The product

Your entire data stack. One platform.

Connectors, lakehouse, modeling, BI, and an AI analyst — every layer built to work together. Skip the three-month build, five vendors, and the full-time data engineer.

runtime 08:10recorded — 2026
Mike deploys a data platform end-to-end.
§ Live with
§ 01 — The collapse

Five tools, four bills,
one unanswered question.

The modern data stack was an accident of history. Definite folds it into a single AI-native platform — with one login, one bill, and one source of truth.

— Before
The patchwork stack
Fivetran
Fivetran
ETL · $24k/yr
Snowflake
Snowflake
Warehouse · $80k/yr
dbt
dbt
Transformations · $12k/yr
Looker
Looker
BI · $48k/yr
Mode
Mode
Analytics · $18k/yr
~$182k/yr · 5 contracts · 3 engineersT+ 6 months
→
— After
One platform.
Ingestion
500+ connectors, native CDC
Data lake
Columnar, cheap, fast
Transformations
SQL + versioned models
Apps & dashboards
Where answers live
Fi, the AI analyst
Writes queries, builds charts
Starts free · 1 contract · 0 extra hiresT+ this afternoon
§ 02 — Integrations

Every source. One managed pipeline.

500+ pre-built connectors for the SaaS tools you run on, databases you run, and APIs your team dreams up. CDC-native. We own uptime.

500+ sources
SaaS, databases, file drops, webhooks, any REST/GraphQL API.
Native CDC
Log-based change data capture on Postgres, MySQL, Mongo.
Zero-maintenance
We host, run, and fix pipelines. You watch the data land.
Custom connectors
Build your own in minutes with our SDK or ask Fi to write one.

Plug in everything.
Leave nothing behind.

500+ native connectors. If it has an API, Definite already speaks to it.

§ a / customer & sales systems
SalesforceHubspotPipedriveAttioIntercomZendeskFreshdeskSlackGongSalesloftLinearAsanaClickUpJiraGitHubWorkdayOktaSalesforceHubspotPipedriveAttioIntercomZendeskFreshdeskSlackGongSalesloftLinearAsanaClickUpJiraGitHubWorkdayOkta
§ b / revenue, billing & marketing
StripeChargebeeNetSuiteQuickBooksXeroPayPalShopifyWooCommerceSquareGoogle AdsFacebook AdsLinkedIn AdsTikTok AdsKlaviyoMarketoMailchimpSendGridStripeChargebeeNetSuiteQuickBooksXeroPayPalShopifyWooCommerceSquareGoogle AdsFacebook AdsLinkedIn AdsTikTok AdsKlaviyoMarketoMailchimpSendGrid
§ c / databases, warehouses & analytics
PostgresMySQLSQL ServerMongoDBSnowflakeBigQueryRedshiftDuckDBAmazon S3Google SheetsREST APIGA4MixpanelAmplitudeSegmentPostHogDatadogPostgresMySQLSQL ServerMongoDBSnowflakeBigQueryRedshiftDuckDBAmazon S3Google SheetsREST APIGA4MixpanelAmplitudeSegmentPostHogDatadog
See all 500+ integrations
§ 03 — Data foundation

The warehouse is already here.

Definite's storage is an Iceberg lakehouse powered by DuckLake. Your data is yours, in open formats, queried at sub-second speeds — without the Snowflake bill.

StorageParquet on object storage$0.023/GB
CatalogIceberg · DuckLakeopen spec
EngineDuckDB · parallel · columnarsub-second
GovernanceACLs · time travel · auditbuilt-in
— Head-to-head
Snowflake~$80k/yrproprietarycold start
Databricks~$120k/yrDelta · heavySpark JVM
Definitestarts freeIceberg · openms queries
Open formats · zero lock-in

One definition of revenue.

Define your metrics once in versioned YAML. Every dashboard, every AI answer, every embedded app uses the same numbers.

models/orders.ymlversioned · git-backed
cubes:
  - name: orders
    sql_table: public.orders
    measures:
      - name: revenue
        sql: amount
        type: sum
      - name: arr
        sql: "{revenue} * 12"
        type: number
    dimensions:
      - name: plan
        sql: plan_code
        type: string
      - name: signed_at
        sql: created_at
        type: time
— Powers every consumer
Dashboardsevery chart agrees
Fi · AIanswers grounded in your metrics
MCP clientsClaude, Cursor, your agents
EmbedsSDK, iframe, API
§ 04 — Data apps, not dashboards

Apps that do things BI can't.

Custom visualizations. Bespoke data-heavy applications. Sub-second search across millions of rows, right in the browser.

01 · Custom vizFully custom to the use case
Global Revenue · by country · live
● LIVEQ3 2026
GlobeFlatHeat
USBRGBDENGINJPAU
8 regions · 59,126 customersclick or hover a node →
Detail · Country
US
United States
Revenue
$4.82M
↑ +12% QoQ
Customers
18,402
active 30d
Top products
Core Plan62%
Pro Plan27%
Enterprise11%
Drill to cityCompare →
02 · Component editsEdit one chart with the agent. Leave the rest alone.
Revenue cockpit · Q3 cohort
Revenue by month
Last 12 months
peak $104K
Channel mix
by source
Direct44%
Partner28%
Paid18%
Referral10%
New ARR · Q3
$1.24M
↑ +18.2% vs Q2
Cohort retention
12-week window
W1262%
W0874%
W0482%
W0196%
Fi · editing one component
You selected Revenue by month. Other charts are untouched.
fi
 
ready
03 · Browser-native speedSub-second search across millions of rows.
DuckDBDuckDB-Wasm · client-side
Rows in browser
4.2M
loaded from lakehouse
Dataset size
318 MB
parquet · columnar
Round trips
0
no server query
Query latency
—
p50 over session
Ask in plain English — “Pro users in the US seen this week”
⌘K
USER_IDEMAILNAMEPLANGEOARRLAST_SEEN
usr_af812sarah.k@acme.comSarah KimProUS$2,4002026-10-14
usr_af811m.chen@acme.comMarcus ChenProUS$2,4002026-10-14
usr_af810r.patel@globex.ioRavi PatelTeamIN$2502026-10-14
usr_af809a.kowalski@nova.coAnna KowalskiBizPL$1,8002026-10-13
usr_af808s.nakamura@kore.jpSora NakamuraTeamJP$2502026-10-13
usr_af807d.okafor@terra.ngDaniel OkaforProNG$2,4002026-10-13
usr_af806l.santos@lumen.brLucia SantosFreeBR—2026-10-12
Showing 7 of — · page 1 / —exec: duckdb-wasm v1.3 · zero network
Automations

Schedule pipelines, alerts, and delivery.

Run your whole pipeline on a schedule, push results to the tools your team already uses, and get alerted the moment something looks off. When you need more than configuration, drop into embedded Python — no separate orchestrator to run.

Automation · orders_daily
scheduled · daily 06:00 UTC
Trigger
On a schedule
cron · or event
──── runs the steps in order ────►
Pipeline
Ingest
sync sources
Transform
SQL models
Validate
tests + freshness
Custom step
{ } embedded Python
Deliver
Alert
Slack #ops on anomaly
Email digest
stakeholders · 06:30
Reverse ETL
push to CRM + sheets
deterministic — every run does exactly the same thing, in the same order.
§ 05 — Fi, the AI analyst

Ask a question.
Get a data app.

Not a dashboard. Not a chart. A full application — sidebar, filters, KPIs, tables, and an inspector that explains every number.

fi
 
acme.definite.app/apps/loan-portfolio
Synced · 2m ago
Share
Loan Portfolio
Fintech · Production
Views
Filters
Search filters…
● Dark○ Light
Fi is building your app
✓connectors
schema · loans, borrowers, payments
writing 4 queries
laying out app
Full apps, not charts
Fi builds sidebar, filters, KPIs, tables — not a single chart.
Every number is auditable
Click any chart to see summary, facts, breakdown, and the SQL behind it.
Ask about this
An inspector chat on every element. No more "what does this mean?"
Autonomous

Agents that watch your data and act the moment something matters.

Point an autonomous agent at a single metric and one action. It runs on its own, off by default until you enable it, with a cooldown so it never runs away. Deterministic automations and agentic autonomy, in one platform.

Autonomous agent · watch churn
off by default
Watch
A metric you choose
net revenue churn
→
Judge
One condition
> 5% week-over-week
→
Act
One action
alert #revenue + open doc
◄──── then waits · cooldown 24h before it can act again ────
Scoped to a single metric and a single action. You arm it; you can disarm it anytime.
§ 06 — Bring your own agent

Your data,
in your agents.

Definite speaks MCP natively. Point Claude, Cursor, or any agent at your warehouse — they'll get schema, lineage, and semantic context automatically. No glue code, no scraping, no guesswork.

Schema & lineage
available to any MCP client
Row-level security
permissions travel with the data
Semantic layer
metrics defined once, used everywhere
Connected agents
Claude
Claude
ready · mcp://definite
live
ChatGPT
ChatGPT
ready · mcp://definite
live
◉
Cursor
ready · mcp://definite
live
◉
Custom agent
via SDK
live
Private deployment

Run the entire platform in your own cloud. Your data never leaves.

Deploy Definite into your own AWS, GCP, or Azure account — or anywhere with Kubernetes. You keep control of data, compute, and networking, with the same product experience.

Definite (vendor)
Ships release images. Never accesses your data.
Container registry
versioned images
Helm chart + CLI
deploy / upgrade
┄┄ pull image · you initiate ┄┄►
Your cloud account / datacenter
data never leaves this boundary
The whole platform, in your Kubernetes cluster
Integrations
ingest
Lakehouse
store + model
Fi
AI analyst
Apps + APIs
dashboards
“Definite isn't just a reporting tool. It gives everyone across the company access to data they never had before.”
Omar Mussa
Omar Mussa
Director Credit Strategies at Sunlight Financial
Sunlight Financial logo
§ 07 — Pricing

Pay for answers.
Not seats, rows, or cores.

Credit-based pricing. You pay for queries run, connectors used, and agent time — nothing else. Starts free; scales with you.

See full pricing →
Growth
Free
2 users · 2 connectors · Fi AI assistant
Platform
$250/mo
Unlimited users · 500+ connectors · API
Enterprise
Custom
SSO · SOC 2 · dedicated support & SLA

Your answer engine
is one afternoon away.

Book a 30-minute call. We'll build your first dashboard on the call — or you can stop paying us.