Features Overview
Ever wish your database could just... talk? Like, actually answer questions without making you decipher cryptic error messages or wait three business days for a report?
Welcome to QRY's feature lineup - the Swiss Army knife for people who think data analysis shouldn't require a PhD in computer science and infinite patience.
For Business Users
AKA "The I-Just-Need-The-Numbers Crowd"
🤖 AI Data Analyst
Ask questions like you're texting a coworker who actually knows what they're doing. "How many customers did we lose last month?" gets you instant answers with pretty charts. No need to learn SQL, no need to open a support ticket, no need to sacrifice your firstborn to the data team.
⏰ Scheduled Tasks
Tell QRY "Every Monday at 9am, send me weekly sales summary" and it becomes your most reliable employee. Unlike Greg from sales, it never forgets, never calls in sick, and definitely never sends you last quarter's numbers by mistake.
📊 Smart Visualizations
Automatic charts that look like you spent hours in Excel when you actually just asked a question. Your presentations will look so professional, people might think you hired a designer. (You didn't. You just asked QRY nicely.)
📈 Dashboards
Build custom data visualization dashboards with drag-and-drop layouts, 12+ chart types, and public sharing. Add charts directly from AI conversations, configure auto-refresh, and share with your team or generate public links for external stakeholders. It's like having Tableau but without the learning curve or the enterprise sales pitch.
📁 File Upload Analysis
Got a random CSV someone emailed you at 4:57pm on Friday? Drag, drop, done. No "let me import this into the database first," no "give me until next week to analyze it." Just instant answers from files that mysteriously appear when you need them most.
🤝 Workspaces
Team collaboration that doesn't make you want to quit your job. Share conversations, upload files once for the whole team, and let Claude remember context for everyone. It's like Slack for data analysis, but Claude never posts cat memes during important discussions.
💬 Telegram Bot
Talk to your data from your phone. The same QRY brain — workspaces, RBAC, scheduled tasks — but now in a Telegram chat. Get morning reports delivered to a chat, set up conditional alerts that ping you only when something actually breaks, and ask one-off questions while you're away from your laptop. WhatsApp is on the way.
For Data Analysts
AKA "The Keyboard Warriors"
🔄 DataFlow (ETL/ELT)
"Move the sales table from Oracle to BigQuery." Done. DataFlow is AI-native ETL that understands what you want, figures out the optimal strategy, and actually fixes itself when things go wrong. No YAML configs, no DAG definitions, no 3 AM pages. Just describe what you need and watch your data flow.
🌊 Lakeflow (Data Pipelines & Jobs)
Remember when building data pipelines meant wrestling with Airflow DAGs at 2 AM? Lakeflow is Databricks-style data orchestration with a UX that doesn't hate you. Build pipelines with YAML or drag-and-drop (they sync automatically), schedule complex multi-task jobs, and watch execution progress in real-time with animated DAGs. AI-assisted authoring means you can describe what you want and get working YAML. Now with a full IDE experience: multi-tab editing, keyboard shortcuts, and Git integration. It's like having a senior data engineer who never takes vacation.
⚒️ Forge (Database Migrations)
Migrating a 30-year-old Teradata warehouse used to mean 18 months and three consultants named Brad. Forge is the migration platform that automates the boring parts — DDL translation, schema mapping, row-count validation, gate approvals — for Teradata, Oracle, and Cloudera sources moving to BigQuery (or Cloudera/Iceberg). Self-healing LLM translation, six built-in validation kinds, steering-committee gates, and a chat tool that lets you approve gates and start waves from a conversation. Brad is now free to consult elsewhere.
📂 Git Folders (Version Control)
"final_v3_REALLY_FINAL.qrynb" is not a version control strategy. Git Folders brings professional Git integration to your notebooks, pipelines, and jobs. Track every change, create branches for experiments, sync with GitHub/GitLab/Bitbucket, and resolve conflicts when teammates edit the same files. CI/CD integration lets you automate deployments. It's like your codebase, but for data workflows.
📈 Automated Data Profiling
While you sleep, QRY is analyzing your tables, finding data quality issues, and learning patterns. It's like having an intern who works 24/7, never complains, and actually produces useful results. (Plus, no awkward small talk about the weather.)
📚 Domain Context
Upload your company's 200-page glossary that nobody actually reads, and QRY will. Then it'll use that knowledge to understand your weird internal jargon. Finally, someone who knows that "Project Falcon" is actually the Q3 marketing campaign and not a bird-watching initiative.
📓 Notebooks
Stop losing your best prompts in conversation history. Create reusable, parameterized analysis workflows that you can run repeatedly with different inputs. It's like Jupyter notebooks but for AI prompts instead of code - with a full IDE experience including Command Palette (Cmd+P), split view, cell dependencies graph, keyboard shortcuts, and multi-tab editing. Includes an AI assistant that helps you write better prompts - because even prompt engineers need prompting sometimes.
🐍 Python Execution
Need statistical analysis? Custom visualizations? A matplotlib chart that'll make your thesis advisor weep with joy? Just ask. QRY runs Python code and even lets you download the results. It's like having a Jupyter notebook that reads your mind.
🧠 ML Hub (Machine Learning)
Train, experiment, and monitor ML models entirely through conversation. "Train a model to predict churn" becomes a deployed XGBoost classifier in minutes. Compare algorithms with experiment tracking, manage features in a central store, and monitor production models for drift. It's like having a full MLOps platform that doesn't require a PhD to operate.
🔗 Nexus (Data Catalog & API Gateway)
Turn your raw data assets into curated, documented, quality-checked Data Products that anyone can discover and consume. Publish datasets with quality contracts, expose them via REST API for external apps, and search across everything (products + DataHub) in a unified Discover tab. It's like an internal data marketplace that doesn't require six months and a steering committee to set up.
For Administrators
AKA "The Gatekeepers of Sanity"
🔒 Role-Based Access Control (RBAC)
Granular permissions down to individual tables, because yes, Linda from marketing definitely needs sales data, but no, she doesn't need to see the entire payroll database. Sleep soundly knowing you've given everyone exactly the access they need and nothing more.
🛡️ ABAC - Row-Level Security
RBAC says "you can access this table." ABAC says "but only these specific rows." Automatically enforce filters like "company_code = 'E003'" or "region = 'EMEA'" on every query. Perfect for multi-tenant SaaS, holding companies, or when "read access to sales" needs an asterisk the size of Texas. Tag tables automatically, create policies once, protect thousands of tables. Your compliance team will love you.
🗄️ Database Connectivity
Connect to everything: PostgreSQL, Snowflake, BigQuery, that ancient Oracle database from 2003 that somehow still runs critical operations. If it has data, QRY speaks its language. It's like being a database polyglot without the years of therapy.
👥 User & License Management
Track who's using what, enforce license limits, and get comprehensive audit logs. Perfect for when someone inevitably asks "who gave Bob access to the financial data?" and you can pull up the exact timestamp and say "Not me, check the logs."
💰 Budget & Cost Controls
Prevent AI costs from becoming a CFO-summoning event. Set budgets, track spending in real-time, and stop runaway queries before they cost more than your monthly coffee budget. Your finance team will actually smile at you.
🎛️ Model Permissions
Control which AI models people can use. Maybe the interns get Claude Haiku while the C-suite gets GPT-5. It's like having a VIP section, but for AI models, and way less pretentious.
🔌 MCP Integration
Extend QRY with external tools using Model Context Protocol. Connect to APIs, specialized analytics, that custom tool someone built in a weekend. It's like LEGO bricks, but for data tools, and you won't step on them barefoot.
The Extras (Because We're Overachievers)
Cross-Conversation Intelligence
- Semantic Search: QRY remembers that analysis you did three weeks ago about customer churn. You know, the one you can't find in your email.
- Personalized Responses: Talks to your CEO differently than it talks to your data scientists. It's emotionally intelligent AI, basically.
- Context Preservation: Reference previous work without explaining everything from scratch. Finally, an AI that doesn't have the memory of a goldfish.
- Conversation Checkpoints: Time travel for AI conversations. Asked the wrong question? Context got polluted? Just rewind to before things went sideways. It's Ctrl+Z, but for AI.
Enterprise Security (So Your CISO Doesn't Hate You)
- Audit Logging: Complete paper trail for when compliance asks "who accessed what when?" Spoiler: it wasn't you.
- Encryption: Data locked up tighter than your childhood diary. At rest, in transit, everywhere.
- SSO Integration: Because nobody wants to remember another password, and your IT team has enough to worry about.
- Multi-Tenancy: Everyone gets their own sandbox. No peeking at other people's data, no matter how curious you are.
Performance & Scalability (The Boring But Essential Stuff)
- Connection Pooling: Database connections managed so efficiently, your DBA might actually compliment you.
- Query Caching: Ask the same question twice, get the answer instantly the second time. It's like having perfect recall.
- Horizontal Scaling: Handles Black Friday traffic as smoothly as Tuesday afternoon. No sweat.
- Worker Auto-Scaling: Automatically adjusts to handle whatever chaos Monday morning throws at it.
For the Developers (We See You)
API-First Design
- RESTful API that actually makes sense
- OpenAPI documentation (yes, it's actually up to date)
- Webhook support for when you want to get fancy
- SDK-ready for integrations your PM hasn't thought of yet
What Works Right Now (And What's Coming)
✅ Ready to Use Today: AI Analyst, Notebooks, Scheduled Tasks, Python Execution, File Upload, RBAC, Data Profiling, Workspaces, DataFlow ETL/ELT, Dashboards, Lakeflow Pipelines & Jobs, Forge Migration Manager, ML Hub, Git Folders, Conversation Checkpoints, Nexus Data Catalog 🚀 Coming Soon (AKA "We're Working On It"): Real-time streaming
We ship features when they're actually ready, not when marketing wants them. Revolutionary concept, we know.
Lost? Confused? Need a Human?
- Getting Started: Our Quick Start Guide - it's actually quick, we promise
- User Guide: The comprehensive guide for when you have time to read
- Admin Guide: Administration docs for the brave souls managing this thing
- Release Notes: See what's new and what bugs we fixed before you noticed them
Making data accessible to everyone, one conversation at a time. Because honestly, life's too short to write SELECT * FROM ever again.
Last updated: January 2026