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Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
Agentic AI platform ('Aiden') that automates incident response, infrastructure-as-code and observability tasks with policy-based governance.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Lets non-technical teams query company databases and files in plain English and get auto-generated SQL and charts.
No public pricing
No public pricing
No public pricing
No public pricing
Free trial available
- ✦Library of sample database designs
- ✦Visual database designer / diagram tool
- ✦AI database generator
- ✦Modify and optimize existing schemas
- ✦SQL script export
- ✦Dialect converters (MySQL/PostgreSQL/MSSQL)
- ✦Automated service discovery and dependency topology mapping
- ✦SLO-based alert triage and prioritization
- ✦AI-driven root cause analysis with pre-built workflows
- ✦Human-approved remediation with full audit trails
- ✦Works alongside existing tools like Datadog, Grafana, New Relic
- ✦Governance and policy enforcement layer for agent actions
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦Natural-language chat interface over connected databases and files
- ✦Automatic SQL query generation from plain-English requests
- ✦Direct SQL entry for technical users
- ✦Support for CSV, Excel, PDF, DOC, and DOCX uploads
- ✦Downloadable chart and table outputs
- ✦Slack and website chatbot embedding with UI customization
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →SRE teams reducing mean-time-to-resolution during incidents
- →Platform engineers wanting policy-governed AI infrastructure management
- →Enterprises needing SOC 2 / PCI / HIPAA-compliant AI operations
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Letting business teams self-serve data questions without SQL skills
- →Generating ad hoc SQL queries faster for analysts
- →Embedding a data Q&A chatbot into Slack for teams
- →Consolidating file and database sources into one chat interface