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Verified User in Information Technology and Services
Provides a familiar spreadsheet environment improving time to value for developers and adoption for consumers.
Does not offer a traditional spreadsheet interface; Data must be pre-modeled for data exploration or content creation.
Use familiar spreadsheet skills for data analysis as well as direct SQL queries.
The data team needs to become LookML experts, business users need an understanding of SQL to use the output of proprietary data model in Lookers Explore environment.
Right-click on any element to drill down into further analysis without additional set-up.
Drill-downs need to be pre-defined in LookML and are limited to pre-defined columns.
Enables dynamic data summarization and complex analysis. Easy multi-level groupings and customization.
Offers basic pivot table functionality through Looker's Explore interface very limited customization.
Easy to combine user input context, UI actions, and data warehouse to build data applications. Easy to input cell level data or upload CSVs to the warehouse.
Only supports write back for modeled table objects in LookML.
Leverages intelligent query engine for performant queries.
Query performance dependent on design of data model and materialized views.
Utilizes warehouse caching mechanisms to securely enhance performance and reduce query times.
Stores dataset cache on application server outside warehouse.
Supports real-time collaboration while building data projects.
No real-time collaboration; risk of overwriting each other's work, and lacks version control.
Provides a robust SQL editor allowing for analysts to do ad-hoc analysis and share results.
Supports SQL editing, but must be recreated in LookML before end users can interact with the results.
Integrates Python for scripting and advanced data analysis.
Does not support Python scripting.
Tracks changes to everything, allowing granular reversion.
Provides version control through Git integration for LookML models. Complicated code based version control for iterating content.
Shows a detailed view of data origin and transformations; each element is a data source.
Provides data lineage through LookML model dependencies and relationships, no visual lineage available.
Offers assistance and resources via live chat for all users within the platform.
Only available for Admin Users.
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