Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
PromptQL is an enterprise AI application platform from Hasura, positioned as “Team AI with a Wiki.” It is not just a chatbot; instead, it combines shared team AI threads, automatically generated Wiki knowledge, enterprise data connectors, and business tool automation to build more trustworthy AI analysts and collaborative workflows.
On the AI side, PromptQL emphasizes working like an experienced analyst: it can understand enterprise data models, metric definitions, naming conventions, and business processes; automatically write queries; run analyses; validate results; and iterate. Multi-user collaboration is one of its standout features. When one person does not have all the information, it can identify who should be asked within the same thread, pull in Wiki context, and turn new knowledge generated during problem-solving into suggested Wiki edits, which users can review before adding them to the knowledge base.
The public page lists a wide range of connectors, including Snowflake, Postgres, BigQuery, MySQL, MongoDB, Salesforce, GitHub, Linear, Slack, Notion, Atlassian, Cloudflare, Datadog, Grafana, Google Drive, Google Sheets, Zendesk, Webhook, HTTP API, as well as computer agents such as Claude Code and Codex. On security, PromptQL explicitly states that it does not move or index data when querying it, enforces fine-grained permissions at the infrastructure layer, supports row-level and column-level security, full audit logs, deployment in a dedicated cloud or on-premises environment, and says there is no shared training data or data replication.
The page headline describes its pricing logic as “Pay only for the AI you use,” meaning billing is based on AI usage. It also offers Try PromptQL, Book demo, and Request demo options. However, the captured content does not disclose specific prices, plans, free quotas, usage units, or payment methods, so buyers still need to contact sales before procurement.
Its strengths lie in its ability to capture and structure enterprise context, making it suitable for teams in data analysis, retail, supply chain, GTM, financial services, healthcare, and other scenarios that require highly trustworthy analysis. Its connectors and permission governance are also more enterprise-oriented. The limitations are that implementation depends on a company’s existing data sources, permission system, and team knowledge input; key Wiki updates and automated actions still require human review; and there are no public details on Chinese-language support, underlying models, or real-world accuracy. Overall, it is better suited to mid-sized and large enterprises than to individuals or lightweight teams.
The main content does not state whether the service is accessible from mainland China, whether it offers a Chinese interface, or whether local payment methods are supported, so its access status can only be considered unknown. Domestic teams looking for alternatives may compare Microsoft Copilot, Notion AI, Glean, Atlassian Intelligence, Tableau Pulse, ThoughtSpot, Metabase AI, and similar products, with particular attention to data residency, permission inheritance, and Chinese semantic analysis capabilities.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on promptql.io official site.
promptql.io is an Unknown AI Apps provider. TG4G tracks its product information, an overall rating of 8.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach promptql.io directly.