What is Definite used for?

Definite is an AI-native data platform that centralizes data from 500+ sources, lets you ask questions in plain English, and builds full data apps—replacing the need for separate ETL, warehouse, transformation, and BI tools.

How do credits work in Definite?

Credits are a unified way to pay for compute and AI usage. 1 credit equals 1 compute hour or 100K AI tokens. The Standard plan includes 100 credits per month, with additional credits costing $1 each. Unused credits do not roll over.

Are all connectors free?

Yes, on Standard and Enterprise plans, all 500+ connectors are included at no extra cost. The Free plan includes 2 connectors. Connectors cover sources like Shopify, HubSpot, Salesforce, databases, and any REST API.

Can I deploy Definite on-premise?

Yes, Definite offers on-premise deployment in your own cloud (AWS, GCP, Azure, or any Kubernetes environment). This option is available for Enterprise customers and provides full control over data, compute, and networking.

What is Data Team as a Service?

Data Team as a Service is an add-on that provides unlimited one-at-a-time requests to senior data engineers for tasks like connector setup, dashboard building, and data modeling. It costs $2,500/month or $100/hour ad hoc.

Definite

Updated Jul 28, 2026

Centralize data, ask questions in plain English, and ship full data apps. Pipelines, dashboards, AI agents in one platform. 500+ connectors. Try free.

Categories:

Data Analysis|

Business|

#ai analytics#data platform#natural language query#semantic layer#model context protocol

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Editor's Verdict

Rating: 4.2/5.0•Reviewed by RAGWiki

At $0, Definite stands out as a powerful solution in the data analysis,business landscape. It is especially well-suited for professionals like Founder / CEO and Data Analyst. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid limited free plan. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

AI Analyst (Fi)
500+ Native Connectors
Data Apps
Model Context Protocol (MCP)

In-Depth Review: What is Definite?

Definite is an AI-native data platform that unifies ingestion, transformation, analytics, and AI agents into one system. Instead of the traditional patchwork of ETL, warehouse, dbt, and BI tools, Definite provides a single platform where teams can centralize data, ask questions in natural language, build custom data apps, and leverage AI agents like Fi for instant answers. With 500+ native connectors, credit-based pricing, and support for MCP (Model Context Protocol), Definite enables anyone to go from zero to AI analytics in a single afternoon, keeping data private with on-prem deployment options.

Core Features

AI Analyst (Fi)

Ask questions in plain English and get full data applications with sidebars, filters, KPIs, tables, and an inspector that explains every number.

500+ Native Connectors

Plug in everything from Salesforce, HubSpot, Stripe, Postgres, and any API without extra cost on standard plans.

Data Apps

Build custom visualizations, browser-native dashboards with sub-second search across millions of rows using DuckDB-Wasm.

Model Context Protocol (MCP)

Point Claude, Cursor, or any agent at your warehouse to access schema, lineage, and semantic context automatically.

On-Premise Deployment

Run Definite in your own cloud (AWS, GCP, Azure, or Kubernetes) for full control of data, compute, and networking.

Semantic Layer

Define metrics once and use them everywhere, ensuring consistency across all analyses and applications.

Pricing

Free

2 users
2 connectors
Fi AI assistant
Daily sync
1 GB storage
5 credits / month

Standard

$250/month

Unlimited users
Unlimited connectors (500+ sources)
API access
Hourly sync
10 GB storage
100 credits / month

Enterprise

Custom

Unlimited users
Unlimited connectors
1,000+ credits / month
SSO (SAML / OIDC)
SOC 2 Type II (in progress)
Near real-time sync
Audit logs & SCIM
Dedicated support & SLA
On-prem deployment available

Data Team as a Service (Add-on)

$2,500/month or $100/hr ad hoc

Unlimited requests to senior data engineers
Connector setup, dashboard building, data modeling

Pros and Cons

Pros

All-in-One PlatformReplaces Fivetran, Snowflake, dbt, Looker, and Mode with a single AI-native platform, reducing cost and complexity.
AI-Powered AnalyticsFi, the AI analyst, answers questions in plain English and builds full data apps, not just charts, making insights accessible to everyone.
On-Premise OptionDeploy in your own cloud for full data control, ideal for enterprises with strict security and compliance requirements.
Unlimited Users on Paid PlansStandard and Enterprise plans offer unlimited users with no per-seat pricing, encouraging company-wide adoption.
Credit-Based PricingPay only for what you use (compute and AI tokens) with transparent credits, avoiding wasted spend on idle seats or storage.

Cons

Limited Free PlanFree plan restricts to 2 users and 2 connectors, which may not be sufficient for larger teams or multiple data sources.
Credit System ComplexityCredits for compute and AI tokens may require monitoring to avoid overage charges, adding a layer of budget management.
On-Premise Requires KubernetesPrivate deployment demands Kubernetes expertise, potentially creating a barrier for smaller teams without DevOps support.
Data Team as a Service Extra CostWhile helpful, the add-on service ($2,500/month) is an additional expense on top of the platform subscription.
SOC 2 Still In ProgressEnterprise plan mentions SOC 2 Type II as 'in progress', which may be a concern for organizations requiring immediate compliance certifications.

Use Cases & Recommended Professions

Founder / CEO→ View Toolkit

Needs quick answers about business metrics without relying on a data team; Definite provides self-serve analytics and AI-driven insights.

Data Analyst→ View Toolkit

Can leverage Fi to speed up analysis, build data apps, and focus on deeper insights rather than repetitive SQL queries.

RevOps Manager→ View Toolkit

Requires unified data from CRM, billing, and marketing tools to optimize revenue processes; Definite’s connectors and semantic layer streamline this.

Product Manager→ View Toolkit

Uses Definite to explore user behavior, build product dashboards, and answer ad-hoc questions without engineering support.

Marketing Manager→ View Toolkit

Needs to track campaign performance across channels; Definite’s integrations with ad platforms and AI analyst make reporting instant.

Data Engineer→ View Toolkit

Wants to reduce maintenance of multiple tools; Definite’s all-in-one platform handles ingestion, transformation, and serving, freeing up time.

Frequently Asked Questions

data analysis developer tools business

ℹ️ Curation Disclosure: The overview and features of Definite were synthesized using AI and fact-checked by our curation team to ensure accuracy.