Do I need a separate data warehouse for my Harvest data?

No. Definite includes a built-in lakehouse, so you don't need to pay for a separate warehouse like Snowflake, BigQuery, or Redshift. Your Harvest data syncs into open Parquet storage and is queried by a DuckDB-powered engine for high-performance analytics. Definite handles encrypted, persistent storage behind the scenes with enterprise-grade security, automatic syncing, and backups. You get lightning-fast queries, built-in business intelligence tools, and SOC 2 compliant security, all without the overhead or complexity of running a separate warehouse.

Can I analyze my Harvest data with other data sources?

Yes. Definite lets you connect and analyze data across all your tools: app databases, CRMs, marketing automation, analytics, and customer support platforms. Our built-in Sync Engine supports 500+ data sources, with options for daily, hourly, or near real-time syncs. You can select metrics and dimensions from your Harvest data alongside other sources to explore insights, build dashboards, and share results (no SQL needed, unless you want to). Or simply ask Fi, our AI analyst, to find answers, uncover patterns, and instantly create charts and reports for you.

Can Definite connect Harvest data to tools like Python, SQL, Google Sheets, or Slack?

Yes. Definite integrates seamlessly with the tools you already use. You can run Python scripts for advanced analysis, query your data directly with SQL, or sync results to Google Sheets and Slack for easy sharing. Data can be exported in CSV, Excel, or JSON, accessed via the Metrics API, or embedded directly into your product or internal dashboards. Definite makes it simple to connect, automate, and share insights wherever your team works.

How does Definite's AI actually work?

Definite includes Fi, our AI data analyst that understands your business data and speaks your language. Fi can explore your connected sources, write SQL, and build charts or dashboards in minutes, turning plain-English questions into real analysis. Under the hood, Fi uses Definite's semantic models and query engine to interpret context, generate accurate queries, and explain results clearly. The result: faster insights, fewer bottlenecks, and analytics that finally deliver ROI.

Can I use Definite for free?

Yes. Definite offers a free plan for qualifying startups that includes core analytics, dashboards, and AI insights: everything you need to get started. You can upgrade anytime for more data sources, faster syncs, and advanced automations.

Explore with AI

← All connectors/Project & Collaboration

§ Connector

Harvest

Analyze your Harvest data with AI today.

Build dashboards, automate reports, and ask questions in plain English — all from your Harvest data, no complex infrastructure to maintain.

See Harvest in Definite →Try it free

Want it to watch your Harvest data and act on its own? Meet the Harvest agent →

§ Live with

§ What you get

Everything Harvest exposes, modeled and queryable.

Harvest is a time-tracking and invoicing platform. This data covers logged time and expenses against projects and tasks, the clients and team members those projects belong to, and the estimates, invoices, and payments that turn billable work into revenue.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

Standard

Row-level security

Yes

Tables & streams

11 objects

◆Time Entries

Individual blocks of tracked time logged by users against projects and tasks, including billable/hours flags and rounded durations. The core fact table for utilization, billable-hours analysis, and capacity planning.

operationsrevenue_financeproduct

◆Expenses

Reimbursable and billable expenses recorded against projects, categorized for cost tracking. Used to analyze project profitability and reimbursable cost recovery.

operationsrevenue_finance

◆Projects

Client engagements with budgets, billing methods, and date ranges that work is tracked against. The central dimension for profitability, budget burn, and delivery reporting.

operationsproduct

◆Tasks

Reusable categories of work (e.g. design, development) assignable to projects with default billing rates. Used to break down time and cost by activity type.

operationsproduct

◆Clients

Companies or customers that projects, estimates, and invoices belong to, including currency and address details. The primary customer dimension for revenue and engagement reporting.

customersalesrevenue_finance

◆Contacts

Individual people associated with client companies, used as recipients for estimates and invoices. Supports client relationship and billing-contact analysis.

customersales

◆Users

Team members who track time and expenses, with roles, billable rates, capacity, and cost rates. The team dimension for utilization, capacity, and labor-cost analysis.

operationsgeneral_data_storage

◆Roles

Named roles that group users and govern permissions and rate structures. Used to segment utilization and cost reporting by function.

operationsgeneral_data_storage

◆Invoices

Bills issued to clients with line items, amounts, tax, and paid/due status, plus the messages sent to clients. The core fact table for billed revenue, accounts receivable, and collections.

revenue_financecustomer

◆Invoice Payments

Payments received against invoices, recording amount, date, and method. Used for cash-flow analysis, collections timing, and revenue recognition.

revenue_finance

◆Estimates

Quotes sent to clients with line items, amounts, and accepted/declined status, plus the messages exchanged. Used for sales pipeline, win-rate, and quote-to-invoice conversion analysis.

salesrevenue_financecustomer

§ How it works