Lightdash
The open-source BI platform that turns your dbt project into a governed, version-controlled analytics engine.
The unified data science platform where SQL, Python, and AI-powered insights converge.
Mode represents a critical evolution in the Modern Data Stack, particularly following its acquisition by ThoughtSpot in 2023. As of 2026, it serves as a high-fidelity interface for data teams that require the precision of code-first analysis (SQL, Python, R) alongside the accessibility of AI-driven exploration. Its technical core is defined by the Helix data engine, a high-performance in-memory database that caches data results to allow for sub-second filtering and pivoting of millions of rows without taxing the underlying warehouse. Mode’s architecture is uniquely positioned for 2026 market demands by integrating ThoughtSpot Sage, an LLM-powered natural language layer that allows non-technical stakeholders to query complex data models created by analysts. This 'hybrid' approach—where data scientists build the logic in Python and business users explore via natural language—eliminates the traditional BI bottleneck. The platform supports deep integration with Snowflake, BigQuery, and Databricks, providing a governed, collaborative environment for everything from ad-hoc discovery to production-grade financial modeling.
An in-memory data store that automatically loads query results to provide instant interactive analysis.
The open-source BI platform that turns your dbt project into a governed, version-controlled analytics engine.
Transform raw data into real-time metrics with a powerful semantic layer and automated BI dashboards.
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
The world's most adaptable EPM platform for autonomous financial and operational planning.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
LLM-driven interface that translates natural language into structured SQL queries.
Embedded Python and R notebooks that share the same memory space as SQL results.
A flexible, drag-and-drop visualization layer built on the Grammar of Graphics.
A secure agent for connecting Mode to databases behind a firewall without VPNs.
Allows analysts to build liquid-templated SQL that responds to UI-based user inputs.
Direct syncing of report code and notebooks with GitHub/GitLab repositories.
Marketing teams need to identify at-risk customers before they cancel.
Registry Updated:2/7/2026
Engineers need to validate if a new feature release impacted conversion rates.
C-suite executives need answers to data questions without waiting for an analyst's queue.