Mode vs Livedocs
SQL reporting tool vs hybrid notebook with DuckDB, Python, and AI agents.
Mode
A browser-based business intelligence and reporting tool centered on SQL notebooks and data visualizations for analytics and team reporting.
Livedocs
The AI-native notebook for data teams. Write Python and SQL, query any data, build interactive dashboards, and collaborate in real time. Powered by DuckDB, Polars, and AI — it's the fastest way to analyze, automate, and share insights.
Overview
Mode is a SQL-based BI and reporting platform built mainly for analysts who write queries and share dashboards. It’s solid for basic reporting but limited in scope and flexibility. Livedocs, on the other hand, is a next-generation, AI-native notebook that goes far beyond dashboards. It combines SQL, Python, and AI in one reactive environment — built for serious data work, automation, and storytelling. Even when it comes to SQL alone, Livedocs outperforms Mode with faster engines, smarter caching, and richer interactivity.
SQL Experience and Performance
Mode’s SQL notebooks rely entirely on warehouse execution — every query runs remotely and every refresh depends on the database connection. Livedocs uses a smarter approach: it automatically selects the best query resolver based on your context. For example, it uses Polars to handle data in memory efficiently, DuckDB for querying local files like CSVs and Parquet, and pushes down compute to warehouses like Snowflake or BigQuery when appropriate. This hybrid model means faster queries, lower costs, and seamless handling of both local and remote data. It’s SQL done right — fast, intelligent, and adaptive.
Data Connectivity and Flexibility
Mode connects to most popular warehouses but operates strictly within a SQL-only paradigm. There’s no built-in way to join results across systems or mix data from files, APIs, and databases in the same document. Livedocs connects to all major warehouses and supports direct file querying via DuckDB. You can blend multiple data sources, reuse query outputs in memory, and even write results back to your database. It’s designed to be the most flexible environment for SQL workflows — not just read-only dashboards.
Visualization and Interactivity
Mode’s charts are tied to static SQL outputs and offer limited interactivity. Livedocs includes native reactive charting via Vega-Lite and Altair, complete with input elements like dropdowns, sliders, and text fields for user interaction. You can build parameterized dashboards and data apps that respond instantly to changes. Livedocs turns static reports into living, breathing analytical tools — something Mode’s static charts can’t achieve.
AI Integration
Mode has no native AI capabilities. Livedocs is AI-native by design. Its built-in agent can write or optimize SQL, generate visualizations, clean data, and even reason about results. You can choose any model you prefer — GPT-5, Claude, Gemini, and others — and the AI can work directly with your connected data. It’s like having a data co-pilot embedded inside your notebook, something Mode simply doesn’t offer.
Collaboration and Workflow
Mode supports sharing dashboards, but collaboration is asynchronous and limited to commenting. Livedocs enables real-time multiplayer editing with comments, live presence, and shared workspaces. You can publish documents as live apps, static views, or collaborative notebooks. It’s built for teams to actually work together — not just pass around reports after the fact.
Workflow Automation and Scheduling
Mode allows scheduled query refreshes for reports. Livedocs takes that further by supporting full notebook scheduling, smart caching, and stateful automation via built-in key–value and secrets stores. You can schedule data refreshes, run workflows periodically, and persist variables across runs. It’s the difference between a static report generator and a living, automated analytical platform.
User Experience and Design
Mode’s interface feels like an enterprise BI tool — functional but dated, and heavily optimized for consumption rather than creation. Livedocs offers a clean, modern, and responsive interface built for creators. Every interaction feels instant, from editing queries to rendering charts. It’s designed to make serious work feel fast and fluid rather than slow and bureaucratic.
Pricing and Accessibility
Mode’s pricing is geared toward enterprise adoption, often with paywalls around advanced collaboration and governance features. Livedocs offers a generous free tier with unlimited documents and apps, plus $10 in AI credits for any model. The Pro plan remains affordable and transparent for individuals and teams. There’s no procurement friction or enterprise lock-in — just an open, accessible platform anyone can start using immediately.
When to Choose Each
Choose Mode if your entire workflow revolves around static SQL dashboards for business reporting and you're already locked into an enterprise BI stack. Choose Livedocs if you want something faster, smarter, and far more flexible — a notebook that can handle SQL, Python, and AI side by side. It does everything Mode does, but better: faster queries through Polars and DuckDB, smarter execution with hybrid compute, and a truly modern experience for real analysts and data scientists.
Compare All Data Platforms
See how Livedocs stacks up against all major data notebook and analysis platforms.
| Tool | Setup | Languages | Data | Visualization | Collaboration | AI Agent | Engine | Scheduling | Sharing | Terminal | Pricing |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Livedocs | Zero-setup | Python, SQL, AI | All major DBs + files | Native + Python | Realtime | Yes, choose model | DuckDB + Polars | Yes + KV/secrets | Live/static/embed | Yes | $0 + $10 AI credits |
| Deepnote | Managed | Python, SQL | Cloud connectors | Charts + Python | Realtime | Basic, no choice | Standard runtime | Limited | Notebook only | No | Free with limits |
| Hex | Managed | SQL, Python | Enterprise only | No-code + libs | Team only | Limited, no choice | Cloud only | Workarounds | Apps only | No | Expensive |
| Jupyter | Manual setup | Python only | Libraries only | Code-based | File/Git | No | Sequential | No | Files only | External | Free OSS |
| Julius | Managed | Chat only | Minimal | Basic | Single-user | Chat only | Limited | No | Ephemeral | No | N/A |
| Colab | Managed | Python only | Drive/manual | Code-based | Link share | Autocomplete | Ephemeral VMs | No | Link only | No | Free + limits |
| Databricks | Cluster-based | Python, SQL | In-platform | Basic + libs | Team only | No | Slow starts | Enterprise jobs | Notebook only | Limited | Expensive |
| Modal | Serverless | Python | Storage mounts | Code-based | Partial | No | GPU focus | No | Notebook only | Container | Pay-per-use |
| Observable | Managed | JavaScript | Browser/APIs | D3/JS elite | Realtime | No | Browser only | No | Embeds/static | No | Free + paid |
| ChatGPT | N/A | N/A | No connections | Descriptive | Chat share | Fixed model | No execution | No | Chat only | No | Subscription |
| VSCode | Local setup | Multi-language | Manual | Libraries | Git/PR | Copilot | Local kernel | No | Files | Yes | Free |
| Cursor | Local setup | Multi-language | Manual | None | Git/PR | Code agent | Local | No | Code | Yes | Subscription |
| Marimo | Local/DIY | Python | Local files | Widgets + libs | No | Limited | Reactive | No | App/read-only | Local | Free OSS |
| Power BI | Desktop/cloud | No-code + DAX | Broad | BI visuals | Workspace | Basic | Extracts | Report refresh | Reports/embeds | No | Per-user |
| Mode | Managed | SQL only | Warehouses | Report charts | Team share | No | Warehouse-bound | Scheduled | Dashboard embeds | No | Enterprise |
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