Do I need a separate data warehouse for my Harvest Forecast 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 Forecast 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 Forecast 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 Forecast 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 Forecast 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.

Definite runs as a private deployment in your own cloud (AWS, GCP, Azure, or anywhere with Kubernetes); you keep control of data, compute, and networking. Explore private deployment →

Explore with AI

← All connectors/Project & Collaboration

§ Connector

Harvest Forecast

Analyze your Harvest Forecast data with AI today.

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

Watch the demo →Try it free

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

§ Live with

§ What you get

Everything Harvest Forecast exposes, modeled and queryable.

Harvest Forecast is a resource-scheduling and capacity-planning tool. The tap syncs its core scheduling entities — people, projects, clients, assignments, milestones, and roles — letting you analyze how teams are allocated across work over time, where capacity is over- or under-booked, and how scheduled effort maps to clients and project timelines.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

Standard

Row-level security

Yes

Tables & streams

6 objects

◆Assignments

Scheduled allocations placing a person (or placeholder) on a project for a date range, with a daily allocation amount in seconds. The central fact table for capacity analytics: utilization rates, booked vs. available hours, allocation by project or person, and forward-looking schedule coverage.

operationsproduct

◆People

Team members available to be scheduled, including weekly capacity, working days, roles, and archived status. Used to compute utilization denominators, headcount by role, and capacity available for assignment.

operationsgeneral_data_storage

◆Projects

Projects that work is scheduled against, with start/end dates, client association, code, color, and archived status. Anchors analysis of scheduled effort per project, project timelines, and allocation-by-client rollups.

operationsproduct

◆Clients

Clients that projects belong to. Enables rolling up scheduled allocation, people, and milestones to the client level for staffing and account-effort reporting.

customeroperations

◆Milestones

Dated milestones tied to a project, marking key deadlines or checkpoints on the schedule. Used to overlay delivery dates against allocation timelines and track project progress.

operationsproduct

◆Roles

Named roles grouping people and placeholders (e.g. designer, engineer), mappable to Harvest roles. Used to analyze capacity and allocation by role and to plan staffing skill mix.

operationsgeneral_data_storage

§ How it works