Datayaki is an AI-powered data analysis platform that empowers teams to explore, visualize, and derive insights from their data without needing to write SQL or code. Built for product managers, business analysts, and operations teams, Datayaki turns natural language questions into actionable insights using intelligent notebooks and visual dashboards.
Designed to eliminate the traditional complexity of BI tools and manual data querying, Datayaki combines AI, automation, and collaborative analytics into one intuitive platform. With features like smart prompts, AI-generated notebooks, live data connectors, and sharable reports, Datayaki makes it easy to uncover trends, answer business questions, and drive decision-making—all without relying on data engineers.
Whether you’re analyzing product usage, customer behavior, or operational metrics, Datayaki simplifies data-driven work for everyone.
Features
AI-Powered Data Exploration
- Ask questions in plain English
- Get answers with charts, tables, and explanations powered by AI
No-Code Smart Notebooks
- Generate full data analysis notebooks without writing SQL or Python
- Combine multiple queries, visualizations, and AI commentary in one view
Real-Time Data Connections
- Connect to Postgres, Snowflake, BigQuery, Redshift, and more
- Live data syncing and automatic refresh support
Built-in Visualization Tools
- Generate charts, graphs, and tables instantly
- Customizable dashboards with drag-and-drop interface
Team Collaboration
- Share notebooks and dashboards with teammates
- Add comments, collaborate in real-time, and track versions
Automated Reporting
- Schedule recurring reports and alerts
- Share reports via email or Slack automatically
Data Governance and Access Control
- Role-based permissions for datasets, queries, and notebooks
- Secure connections with enterprise-grade encryption
How It Works
- Connect Your Data Source
Link your database (e.g., Postgres, Snowflake, Redshift) securely to Datayaki. - Ask a Question or Start a Notebook
Use the AI interface to ask business questions like “Show churn by cohort over 6 months.” - Review AI-Generated Analysis
Datayaki creates a notebook with queries, charts, and plain-language insights. - Customize or Extend
Adjust filters, tweak charts, or add commentary—no SQL required. - Share, Export, or Schedule
Send reports to stakeholders, export dashboards, or schedule recurring updates.
Use Cases
For Product Teams
- Track feature adoption and product usage
- Analyze user retention and funnel drop-offs
For Business Analysts
- Run cohort and trend analyses without SQL
- Collaborate with stakeholders on live data
For Operations Teams
- Monitor KPIs and process metrics
- Automate recurring reports and alerts
For Startups and Founders
- Validate metrics and user behavior quickly
- Gain insights without hiring data engineers
Pricing Plans
According to the Datayaki website, pricing is customized based on organization size and usage. A free trial is available.
Free Trial
- Limited access to core features
- One data source connection
- Up to 3 users
- AI-powered notebooks and dashboards
Team Plan – Custom Pricing
- Unlimited projects and notebooks
- Multiple data connections
- Advanced visualization and export options
- Priority email support
Enterprise Plan – Tailored Pricing
- Role-based access and audit logs
- SSO and SOC 2 compliance
- White-labeled dashboards and APIs
- Dedicated success manager and SLA support
Contact Datayaki for custom pricing and deployment options.
Strengths
- Intuitive, no-code data analysis for non-technical teams
- AI generates smart notebooks and visualizations in seconds
- Real-time collaboration and sharing across teams
- Works with leading databases and warehouses
- Automates reporting and recurring insights
- Secure and scalable for enterprise use
Drawbacks
- Currently optimized for structured datasets (SQL-based sources)
- May require setup assistance for large data environments
- Custom visualization flexibility may be limited compared to code-based BI tools
- Pricing not publicly listed; requires contact for full access
Comparison with Other Tools
Datayaki vs Looker
Looker offers robust BI features but requires modeling in LookML and data engineering support. Datayaki is more accessible for non-technical users with AI-generated insights and no-code workflows.
Datayaki vs Metabase
Metabase provides open-source dashboards but still depends on SQL. Datayaki offers a truly no-code and AI-driven experience, ideal for fast-moving business teams.
Datayaki vs Tableau
Tableau is powerful but complex and design-heavy. Datayaki simplifies the analysis process by focusing on speed, usability, and collaboration through AI automation.
Customer Reviews and Testimonials
Users praise Datayaki for removing bottlenecks between teams and insights:
“Our PMs and analysts are generating insights without bugging the data team.”
“Datayaki made reporting a breeze—charts are ready before the meeting starts.”
“We save hours every week thanks to automated reports and AI notebooks.”
These testimonials highlight the platform’s practical value for agile, data-informed teams.
Conclusion
Datayaki redefines how teams work with data by removing technical barriers to analysis. With AI-powered notebooks, no-code dashboards, and seamless collaboration tools, it enables anyone—from product managers to executives—to get answers from data without waiting on engineers.
Whether you’re scaling a startup or leading a data-driven team, Datayaki provides a faster, smarter way to explore, understand, and act on your business data.
Try the platform or request a demo at https://www.datayaki.com
