Orka
Orka is an AI-powered self-service analytics platform that enables users to query and analyze data using natural language. Connect multiple databases, including MongoDB, PostgreSQL, and MySQL, and ask questions in plain English without writing SQL or creating complex dashboards. Orka's AI-powered multi-agent architecture understands context, generates and validates queries, analyzes data across multiple databases simultaneously, and delivers accurate answers in seconds. Users receive actionable insights through charts, tables, dashboards, reports, and visualizations, all from a single conversational interface. Designed for business users, analysts, product teams, and decision-makers, Orka eliminates dependency on technical teams and makes data exploration accessible to everyone. From cross-database analytics to real-time insights, Orka helps organizations turn data into faster, smarter decisions.
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Query Streams
Query Streams securely connects Google Sheets and Microsoft Excel to live databases—no VPNs, firewall changes, or coding required. Users can run real-time SQL queries and view results instantly inside spreadsheets. Through a user-friendly add-on interface, even non-technical users can safely adjust parameters and fetch fresh data on demand.
Built for IT teams, analysts, finance departments, developers, students, researchers, and individuals managing personal or academic projects—Query Streams eliminates the need for manual exports or scheduled refreshes. It supports major databases including MySQL, PostgreSQL, SQL Server, MariaDB, SQLite, Access, and more.
With shared queries, secure credential handling, granular access controls, and ultra-fast data compression, Query Streams turns spreadsheets into live dashboards—securely and effortlessly.
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Actian AI Analyst
Actian AI Analyst is a context-aware conversational analytics platform designed to help organizations get trusted answers from their data using natural language. It enables business users to ask questions directly without writing SQL, transforming traditional dashboards into an interactive, ongoing conversation with data. It operates on a governed semantic layer that models business metrics, relationships, and definitions before analysis begins, ensuring that every query is grounded in how the organization actually works. This semantic layer is automatically generated and maintained by the Steward AI agent, which continuously monitors data definitions and connections, providing reviewable action plans to maintain accuracy over time. AI Analyst preserves conversational context across follow-up questions, allowing deeper exploration while keeping results consistent with defined business logic.
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GetDot.ai
Dot is an AI data analyst that connects directly to your data warehouse and lets users ask questions in plain language to get instant, trustworthy insights. It integrates with Slack, Teams, or a native web app to deliver ad‑hoc data retrieval, visualizations, root‑cause analysis, and weekly business reports with actionable recommendations. By learning from your existing BI tools, dbt metrics, LookML, SQL queries, and documentation, GetDot.ai ensures consistent, governed answers reinforced by role‑based permissions and row‑level security. Setup is code‑free, with one‑click integrations for Snowflake, BigQuery, Redshift, PostgreSQL, and other SQL‑based sources. Continuous monitoring uncovers unknown unknowns, while a dedicated training and governance workspace lets you refine its behavior and maintain accuracy. Designed for speed and simplicity, Dot replaces dashboard overload by delivering precise answers in seconds rather than days.
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