Start free. Then pay per minute.

Every account starts with $50 in credit — no card, no seat licenses, no annual commit. When you're ready to run more, you pay for exactly what you run: billed per-minute, tracked in real time, and every rate published on this page.

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$50 credit · No card · First answer in 5 minutes

These rates are for Databasin Cloud (SaaS). Prefer your own Azure tenant? See Self-Install

Every Rate, Published

Five billing categories. No hidden line items.

All usage is metered per-minute and displayed in your Billing & Subscription dashboard in real-time.

Show me example industry usage
Pipeline Runtime
ETL/ELT jobs — extracting, transforming, and loading data into your lakehouse. Billed start-to-finish, rounded up to nearest minute.
$5.00 / hour
$0.083 / minute
Automation Runtime
Scheduled workflows and custom container jobs. Same metering as pipelines — start to finish, rounded up to nearest minute.
$5.00 / hour
$0.083 / minute
AI Tokens (Databasin One)
Tokens for natural language queries, SQL generation, and AI analysis. Typical interaction uses 2,000–8,000 tokens. One flat rate — no input/output split.
$15 / 1M tokens
$0.015 / 1K tokens · $0.000015 / token
Lakehouse Compute
Trino, Doris & Spark cluster compute. Billed per node, per minute. Stopped clusters cost nothing.
Size vCPU Memory Per Hour Per Minute
XSmall 4 8 GB $2.00 $0.033
Small 4 16 GB $3.00 $0.050
Medium 8 64 GB $4.00 $0.067
Large 16 128 GB $5.00 $0.083
XLarge 32 256 GB $6.00 $0.100
Storage
Data stored in your lakehouse — bronze, silver, and gold layers, uploaded files, and shared data. Measured as a daily snapshot.
$0.024 / GB / month
$24.00 / TB / month
How it works: Storage is measured once per day. Your bill reflects the latest snapshot, not the peak. Deleting data reduces your bill in the next cycle. Includes all data across all projects.

All usage is billed monthly via Stripe. View current-period usage anytime in Admin → Organization → Billing & Subscription .

Cost Builder

Build your estimate. See the real number.

Set your expected usage below. The estimate updates in real-time using the exact rates above.

Start from a typical usage profile
Pipeline Runtime
Pipeline cost / month $0
Automation Runtime
Automation cost / month $0
Lakehouse Compute
Compute cost / month $0
AI Tokens (Databasin One)
AI cost / month $0
Storage
Storage cost / month $0
Your Estimate
Pipelines $0
Automations $0
Compute $0
AI Tokens $0
Storage $0
Estimated total $ 0
per month (30 days)

Based on the exact published rates above. Actual usage may vary. Stopped clusters cost nothing.

See how it works
Private Azure Tenant · Self-Install

Running in your own tenant?
Different model entirely.

Install Databasin from the Azure Marketplace directly into your own Azure tenant — built for teams that carry their own security and compliance posture. None of the meters on this page apply: you pay Azure directly for your own compute and LLM, and Databasin is licensed per module.

  • Click-and-install from the Azure Marketplace
  • Data never leaves your tenant — your network, your policies, your keys
  • Unlimited seats, per-module licensing
  • Your compute, your LLM — paid to Azure, no markup
Talk to us about Self-Install Per-module pricing tailored to your footprint
Why this model

One platform, one meter — not five tools, five invoices

Pipelines, automations, compute, AI, and dashboards are all included in the rates above. There is no separate connector vendor, orchestration tool, BI license, or AI API bill to assemble — and no charge at all while your clusters are stopped. Comparing against a specific stack? See Databasin vs Snowflake or Databasin vs Fabric.

Common Questions

Everything you'd want to know before you start

No. Compute billing only applies while your cluster is running. Stopped clusters have zero cost. You can stop and start clusters anytime from your dashboard.
Yes. Compute resources were consumed regardless of whether the job succeeded or failed. A pipeline that runs for 2 hours and fails at the end is billed for 2 hours. This is consistent with how all cloud compute billing works.
Storage is based on a daily snapshot. Your bill reflects the most recent measurement, not the peak. If you clean up data mid-month, your bill goes down. Storage includes all data across all projects within your organization.
No. Databasin is purely usage-based. Add as many users as you want — you're only billed for compute, pipeline, AI, and storage usage. This model rewards adoption rather than penalizing it.
Contact your Databasin administrator to discuss usage alerts and budget controls. We're building self-serve spending controls for an upcoming release.
Yes. Every new account starts with $50 in credits — enough to run pipelines, query data, and explore the platform. No credit card required. When credits run out, add a payment method to continue.
All major credit and debit cards via Stripe. Invoices are generated at the end of each billing period and visible in Admin → Organization → Billing & Subscription → Invoice History.
Yes. If your organization uses its own LLM API key (BYOLLM), you still pay the Databasin platform token fee for orchestration, schema context, and query governance. Your LLM provider charges are separate.
Yes — Databasin Self-Install deploys from the Azure Marketplace directly into your own tenant, for teams that carry their own security and compliance posture. You get unlimited seats, and you pay Azure directly for your own compute and LLM usage; Databasin is licensed per module. The consumption rates on this page apply to Databasin Cloud only — contact us for Self-Install licensing.
Getting Started

Up and running in three steps

1
Sign up
Create your account and get $50 in credits instantly. No credit card, no commitment.
2
Connect your data
Add your databases, APIs, or files. 75+ connectors ready to go out of the box.
3
Start querying
Write SQL, ask questions in plain English, or build pipelines. Pay only for what you use.
Ready to Start

See the numbers for your environment.

The builder above gives you directional pricing. Our team can give you exact numbers scoped to your data volume, connectors, and deployment model.

Try it free See how it works