DataChat

Natural-language data analysis for fast exploration, charting, and decision support

Data AnalyticsAI AnalyticsNo-Code DataForecastingPaid only

DataChat combines large language models with automated data science workflows so users can explore datasets through natural language. It helps teams clean data, join tables, generate charts, and summarize business insights without writing SQL or Python from scratch.

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Updated

2026-09-15

Platforms

Web / Cloud

Paid

DataChat is primarily offered through SaaS subscription pricing and business-focused enterprise packages. The user-provided reference indicates a standard user plan at approximately $75–$80/user/month. Enterprise and AWS Starter Pack pricing is typically quoted on an annual or usage-based basis starting around $12,000/year, depending on data volume, deployment, and contract scope. Current pricing, annual billing options, private-cloud or AWS deployment terms, and local data requirements should be confirmed on DataChat's official pricing page.

* Pricing is for reference only; see the official site for current pricing.

DataChat preview

datachat.ai

Key Features

Natural-language Q&A
Use conversational prompts to explore datasets, compare metrics, and surface business answers quickly.
Auto analysis
Let the system detect trends, anomalies, and likely explanations across tables and time series.
Insight summaries
Convert exploration into concise summaries and briefing-ready explanation for stakeholders.
Data preparation
Automate cleaning, transformation, and multi-table logic before charting and modeling.