Definite is live · free plan, paid from $250/mo · last verified 5 Nov 2026 · viability healthy
Definite
Definite turns plain-English questions into self-hosted data apps backed by 500+ connectors and an AI analyst named Fi.
For a small company consolidating a patchwork stack, Definite's unlimited-users Standard tier at $250/mo with every connector is a concrete offer, and a free tier that runs Fi against real data de-risks the trial. The credit meter is the constraint to model before you commit: 100 credits/mo is about 80 Fi sessions, then $1 a credit. Buy it for self-hosted deployment and app-building agents; skip it if you need Spark-scale compute or a finished SOC 2 Type II today.
Verdict generatedVerified 8d ago · liveness 79/100 · cite: rightaichoice.com/tools/definite
- Founders and CEOs who want AI analytics without hiring a data team
- Revenue operations teams unifying sales, billing and marketing data in one place
- Finance teams needing drill-down dashboards and the SQL audit trail behind every number
- Companies with data residency or self-hosting requirements in AWS, GCP, Azure or Kubernetes
- Teams processing Spark-scale datasets that need Databricks-class compute
- Organizations wanting pixel-level, hand-crafted BI dashboard design
- High-frequency scheduled workloads that will burn past the included monthly credits
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Skip Definite if your workloads are Spark-scale or your scheduled jobs run often enough that the shared credit meter — 100 credits/mo on Standard, then $1 per credit — would outrun the flat price.
Every compute hour and every 100K AI tokens draw from the same credit pool, so extra credits cost $1 each once Standard's 100/month runs out.
Standard at $250/mo with unlimited users undercuts per-seat BI tools at any real team size and sits far below the ~$182k/yr five-tool patchwork Definite compares itself to. It costs more than Metabase or Lightdash self-hosted, and less than Snowflake or Databricks once you factor in the warehouse bill. Annual billing saves 8%.
In short
Definite — Definite turns plain-English questions into self-hosted data apps backed by 500+ connectors and an AI analyst named Fi. Best for Founders and CEOs who want AI analytics without hiring a data team, Revenue operations teams unifying sales, billing and marketing data in one place, Finance teams needing drill-down dashboards and the SQL audit trail behind every number. Free to start; paid plans from $250/mo.
No head-to-head comparison for Definite yet — the alternatives below are the closest matches we list.
What is Definite?
Definite — Definite turns plain-English questions into self-hosted data apps backed by 500+ connectors and an AI analyst named Fi. Best for Founders and CEOs who want AI analytics without hiring a data team, Revenue operations teams unifying sales, billing and marketing data in one place, Finance teams needing drill-down dashboards and the SQL audit trail behind every number. Free to start; paid plans from $250/mo.
Definite bundles ingestion, a lakehouse, a semantic layer, dashboards and an AI analyst called Fi into one data platform you deploy in your own AWS, GCP, Azure account or any Kubernetes cluster. The pitch is aimed squarely at 10–100 person companies tired of paying five vendors — the vendor's own comparison stacks Fivetran, Snowflake, dbt, Looker and Mode at roughly $182k/yr versus one login and one bill. Fi returns a complete data app, not a lone chart: sidebar, filters, KPI tiles, tables and an inspector that surfaces the SQL behind every number, with component-level editing so you can rework one chart while the rest of the layout holds. A semantic layer defines metrics once so dashboards, alerts and embedded apps share the same definitions. The platform speaks MCP natively, letting Claude, Cursor, ChatGPT or a custom SDK agent pull schema, lineage and semantic context without glue code, and DuckDB-Wasm serves sub-second client-side search — the site demos 4.2M rows from a 318 MB parquet file with zero server round-trips. Pricing is credit-based, not per-seat: Free covers 2 users, 2 connectors, 1 GB storage, daily sync and 5 credits a month; Standard is $250/mo with unlimited users, all 500+ connectors, hourly sync, 10 GB storage and 100 credits, where one credit equals a compute-hour unit or 100K AI tokens and extras run $1 each. Best fit is founders, finance, RevOps and customer success teams that need answers from sales, billing and product data without hiring a data engineer — especially where data residency rules out a hosted SaaS. It is not a Spark-scale Databricks replacement, and heavy scheduled workloads will eat through the included credits.
Key features
- Fi AI analyst builds a full data app with sidebar, filters, KPI tiles and tables, not a single chart
- Inspector on every element shows summary, facts, breakdown and the SQL behind each number
- Component-level AI editing: change one chart with the agent and leave the rest of the layout untouched
- 500+ native connectors including Salesforce, HubSpot, Stripe, Postgres, Snowflake, BigQuery and any REST API
- Semantic layer with metric definitions reused across dashboards, alerts and embedded apps
- MCP server exposing schema, lineage and semantic context to Claude, Cursor, ChatGPT and custom agents
- Browser-native DuckDB-Wasm search across millions of rows with zero server round-trips
- Private single-tenant deployment in your own AWS, GCP, Azure account or any Kubernetes cluster
- Custom data app visualizations including maps, cohort grids and revenue cockpits
- Embeddable charts and data apps for customer-facing analytics
- Slack alerts, email alerts, CSV/Excel/JSON exports and Google Sheets syncs
- Automated writes, real-time reads and external syncs for data activation
- Role-based access control with SSO (SAML/OIDC), audit logs and SCIM on Enterprise
- Python Runner and a custom analysis service for bespoke development
- CLI-driven self-host install with air-gapped image mirroring, backup and restore
Behind the verdict
The question I'd ask before signing up is not 'can it do BI' but 'do I want my analytics agent writing whole apps?' Definite's answer is yes: Fi returns layout, filters, KPI tiles and audit SQL together, then lets you nudge one component while the rest stays put. For a RevOps lead who has been rebuilding the same revenue cockpit in a spreadsheet every quarter, that's a real time sink removed. Pick Definite when three things are true. You're small enough that unlimited users on one $250/mo plan beats per-seat BI. You have residency constraints, so the default private deployment in your own cloud is a feature rather than friction. And you want one bill instead of five — the vendor's own before/after puts a Fivetran-Snowflake-dbt-Looker-Mode stack near $182k/yr. Pass if your workloads look like Databricks'. There's no Spark-class compute story here, and the credit system rewards interactive querying over constant scheduled jobs. Companies that must show a completed SOC 2 Type II today should note it's still listed as in progress on the pricing page; SSO, SCIM and audit logs sit on Enterprise. The closest alternative depends on what you're replacing. Against Metabase or Lightdash you're buying the private deployment path and an agent that ships apps rather than charts. Against Cloudera-era Hadoop stacks, which Definite targets in its own 2026 comparison post, the draw is escaping the operational baggage. Against Claude or Cursor pointed straight at a warehouse, Definite adds the semantic layer and governance those clients lack on their own. In practice, the MCP server and browser-side DuckDB are the two features we'd trial first. If your agents can pull schema and lineage without glue code, and a multi-million-row dataset loads client-side without a round trip, the
Models under the hood
as of 2026-11-08
Limitations
- Definite is a private single-tenant deployment in your own AWS, GCP, Azure account or Kubernetes cluster, so you must supply and operate the infrastructure yourself.
- Pricing is credit-based for compute and AI: 1 credit = 1 compute-hour unit or 100K AI tokens, extras are $1 each and storage is $0.05/GB/month, while the Free plan caps at 2 users, 2 connectors, 1 GB storage, daily sync and 5 credits/month.
- On-prem deployment and near real-time sync are Enterprise-only, and SOC 2 Type II is marked in progress rather than completed.
as of 2026-10-18
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Is Definite still active?
Definite is live · free plan, paid from $250/mo · last verified 5 Nov 2026 · viability healthy.
Viability score
How well maintained and how widely used is Definite? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What's new in Definite
Checked 5 days agoAcross the latest 2 updates: 2 news mentions.
HIPAA-Compliant Analytics: What to Actually Look For
Definite argues no analytics tool is HIPAA certified and that a signed BAA, access controls, audit logs and encryption are the criteria that actually matter.
Cloudera Alternatives: Full-Stack Self-Hosted Data Platforms Without the Hadoop Baggage
Positions Definite's self-hosted deployment against IBM watsonx.data, IOMETE, Starburst and Dremio for teams leaving Hadoop-era stacks.
What do users say about Definite?
What people actually say about Definite — is it worth it?
We scanned public community sources for Definite on Oct 15, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 0 of the posts we fetched could be positively tied to Definite. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
How we verified this
Every listed fact about Definite — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 5 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Definite 24 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed limitations, models, platforms
- — changed who it suits, summary, who should skip it, pricing tiers, our verdict, features, description
- — changed pricing fit, features, who should skip it, hidden costs, integrations, switching out, switching in, limitations, description, who it suits, summary, our verdict, use cases, setup time
- — changed features, who it suits, description, our verdict, integrations, who should skip it, pricing tiers, summary
- — changed pricing page
- — changed limitations, integrations, switching in, summary, use cases, switching out, description, hidden costs, who should skip it, setup time, our verdict, pricing fit, features, pricing tiers, who it suits
Showing the 6 most recent of 24 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Definite cost in 2026?
Definite: Free to start; paid plans from $250/mo. Pricing last verified 5 Nov 2026.
Plans compared
Every published Definite tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | A solo founder or two-person team testing whether natural-language analytics works on their own Stripe and Postgres data before spending anything.Adds: Free entry point: 2 users, 2 connectors, 1 GB storage, daily sync and 5 credits/month, with full Fi, dashboards and the semantic layer included. |
| Standard | $250/mo | monthly | A 10–100 person company that wants unlimited seats, every connector and hourly sync without a per-user bill.Adds: Adds unlimited users at one flat price, all 500+ connectors, API access, hourly sync, 10 GB storage and 100 credits/month over Free; annual billing saves 8%. |
| Enterprise | Custom | quote | Regulated or security-conscious organizations that need on-prem deployment, SSO, audit logs and a support SLA.Adds: Adds 1,000+ credits/month, SSO via SAML/OIDC, SCIM directory sync, audit logs, near real-time sync, on-prem deployment and dedicated support with an SLA. |
| Data Team as a Service Add-on | $2,500/moVendor: “$2,500/mo or $100/hr” | monthly | Teams without in-house data engineers who want connector setup, dashboard building and data modeling done for them.Adds: Add-on on any plan: unlimited one-at-a-time requests to senior data engineers at $2,500/mo, or $100/hr ad hoc. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Definite's pricing actually pencils out — and where peers do it cheaper.
Standard at $250/mo with unlimited users undercuts per-seat BI tools at any real team size and sits far below the ~$182k/yr five-tool patchwork Definite compares itself to. It costs more than Metabase or Lightdash self-hosted, and less than Snowflake or Databricks once you factor in the warehouse bill. Annual billing saves 8%.
Has Definite's pricing changed?
No plan price for Definite has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Definite?
Pick Definite if you are Founders and CEOs who want AI analytics without hiring a data team, Revenue operations teams unifying sales, billing and marketing data in one place, Finance teams needing drill-down dashboards and the SQL audit trail behind every number, Companies with data residency or self-hosting requirements in AWS, GCP, Azure or Kubernetes.
Look elsewhere if you are Teams processing Spark-scale datasets that need Databricks-class compute, Organizations wanting pixel-level, hand-crafted BI dashboard design, High-frequency scheduled workloads that will burn past the included monthly credits, Companies needing a completed SOC 2 Type II certification today — the vendor lists it as in progress.
Skip it if Skip Definite if your workloads are Spark-scale or your scheduled jobs run often enough that the shared credit meter — 100 credits/mo on Standard, then $1 per credit — would outrun the flat price.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Definite actually fits — and what changes day-one when you adopt it.
Connect Stripe, HubSpot and Salesforce on the free tier, then ask Fi for MRR growth by region last quarter.
Outcome: An interactive data app with KPI tiles, filters and an inspector showing the SQL behind each figure — no data engineer involved.
Define pipeline and churn metrics once in the semantic layer, then schedule Slack alerts and a Google Sheets sync.
Outcome: Dashboards, alerts and the sheet all read from the same metric definitions, so nobody re-argues the churn number in a Monday meeting.
Deploy Definite into the company's own AWS account using the CLI, then point a Claude agent at the MCP server.
Outcome: Data stays inside the company network while the agent reads schema, lineage and metrics and can build dashboards from inside the repo.
Use cases
- Ask Fi 'What was our MRR growth by region last quarter?' and get an interactive data app with KPI tiles and filters.
- Connect Stripe, HubSpot and Salesforce and build a unified revenue dashboard without writing SQL.
- Let your support team query customer data in natural language directly from Slack.
- Point a Claude or Cursor agent at the MCP server so it can read schema, lineage and metrics while working in your repo.
- Set up automated Slack alerts on churn rate or trial conversions.
- Embed a customer-facing data app in your product with row-level permissions.
- Deploy in your own AWS, GCP or Azure account for data residency and network control.
Setup time & first value
How long it actually takes to get something useful out of Definite — broken out by persona, not the marketing-page minute.
Self-hosted install runs from cloud infrastructure through the definite CLI, with prerequisites, config.yaml and network requirements documented — most teams should budget a day for infrastructure and a further afternoon to connect sources and get a first Fi answer. The vendor's own customer quote describes being up and running in one day.
Switching to or from Definite
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Metabase: connect the same Postgres or warehouse source, rebuild dashboards as data apps with Fi, and re-point scheduled alerts to Slack.
- →From Looker or Mode: recreate metric definitions in the semantic layer, then rebuild the saved looks and reports as data apps.
- →From Fivetran plus Snowflake: swap the connector layer for Definite's 500+ native sources and land data in the built-in lakehouse instead.
- ↗To Metabase: export underlying warehouse tables, rebuild dashboards manually since data apps and the semantic layer don't transfer.
- ↗To Snowflake or Databricks: land the lakehouse tables in the target warehouse and rebuild transformations as SQL models there.
Integrations
Resources & guides
- Documentationdefinite.app
What is Definite
An all-in-one data platform for startups and growing teams.
- Resourcedefinite.app
Definite Blog — AI analytics, lakehouses, modern data stack
Essays on AI analytics, lakehouses, and replacing the modern data stack. Written by the Definite team for people who actually build this stuff.
- Resourcedefinite.app
Definite Pricing — Starts free, scales simply
One flat price, unlimited users, 500+ connectors. Credit-based compute and AI — you pay for what you run, nothing else. Starts free.
- Resourcedefinite.app
Definite Connectors — 500+ native integrations
Native connectors to 500+ SaaS, database, and API sources. Hourly sync, native CDC, row-level security. Plus custom connectors for anything else.
Tutorials & Learning
YouTube returned 6 videos for “Definite”, and we withheld 6: 6 could not be judged, because “Definite” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Definite.
Official links
What are the best Definite alternatives?
The closest alternatives to Definite we list are Databricks AI, DataLab and Pecan AI. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Databricks AI | Freemium | Pricing not published | — |
| DataLab | Freemium | Pricing not published | — |
| Pecan AI | Contact Sales | Custom pricing | — |
Alternatives to Definite
View allDatabricks AI
Databricks runs your lakehouse data, analytics and production AI agents on one governed platform across AWS, Azure and GCP.
Tools that pair well with Definite
Common stack mates teams adopt alongside Definite, with the specific reason each pairing earns its keep.
Databricks AI
Databricks runs your lakehouse data, analytics and production AI agents on one governed platform across AWS, Azure and GCP.
DataLab
DataLab turns plain-English questions into runnable SQL, Python and R inside an AI data notebook you can review and share.
Pecan AI
Pecan AI turns plain-English questions into customer churn, LTV, and conversion predictions that land in your CRM.
Frequently asked questions
Best-of guides
For makers of Definite
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