Definite
Definite is a comprehensive solution designed to make complex data analytics and business intelligence (BI) easier. It is structured as a four-layered system. F...
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What is Definite?
Definite is an AI-native data platform that replaces the entire modern analytics stack with a single tool. It pulls all your data from 500+ native connectors into a managed data lake, eliminating the need for engineering teams or SQL expertise. The platform combines ingestion, storage, transformations, business intelligence, and AI-assisted analytics in one unified interface with one login and one bill.
Key features include Fi, the AI analyst that writes queries, builds dashboards, fixes errors, and sets up automations automatically. Definite offers custom data apps that go beyond traditional BI dashboards, providing sub-second search across millions of rows, interactive visualizations, and inspector chat on every element. The platform supports Model Context Protocol (MCP), allowing AI agents like Claude, Cursor, and ChatGPT to access schema, lineage, and semantic context directly from your warehouse without glue code.
Definite is built for startups and growing teams that need to go from raw data to answers quickly without hiring data engineers. It replaces tools like Fivetran, Snowflake, dbt, Looker, and Mode - packages that typically cost ~$182k/year and require 3 engineers - into one platform starting free. The platform is built on open source projects including DuckDB and Apache Iceberg, featuring columnar storage that is cheap and fast.
The platform enables teams to connect data sources via UI or MCP from code editors, write SQL and Python queries, create interactive dashboards, define metrics in a semantic layer for consistent answers, schedule reports, push results to Slack or Google Sheets, and embed dashboards in custom apps. Enterprise features include SOC 2 Type II compliance, SSO/SAML, SCIM directory sync, audit logs, and on-premise deployment options.
Definite pricing
Pricing model: Freemium
Definite offers three pricing tiers with credit-based compute and AI pricing. Free tier: $0 forever, includes 2 users, 2 connectors, Fi AI assistant, daily sync, 1 GB storage, and 5 credits/month. Standard tier: $250/month, includes unlimited users, unlimited connectors (500+ sources), API access, hourly sync, 10 GB storage, and 100 credits/month. Enterprise tier: Custom pricing, includes 1,000+ credits/month, SSO (SAML/OIDC), SOC 2 Type II compliance, near real-time sync, audit logs & SCIM, and dedicated support with SLA. Credits: 1 credit = 1 compute hour or 100K AI tokens. Overage: $1 per credit on Standard, contact sales for Enterprise. Storage overage: $0.05/GB/month. Add-on: Data Team as a Service at $2,500/month or $100/hr ad hoc for unlimited requests to senior data engineers.
Definite pros
- 500+ native connectors with no engineering required
- Managed data lake - nothing to set up or maintain
- Fi AI analyst writes queries and builds dashboards automatically
- One platform replaces 5 tools (Fivetran, Snowflake, dbt, Looker, Mode)
- No per-seat pricing - unlimited users on flat price plans
- Sub-second search across millions of rows in browser
- Model Context Protocol support for Claude, Cursor, ChatGPT agents
- Custom data apps beyond traditional BI dashboards
- Inspector chat on every element explains what each number means
- Built on open source DuckDB and Apache Iceberg
- Semantic layer keeps metrics consistent across team
- Slack and Google Sheets destinations for automated sharing
- SQL and Python support for custom queries
- Scheduled automations for reports and alerts
- On-premise deployment available for Enterprise
- SOC 2 Type II compliance with SSO/SAML and SCIM
- API access with Metrics API and Embeddable Charts
- Python Runner for custom analysis service
- Data Team as a Service option to skip hiring
- Credit-based pricing - pay for what you run only
Definite cons
- Only 2 connectors included in Free plan
- Free plan limited to 2 users maximum
- Free plan has only 5 credits per month
- Free plan sync frequency is daily only
- Standard plan starts at $250/month (expensive for small teams)
- Credit overage costs $1 per credit on Standard
- Storage overage $0.05/GB/month adds up with large datasets
- Enterprise features require custom pricing (no transparent costs)
- Must be US-based startup for Data Team as a Service
- AI tokens limited to 100K per credit
Frequently asked questions about Definite
What is Definite and what does it do?
Definite is an AI-native data platform that replaces your entire analytics stack with a single tool. It pulls data from 500+ sources into a managed data lake, provides ELT, data modeling, transformations, and AI-assisted business intelligence. You connect data once and get answers wherever your team works, without engineering or SQL required.
How many data connectors does Definite support?
Definite supports 500+ native connectors. If your data source has an API, Definite already speaks to it. Connectors include Stripe, HubSpot, Facebook Ads, Google Analytics, Shopify, Salesforce, Airtable, Attio, Intercom, Klaviocre, Linear, NetSuite, Notion, PostHog, Quickbooks, Typeform, Zendesk, Zoho CRM, and many more.
What is Fi, the AI analyst?
Fi is Definite's AI agent powered by GPT-4o that writes queries, builds dashboards, fixes errors, and sets up automations. Fi doesn't just give charts - it builds full data apps with sidebar, filters, KPIs, tables, and an inspector that explains every number. Every number is auditable with SQL behind it.
How does Definite's credit-based pricing work?
You pay for queries run, connectors used, and agent time - nothing else. 1 credit equals 1 compute hour or 100K AI tokens. Free includes 5 credits/month, Standard includes 100 credits/month, Enterprise includes 1,000+ credits/month. Credit overage is $1 per credit on Standard. Storage overage is $0.05/GB/month.
What is the Model Context Protocol (MCP) support?
Definite speaks MCP natively, allowing AI agents like Claude, Cursor, and ChatGPT to point at your warehouse and automatically get schema, lineage, and semantic context. No glue code, scraping, or guesswork needed. Role-based access control permissions travel with the data, and metrics are defined once in the semantic layer for use everywhere.
Does Definite require engineering or SQL knowledge?
No engineering or SQL is required. Definite provides pre-built extractors for 500+ sources and a managed data lake that needs nothing to set up or maintain. Fi AI assistant writes queries for you, builds dashboards, and fixes errors. You can use the visual UI or work from your code editor via MCP.
What destinations can I push data to?
Definite supports pushing data to Slack (for alerts and reports), Google Sheets (for syncs), CSV, Excel, and JSON exports. You can set up email alerts, Slack alerts, automated writes, and real-time reads. Enterprise also supports external syncs for data activation, CRM syncs, and webhook syncs.
What security and compliance features does Definite offer?
Enterprise tier includes SOC 2 Type II compliance, SSO/SAML, SCIM directory sync, audit logs, data residency options (EU, US, etc.), custom storage, and on-premise deployment. Standard and Free tiers have basic security but lack these enterprise-grade features.
How does Definite compare to the traditional data stack?
The traditional stack requires 5 tools (Fivetran for ETL at $24k/yr, Snowflake warehouse at $80k/yr, dbt transformations at $12k/yr, Looker BI at $48k/yr, Mode analytics at $18k/yr) totaling ~$182k/year with 5 contracts and 3 engineers over 6 months. Definite replaces all of this with one platform, one contract, zero extra hires, available in one afternoon starting free.
What is the Data Team as a Service add-on?
Data Team as a Service lets you skip hiring - Definite runs your data team for $2,500/month or $100/hr ad hoc. You get unlimited requests to senior data engineers for connector setup, dashboard building, and data modeling. Available on any plan but requires you to be a US-based startup with more than 10 employees.