SELF-SERVICE Big Data ANALYTICS
Delta Lake Query Builder
Gigasheet's Delta Lake Query Builder empowers business users to query live Databricks and Spark data, build visual queries, and analyze at scale—all without writing SQL.
- Connect directly to Delta Lake tables for real-time access and interactive exploration.
- Build visual queries and analyze billion row datasets with no coding required.
- Designed for business users seeking approachable, powerful data analysis with Databricks.
What is Gigasheet for Databricks & Delta Lake?
Gigasheet for Databricks is a self-service analytics platform that includes a no-code query builder which connects directly to Delta Lake, allowing you to perform live data queries and visualize results instantly. Ideal for business analysts, data engineers, and operations teams, it eliminates the need for complex SQL or moving data around. With Gigasheet, you get a spreadsheet-like interface tailored for big data, making it easy to perform ad-hoc analysis on Delta Lake. Whether you're looking to provide self-service analytics on Databricks within your organization or create a solution to distribute big data to customers, Gigasheet's got you covered.
Key Features of Gigasheet’s Delta Lake Query Builder
- Visual Query Builder
Drag and drop fields, create filters, group, and aggregate data with an intuitive visual interface. Build sophisticated queries on Delta Lake data in real time without any coding. - Live Query Capabilities
Gigasheet connects directly to your Delta Lake environment, allowing you to query data live and see up-to-date results without managing or copying data. Perform real-time data exploration without compromising on performance. - Interactive Data Exploration
Gigasheet's spreadsheet-like interface enables you to pivot, sort, and filter data on the fly. Visualize trends, detect outliers, and refine your analysis seamlessly. - No-Code Data Enrichment and Transformation
Clean, enrich, and transform Delta Lake data with built-in tools for deduplication, formula-based calculations, and conditional formatting—no coding skills required. - Role-Based Access Controls
Ensure secure data access with Gigasheet’s support for role-based permissions and data governance, keeping your Delta Lake environment compliant.
Why Choose Gigasheet as Your Delta Lake Query Builder?
Gigasheet provides a solution for teams that need to analyze large volumes of Delta Lake data without the overhead of SQL or data movement. It offers an interactive and visual approach to data exploration, making it easy for users to uncover insights and perform ad-hoc analysis where traditional BI tools fall short.
- Real-Time Analysis: Query Delta Lake data live, avoiding the need for data replication and keeping your insights current.
- Empower Non-Technical Users: Allow business teams to interact with Delta Lake data directly, reducing dependence on data engineers.
- Improve Data Agility: Make quick, informed decisions by enabling rapid data exploration and visualization.
Ready to get started? Schedule a free trial today.
How to Get Started with Gigasheet for Delta Lake
- Connect to Your Delta Lake Storage
Link Gigasheet to your Delta Lake environment using standard connection protocols. - Build Visual Queries
Use the no-code query builder to create live queries, join datasets, and perform calculations directly on Delta Lake. - Explore Data in Real-Time
Work with your Delta Lake data live, interactively analyzing large datasets and building insights on the fly. - Collaborate and Share Insights
Share your analyses and dashboards with your team, or export results as needed.
Gigasheet: The Smart Choice for Delta Lake Query Builder
Experience a faster, more intuitive way to explore Delta Lake data with Gigasheet. Whether for data exploration, trend analysis, or real-time decision-making, Gigasheet's Delta Lake Query Builder brings the power of live data to your fingertips.
Self-Service Analytics for High-Volume Data with Gigasheet
Your data stays securely in your warehouse, ensuring real-time access without duplication or unnecessary movement.
Save time and reduce the burden on data and analytics teams by enabling business users to handle ad-hoc data requests independently.
Trusted by over 150,000 users and thousands of organizations worldwide to simplify and scale their data analysis.
