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Datayaki
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Data Analysis (296)

Datayaki Verified Tool

Datayaki is an AI data analyst for asking natural-language questions across spreadsheets and SQL databases while emphasizing that data remains under the user’s control. Teams should connect sources with least privilege, remove sensitive fields, verify generated queries and calculations, test schemas and joins, inspect charts and conclusions, protect credentials, monitor costs and retain qualified analyst approval.

Last Update: August 20, 2026

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Starting price Free beta + custom pricing

Tool Information

Datayaki is an AI data analyst for asking natural-language questions across spreadsheets and SQL databases while emphasizing that data remains under the user’s control. Teams should connect sources with least privilege, remove sensitive fields, verify generated queries and calculations, test schemas and joins, inspect charts and conclusions, protect credentials, monitor costs and retain qualified analyst approval.

Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, quality, accessibility, disclosure, export, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, code, financial data and visual details, preserve originals and version history, and retain accountable human approval before publication, investment, outreach, deployment or operational action.

A signup and playground route are available, while organizational deployments are handled through scheduled calls and custom terms. Data sources, rows, queries, models, users, hosting, integrations, support and contract scope determine cost.

AI output can be inaccurate, biased, derivative, insecure, incomplete or misleading. Review consent, copyright, likeness, commercial rights, training and retention terms, renewals, refunds, platform rules and applicable law. Financial, education, dating, database, sales, analytics and customer-facing workflows require qualified human review.

F.A.Q (3)

Datayaki is an AI data analyst for asking natural-language questions across spreadsheets and SQL databases while emphasizing that data remains under the user’s control. Teams should connect sources with least privilege, remove sensitive fields, verify generated queries and calculations, test schemas and joins, inspect charts and conclusions, protect credentials, monitor costs and retain qualified analyst approval.

Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, quality, accessibility, disclosure, export, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, code, financial data and visual details, preserve originals and version history, and retain accountable human approval before publication, investment, outreach, deployment or operational action.

Verified pricing: Free beta + custom pricing. A signup and playground route are available, while organizational deployments are handled through scheduled calls and custom terms. Data sources, rows, queries, models, users, hosting, integrations, support and contract scope determine cost.

Pros and Cons

Pros

  • Lets users analyze data with plain-English questions
  • Supports XLS and CSV files
  • Can analyze multiple spreadsheets together
  • Aims to keep raw data within the browser or backend
  • Says the AI uses data shape rather than contents
  • Does not require users to write SQL or Excel macros
  • Can explain its analysis
  • Allows users to correct the system when it is wrong
  • Targets both professional and academic users
  • Advertised connectors for common SQL and NoSQL systems
  • Advertised encrypted sharing and collaboration
  • Provides a simple sign-up workflow
  • Supports iterative follow-up questions about uploaded tables
  • Reduces setup for users who do not maintain a database
  • Can support exploratory analysis before a formal dashboard is built
  • Promised connectors would extend analysis beyond uploaded files

Cons

  • The official page appears stale and was crawled from a 2023-era version
  • Several major features are marked available soon
  • Database connectors were not confirmed as generally available
  • End-to-end encrypted collaboration was marked upcoming
  • Explainable AI was marked upcoming
  • Datayaki's public page does not state subscription prices
  • There is little current documentation or release information
  • The phrase that data stays private depends on implementation details not fully documented
  • Schema information alone can still reveal sensitive business structure
  • AI-generated analysis can be statistically or logically wrong
  • Spreadsheet type inference and missing values can distort results
  • Plain English hides SQL and modeling assumptions from nontechnical users
  • Users still need to validate calculations against source data
  • The cited site does not display enterprise security certifications or compliance reports
  • Product availability and ongoing support should be confirmed before adoption
  • The tool should not be used for high-stakes decisions without expert review

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Before you subscribe

  • Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
  • App-store pricing can differ from website pricing by country, device and tax.
  • Share only authorised data, and read the provider's encryption, retention and model-training terms first.
  • AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
  • Commercial usage rights vary by plan, provider terms and jurisdiction.
  • None of these tools replaces a qualified professional for medical, legal or financial decisions.

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