- BFSIBanking, Financial Services & Insurance
- IT & ITESIT services, BPM, GCCs & SaaS
- Retail & e-commerceStore chains, D2C brands & marketplaces
- HealthcareComing soon
- ManufacturingComing soon
Databricks Genie
The sales head wants last quarter by region before lunch. The data team’s queue is three days long — Databricks Genie lets business users ask company data questions in plain language — Genie One for chat and search, Genie Agents curated by the data team — answered from Unity Catalog–governed lakehouse tables, in the browser, Excel, Slack or Teams.
Buy through TechBag
Same software. Better outcome — at a lower cost.
How it’s rated
Full scoreboard ↓Quick answer
The Databricks platform family
This page covers Databricks Genie — Genie One and Genie Agents for business users; Genie Code, the developer sibling, has its own page. The rest:
Quick facts
30-second orientation- Product
- Genie One (chat, search and documents for business users) and Genie Agents (curated no-code agents)
- Maker
- Databricks, Inc., San Francisco; set up in 2013 by Apache Spark’s original authors; valued at $190B (Aug 2026)
- Formerly
- Genie One was Databricks One until April 2026; Genie Agents were called spaces until 8 July 2026
- Delivery
- Part of the Databricks service in your own AWS, Azure or Google Cloud account; nothing to install, no seats
- Where users ask
- Web, Slack and Teams (Public Preview), Excel, Google Sheets, a macOS app (Beta) and an MCP server
- Meter
- Model work bills on the Serverless Real-time Inference SKU, at $0.07 per DBU in US East, $0.074 in AWS Mumbai or Azure Pune
- Free window
- Named users’ LLM use of Genie One and Genie Agents costs nothing until 31 Jan 2027; compute is still billed
- Analysts
- Databricks is a Visionary in Gartner’s 2026 Magic Quadrant for Analytics and BI Platforms, not a Leader
- India
- India Geo exists; Genie Agents chat stays in-Geo, while Genie One chat and Agent mode need cross-Geo processing
- In India via
- TechBag — a priced pilot past the free window, Geo settings checked, quote itemised in INR with GST
Understand conversational analytics before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
AI answers for business users
Genie lets staff ask company data questions in plain language and get a table, a chart and the SQL behind it.
Tickets to the MIS team vs Databricks Genie — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Tickets to the MIS team | Databricks Genie |
|---|---|---|
| Getting a number | A ticket to the MIS team | A plain-language question, answered with its SQL |
| Where people ask | A BI portal few open | Excel, Sheets, Slack, Teams or the web |
| Data copies | Extracts into a BI server | Queries the governed lakehouse tables directly |
| Access rules | Rebuilt in each tool | Unity Catalog grants, masks and row filters reused |
| AI cost | Per-seat add-on licences | Per-DBU meter; named users’ LLM use free to Jan 2027 |
| What it is NOT | — | A BI tool for data outside Databricks, or free compute |
The cheapest test is one Genie Agent on one domain before 31 January 2027: you pay only for warehouse compute while you learn how much people really ask.
The four pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Genie One
A chat, search and documents home for staff who never open a notebook; it opens dashboards and Genie Agents from one place, on the web or in Slack, Teams or Excel.
Genie Agents
Analysts pick the tables, write instructions and sample queries, and publish a scoped agent for one domain, such as collections or inventory, that users then question in plain language.
Context
Unity Catalog grants decide what each user may see; the Genie Ontology, a context graph that learns from real usage, adds business meaning. Ontology pricing is still marked coming soon.
Compute and meter
Each answer runs SQL on a warehouse billed at warehouse rates, while the model work bills as Serverless Real-time Inference DBUs once a promotion or the monthly allowance is used up.
Users ask in Genie One or a curated Genie Agent, Unity Catalog decides what they see, and a SQL warehouse runs the query — compute and inference bill separately.
Nine capabilities. Ask, curate, govern.
Databricks Genie answers business questions from governed lakehouse tables, under each user’s own Unity Catalog permissions.
Plain-language questions
Genie One answers questions such as last quarter’s sales by region with a table, a chart and the SQL it ran, so the result can be checked.
Excel, Sheets, Slack, Teams
Since August 2026 Genie One works inside Excel and Google Sheets; the Slack and Teams apps, both Public Preview, answer in a channel or DM.
Web search and desktop
A Beta web search lets Genie One cite outside sources for current facts, and a macOS desktop app (Beta) keeps it out of the browser.
Scoped agents per domain
Data teams build Genie Agents on chosen tables with instructions and example SQL, so a finance user only asks inside a finance scope.
Business context that learns
The Genie Ontology is a context graph built from actual usage, plus Pages that people model by hand; its own price is not yet published.
Agents shared outside
A Genie Agent can be shared with another organisation over OpenSharing (Beta since June 2026), where the recipient mounts it locally.
Unity Catalog permissions
Every query runs as the asking user under Unity Catalog grants, so row filters and column masks set by the data team still apply.
Answers for other agents
The Genie One MCP server, GA since September 2026, lets outside MCP clients ground their data questions in Genie with permissions enforced.
Budgets and alerts
Admins cap Genie spend per user through Unity AI Gateway budgets and alerts; the 150 free monthly DBUs are never blocked by a budget.
Watch Databricks Genie in action
Three videos from Databricks’ official channel, all from 2026: the Genie One launch session with a demo, a Genie Agents build tutorial and a beginner’s guide to Genie One.
Introducing Genie One: the AI coworker that understands your data (with demo)
A 22-minute Data + AI Summit 2026 session that introduces Genie One and demos it answering business questions on live data.
Genie Agents Tutorial: Build & Customize AI Data Agents
A five-minute walkthrough of building a Genie Agent: picking tables, adding instructions and tuning it for one team.
Genie One Beginner's Guide: Explore Data & Automate Tasks
A six-minute beginner’s tour of Genie One for business users: exploring data, asking follow-ups and automating routine tasks.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Most business questions wait in a data team’s queue. Databricks Genie answers them on governed data.
Here’s what genuinely sets it apart — and exactly where it stops.
Questions answered where the data already lives
Genie reads the same Delta and Iceberg tables your engineers maintain, so there is no extract to a BI server and no second copy to keep fresh. Each answer shows the SQL it ran, which lets an analyst check a number before it reaches a board pack, and the asking user’s Unity Catalog grants decide what comes back.
A cheap pilot window, with a clear end date
Databricks is waiving LLM charges for Genie One and Genie Agents used by named people, under a promotion that runs to 31 January 2027. The warehouse that executes each query is still billed at normal rates, so a pilot costs compute only. From February 2027, each user gets 150 DBUs a month before the meter starts.
It goes to Excel, Slack and Teams
Business users rarely open a data platform. Genie One now sits inside Excel and Google Sheets, answers in Slack and Teams channels (both in Public Preview), runs as a macOS app in Beta, and exposes an MCP server so other agents can ask it. Data teams decide the scope through curated Genie Agents.
Where it stops
It only answers over data governed in a Databricks workspace. Service principals pay for every DBU, the Genie Ontology has no price yet, and mobile access is by request. In the India Geo, Genie One chat and Agent mode leave India for processing unless you turn cross-Geo off and lose them. Model the bill from February 2027 before rollout.
The numbers behind the platform
What your Databricks Genie rollout looks like
Pick one domain
Choose a domain with repeat questions, such as collections or stock, and list the tables and metric definitions it uses.
Settle the Geo question
Decide with legal whether cross-Geo processing stays on for an Indian workspace, and record it in the DPDP register.
Build and test an agent
Create a Genie Agent with instructions and sample SQL, then test it on last quarter’s real questions and check every number.
Open it to users
Roll out to one team in Excel, Slack or Teams, set Unity AI Gateway budgets, and track warehouse compute per answer.
Price February 2027
Project DBUs per user past the 150 allowance from the pilot data, then take TechBag’s INR quote with GST for the rollout.
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“Branch managers now ask collections questions in Teams instead of mailing the MIS desk. The SQL under each answer won over our auditors.”
“Our supply planners use it from Excel. It took two rounds of instructions on the agent before plant codes were read the right way.”
“Free LLM use made the pilot easy to approve, but the serverless warehouse bill still arrived. Budget for compute from day one.”
“Our Mumbai workspace keeps data here, but chat is processed outside India by default. Legal needed a week on the cross-Geo setting.”
“Scoping one Genie Agent per sales region kept answers tight. Broad agents across forty tables gave vaguer results.”
“Row filters we had already set in Unity Catalog just worked, so a zonal head never sees another zone’s numbers in an answer.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and review-site grids score satisfaction, not fit for your estate. So here’s TechBag’s synthesis of the AI analytics and conversational BI market — tap any vendor to see why it sits where it does.
TechBag AI Analytics Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Named users’ LLM use free to Jan 2027; then $0.07 per DBU.
Business-user Reach × Governed Grounding
The grid nobody publishes — how many places business users can ask vs how firmly answers are tied to governed definitions, permissions and curated scope.
Seven surfaces plus MCP; Unity Catalog grants and curated agents.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Databricks Genie vs the AI analytics field
Against Snowflake CoWork, ThoughtSpot Spotter, Microsoft Power BI Copilot, SAP Analytics Cloud and Salesforce Agentforce — on data reach, grounding, surfaces, price, extra charges and India processing.
| Dimension | Databricks Genie | Snowflake CoWork | ThoughtSpot Spotter | Microsoft Power BI Copilot | SAP Analytics Cloud | Salesforce Agentforce |
|---|---|---|---|---|---|---|
| What it is | Lakehouse data coworker | Snowflake’s work agent | Agentic BI analyst | Copilot in Power BI | BI and planning suite | CRM agent platform |
| Deployment | In your workspace | In your account | Separate SaaS | Paid Fabric capacity | SAP-hosted SaaS | Salesforce cloud |
| Data it answers from | Workspace tables | Account plus MCP | Several warehouses | Fabric items | SAP-first sources | Customer records |
| Grounding | Curated agents | Account policies | Semantic model | Semantic models | SAP data layer | Trust layer |
| Where users ask | Seven surfaces | Snowflake UI, MCP | ThoughtSpot UI | Microsoft 365 | SAP apps | Slack and voice |
| Integrations | MCP server, GA | AI Gateway for MCP | Embedded analytics | Azure and M365 | SAP portfolio | Across Salesforce |
| Pricing model | DBUs, no seats | AI credits, no seats | Quote only | Uses capacity | Quoted by SAP | Three meters |
| Published entry price | $0 LLM to Jan 2027 | $2.00 per AI credit | Not published | F2 about $262/month | Not published | About $2 a conversation |
| What else is billed | Compute, robots | Warehouse credits | Rest of the suite | Throttles capacity | Joule AI units | CRM seats |
| Spend control | Budgets per user | Watch the credits | Set by the contract | Admin and groups | Not published | Credits drawn down |
| India data region | Stored in, chat out | Mumbai or Pune | No India region | US processing | Not published | Hyperforce India |
| Trial and pilot | Free LLM for pilots | Trial credits | Sales-led | No trial capacity | Per-deal quote | INR quotes |
| Lock-in and exit | Bound to Databricks | Bound to Snowflake | Warehouse-agnostic | Bound to Fabric | SAP-held models | Bound to Salesforce |
| Best fit | Databricks shops | Snowflake shops | Many warehouses | Microsoft estates | SAP finance teams | Sales and service |
Which approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Databricks Genie if…
- ✓Your governed data already lives in a Databricks workspace and business users keep raising tickets for numbers
- ✓You want answers in Excel, Slack or Teams that respect the Unity Catalog grants you already maintain
- ✓You can pilot before 31 January 2027, paying only warehouse compute, and model the DBU bill that follows
Compare alternatives if…
- ✓Data also sits in Snowflake or BigQuery — ThoughtSpot Spotter reads all of them, Databricks included, without copies
- ✓Your estate is Snowflake — CoWork answers from the same account and stores data in Mumbai or Pune
- ✓Prompts must be processed inside India by default — check each vendor’s processing location, not just storage
Do not expect…
- ✓Free compute — the SQL warehouse behind each answer is billed from the first question
- ✓A free ride for automation — service principals pay for every DBU
- ✓A published price for the Genie Ontology, or a Leader placement in Gartner’s 2026 BI quadrant
TechBag has no AI analytics guide yet, so Databricks Genie sits outside the category guides. Browse all products to compare it with the rest of the catalogue. →
What do ad-hoc data requests cost you?
Drag the sliders (ad-hoc data requests a year; analyst-hour cost). Estimates model the analyst time spent on one-off number requests from business teams, at an assumed 1.5 hours per request, with 70% of it removed when users ask a curated Genie Agent themselves. Both figures are assumptions, and compute and DBU charges are not netted off. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Three ways to consume it
Pay as you go, no seats. Genie bills LLM work on the Serverless Real-time Inference SKU: $0.07 per DBU in US East and $0.074 in AWS Mumbai and Azure Central India. Until 31 January 2027, Genie One and Genie Agents LLM use by named users is free; from 1 February 2027 each user gets 150 free DBUs a month (about $10.50 in US East) before the meter runs. SQL warehouse compute and service principals are billed at all times. TechBag quotes in INR with GST.
Genie One + Genie Agents
Best for business users on governed data
- LLM use free for named users to 31 Jan 2027
- Then 150 DBUs a user a month, $0.07 per DBU after
- No seat fee; service principals always pay
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ SQL warehouse compute
Billed from the first question
- Each answer runs SQL on a warehouse
- SQL Serverless $0.77 per DBU in Mumbai
- Not covered by any Genie promotion
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your requirements and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
Will cross-Geo processing stay on for our Indian workspace, given Genie One chat cannot run without it?
Which SQL warehouse type will answer Genie questions, and what does it cost per hour in our Indian region?
What will each user consume past 150 DBUs a month once the free window closes on 31 January 2027?
Which automated or embedded uses run as service principals, and so pay for every DBU from day one?
Which tables, metrics and instructions go into each Genie Agent, and who on the data team owns their accuracy?
When will Genie Ontology be priced, and will answers we rely on change if we decide not to pay for it?
Are the Slack and Teams apps, both in Public Preview, acceptable for production use under our policies?
Do we buy through a Databricks commit or the Azure invoice? Ask TechBag for either in INR with GST.
Questions buyers ask
Ready to evaluate Databricks Genie?
Pick one domain your business users keep asking about, or let a TechBag advisor build the first Genie Agent, settle the cross-Geo question and price the February 2027 bill in INR.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.