Open-source | Yes | No |
Governance | - Difficult to govern: all users access one interface, which makes for a blurry line between data ownership by data teams, and business user consumption. Puts data at risk of breaking, and makes it less scalable as your business grows.
- No version control available
| - Adheres to high governance standards: 2 bespoke tools within the platform: Workbench for data analysts; Exploration/Consumption for business users.
- Version control with audit logs for each layer (modeling, exploration, charting)
|
Learning curve | Easy, though not as intuitive to navigate. | Easy |
Implementation time | Easy to implement in a few minutes | Easy to implement in a few minutes |
Scalability | Governance blockers will make it difficult to scale. Less robust features may not be suitable for more mature companies, as you grow. Large data sets lag. | Data governance is not an issue, which means you’ll have implemented these auditable best practices from the start. Robust features across all layers. Fast load time even for large data sets. |
Self-service | Yes, for exploration and consumption. Configuration seems to require resources with SQL knowledge. | Self-service for modeling (data-savvy), exploration, and consumption. Configuration requires a main builder with SQL knowledge. |
Speed | Low computing power, with reports of slow or lagging data sync and imports, particularly with large data sets or when multiple users in your are organization using it at once. Brief system crashes may occur. | Fastest speed/performance on the market built on latest technology |
Modeling layer | They recently rolled out a modeling layer, but it is very limited to standard SQL. Not able to combine from multiple sources as it’s not integrated with data connectors or dbt. | Robust modeling layer that allows for combining data from any number of sources, with our Flow feature. There’s also a visual builder that doesn’t require SQL. |
Exploration layer | Yes, but no easy drag & drop for asking questions. | Yes, with drag & drop interface |
Visualizations | Basic capabilities | Comprehensive capabilities: Cohorts, funnels, bubble charts |
Connectors | - No dbt integration for data transformation
- Connects with databases and data warehouses (14), but no other data connectors
| - Natively integrated with dbt for data transformation
- 31 connectors to data warehouses and other systems
|
Embedding | Limited to public mode or on Enterprise plan only | Yes, available in every plan |
Sharing reports | Push dashboards to Slack, Email | Push dashboards to Slack, Email, Google Sheets, Airtable and Webhooks |
User Access Control | Limited- Row-level Access Control available in Enterprise Plan
- Column-level Permissions not supported
| Both row and column permissions supported |
Working with CSV/Google Sheets | No | Yes |
Pricing | Free with self-hosted on-prem open-source option. Paid with Cloud options start at $85/month (includes only 5 users), goes up significantly with Enterprise plan: starts at $15k/year. Paid viewer licenses. | Mix of usage-based and user-based. Cloud options start at $460/month, with always free Viewer licenses. Implementation is included, along with 1 training session. |
Customer Support / Tutorials | Limited support. Lacking tutorials for non-technical people, despite claiming to be for non-technical users. | Whaly’s support team is highly reactive with SLAs in place; quick problem-solving. |