DatterWhy Data Teams Choose Datter
The only platform that combines enterprise-grade security with instant, browser-based analysis—no compromises, no waiting, no boilerplate code.
10x Faster Time-to-Insight
Stop spending hours writing Python scripts for routine analysis. Datter automatically generates comprehensive statistical profiles, identifies outliers, detects correlations, and surfaces data quality issues—all in seconds, directly in your browser.
Our WebAssembly-powered engine processes datasets up to 1GB instantly, without uploading to external servers. No queues, no waiting, no context switching between tools.
Privacy-First Architecture
Your sensitive data never leaves your device unless you explicitly choose to sync. All standard EDA runs execute entirely in your browser using DuckDB-Wasm and Apache Arrow—zero data transmission, zero compliance risk.
For enterprise teams, we offer private cloud deployments with full audit logging, SSO integration, and role-based access control. SOC2 Type II compliant and ready for regulated industries.
From Analysis to Action
Datter doesn't just generate charts—it delivers actionable intelligence. Our AI-powered Visual Assistant understands natural language queries and generates interactive visualizations on demand. Ask "show me sales trends by region" and get production-ready Plotly charts instantly.
Export comprehensive reports in PDF, DOCX, or Jupyter notebook format. Build custom dashboards with drag-and-drop widgets. Schedule automated runs with anomaly alerts. Everything you need to operationalize your data insights.
Built for Teams
Collaboration shouldn't require copying code snippets into Slack. Datter's annotation system lets your team discuss findings directly on charts and columns, with threaded comments and resolution tracking.
Share dashboards with stakeholders, control access with granular permissions, and maintain a complete audit trail of every analysis. Perfect for data teams that need both speed and governance.
The Problem We Solve
Data scientists and analysts waste 80% of their time on repetitive tasks: writing the same statistical summaries, creating identical distribution plots, detecting outliers with identical methods, and documenting findings in scattered notebooks.
Traditional tools force you to choose between speed and security. Cloud platforms require uploading sensitive data and waiting in queues. Desktop tools lock you to a single machine. Open-source libraries require constant maintenance and boilerplate code.
Datter eliminates these tradeoffs. You get instant, comprehensive analysis with enterprise-grade security, accessible from any device, with zero configuration required.
Why This Matters for Your Business
Reduce Time-to-Insight by 90%
What used to take hours now takes minutes. Your team can analyze more datasets, test more hypotheses, and deliver insights faster to stakeholders.
Eliminate Compliance Risk
Browser-based processing means sensitive data never leaves your control. No data residency concerns, no GDPR compliance headaches, no security review delays.
Scale Without Headcount
Automate routine analysis so your data scientists can focus on high-value modeling and strategy. One analyst can now handle the workload of three.
Standardize Best Practices
Every analysis follows the same rigorous methodology: IQR and Z-score outlier detection, Pearson and Spearman correlations, missing value pattern analysis. No more inconsistent results.
Ready to Transform Your Data Workflow?
Join data teams who've eliminated boilerplate code and accelerated their analysis pipeline.