simpler to start with but lacks native Git integration and governed metrics at the same level.
Does Hashboard require a data warehouse?
Yes. Hashboard connects directly to cloud data warehouses like Snowflake, BigQuery, Redshift, and others. It queries your warehouse in real time with smart caching rather than storing a copy of your data.
Is Hashboard free?
Hashboard offers a free tier with limited users and core features. Team and Enterprise plans with advanced features like SSO, role-based access, and Git integration require contacting sales for pricing.
Can non-technical users use Hashboard?
Yes. Hashboard is specifically designed for data teams to build tools that non-technical users can operate independently. Users can explore data, add breakouts, change metric granularity, and build dashboards without writing SQL.
Source: hashboard.com