Overview
Livedocs is an AI-powered data analysis platform designed to help teams analyze CSVs, spreadsheets, and databases through natural language queries and generate interactive visualizations. The platform positions itself as a comprehensive workspace where users can ask questions about their data, create charts and metrics, and share insights as interactive applications rather than static screenshots.
Designed for teams who need data analysis capabilities without extensive engineering infrastructure, Livedocs integrates AI agents that can work with data context and generate SQL/Python code, utilizing tools like DuckDB and web search. Advanced capabilities such as terminal access are available on higher-tier plans. The platform emphasizes speed and performance through built-in integration with Polars and DuckDB for handling large datasets efficiently.
Livedocs combines collaborative Python and SQL environments with AI-assisted analysis, enabling users to work with data using either conversational queries or traditional code. The platform is built to consolidate multiple data analysis tools into a unified workspace, supporting workflows from initial exploration through final presentation of findings in shareable, interactive formats.
Key Features
AI Agent with Tool Integration — Provides natural language interface to analyze data and generate SQL/Python code, with the AI agent leveraging tools like DuckDB and web search to provide contextual insights. Terminal access for advanced workflows is available on Pro and Custom plans, allowing both conversational queries and direct code execution.
Interactive Data Stories — Transforms analyses into visual, interactive applications that can be shared with stakeholders, moving beyond static screenshots to provide explorable insights with charts and metrics.
Zero-Setup Python & SQL Environment — Offers collaborative Python and SQL execution on provisioned hardware without local configuration requirements, allowing teams to write and share queries immediately.
High-Performance Data Processing — Integrates Polars and DuckDB engines by default to deliver fast query execution on large datasets, optimizing performance without requiring manual optimization.
Multi-Source Data Support — Enables analysis of CSVs, spreadsheets, and databases within a unified workspace, consolidating different data formats into a single analysis environment.
Collaborative Workspace — Provides team-oriented features for sharing analyses, queries, and visualizations, enabling multiple users to work together on data projects within the same platform.
Pricing & Plans
Livedocs offers three pricing tiers with a self-serve sign-up process available directly on their website:
Free Plan ($0/month) — Provides access to core data analysis features with included AI credits, basic compute resources, and support for a limited number of workspace members. File uploads are capped at 500MB per file.
Pro Plan ($30/month per workspace + $20/month per additional member) — Includes enhanced compute profiles (increased RAM and vCPU), higher AI usage credits, terminal access for advanced workflows, scheduled runs for automation, and real-time collaborative editing. Execution timeouts are extended to support longer-running analyses.
Custom Plan (Contact Sales) — Designed for enterprise needs with tailored compute resources, dedicated support, advanced data source integrations (including Snowflake, Databricks, and additional warehouses), and custom team management features.
The pricing page details specific resource allocations, feature availability by plan, and usage limits. Users can sign up for the Free plan immediately or contact the sales team for Custom enterprise arrangements.
Pros & Cons
Pros:
- Consolidates data analysis tools into a unified workspace, reducing need to switch between multiple platforms
- AI agent enables natural language queries for users without extensive coding experience
- Built-in Polars and DuckDB integration provides high-performance processing for large datasets
- Collaborative Python and SQL environment requires zero local setup or configuration
- Interactive sharing capabilities allow stakeholders to explore data rather than viewing static reports
- Supports multiple data sources including CSVs, spreadsheets, and databases in one platform
Cons:
- Some advanced features like terminal access and scheduled runs are restricted to Pro and Custom plans
- Third-party security certifications (such as SOC 2 or ISO 27001) are not prominently disclosed on the website
- The platform's long-term development roadmap and future feature plans are not publicly detailed
- While data source support is documented, the full extent of third-party tool integrations remains unclear
- AI usage credits vary across documentation pages, which may cause confusion about exact allowances
- Some compute and resource limits are plan-dependent, requiring careful review of pricing details
Best For
Livedocs is likely to be most useful for:
- Data teams in small to mid-sized companies who need collaborative analysis capabilities without maintaining dedicated data infrastructure
- Analysts who frequently work with CSVs, spreadsheets, and databases and want to consolidate their workflow into a single platform
- Product managers and business stakeholders who need to explore data interactively without writing code themselves
- Teams transitioning from notebook-based workflows who want to add AI-assisted analysis and interactive sharing capabilities
- Organizations that prioritize speed of analysis and want built-in performance optimization for large datasets without manual tuning
- Cross-functional teams where both technical and non-technical members need to access, analyze, and share data insights collaboratively
FAQ
Is there a free plan available?
Yes, Livedocs offers a Free plan at $0/month with access to core data analysis features. The Free plan includes AI usage credits, basic compute resources (8GB RAM/2 vCPU), file upload capability up to 500MB per file, and support for a limited number of workspace members. Users can sign up directly through the website without requiring approval or waitlist access.
What data sources can Livedocs connect to?
Livedocs supports multiple data source types including file uploads (CSV, JSON, Parquet, Excel) and database/warehouse connections such as PostgreSQL, BigQuery, Snowflake, ClickHouse, Databricks, and others. The availability of certain data warehouse connectors may vary by plan, with advanced integrations like Snowflake and Databricks typically available on Pro and Custom tiers. Refer to the official documentation for the complete list of supported sources.
Does Livedocs require coding knowledge?
Livedocs provides both AI-driven natural language query capabilities for users without coding experience and direct Python/SQL environments for technical users who prefer writing code. The platform is designed to accommodate different skill levels, allowing teams with varied technical backgrounds to collaborate on data analysis.
How does Livedocs handle data security?
Livedocs publishes a Privacy Policy on its website that describes how it collects, uses, and protects user data. However, the website does not prominently display third-party security certifications such as SOC 2 or ISO 27001 in the materials readily available to users. Organizations with specific security, compliance, or regulatory requirements should contact Livedocs directly to request detailed security documentation and certification information before uploading sensitive data.
Can multiple team members work on the same analysis?
Yes, Livedocs supports team collaboration with workspace roles including Admin, Editor, and Viewer, each with different permission levels. The Pro plan includes real-time collaborative editing capabilities, allowing multiple team members to work simultaneously on analyses. The Free plan supports a limited number of workspace members. Teams can invite members, share workspaces, and manage access through the platform's team management features.
What makes Livedocs faster than other analysis tools?
Livedocs integrates Polars and DuckDB as default processing engines, both designed for high-performance analytics on large datasets. These technologies provide optimized query execution without requiring manual performance tuning. The platform allocates different compute profiles based on plan tier, ranging from 8GB RAM/2 vCPU on the Free plan to enhanced resources on Pro and Custom plans, with execution timeouts up to 30 minutes for complex analyses.
Can I export or share my analyses outside of Livedocs?
Livedocs enables users to create interactive data stories that can be shared as explorable applications rather than static reports. These interactive outputs allow stakeholders to engage with charts, metrics, and visualizations dynamically. For specific details about export formats, embedding options, public sharing capabilities, and permission controls, users should refer to the platform documentation or contact support for current sharing features.
What programming languages does Livedocs support?
Livedocs provides collaborative environments for both Python and SQL, allowing users to write and execute code directly in notebook-style cells. The platform includes pre-configured environments with common data analysis libraries and integrates Polars and DuckDB for optimized performance. Terminal access, available on Pro and Custom plans, provides additional flexibility for package management and system-level operations.
