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Harvest to Amazon Redshift Cluster integration

Connect Harvest to Amazon Redshift Cluster and automatically sync your finance & accounting data. Weld extracts data from Harvest, loads it into Amazon Redshift Cluster, and lets you transform the data using SQL or dbt, no custom scripts required.

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4.8 on G2
HarvestSource
WeldWeld
Amazon Redshift ClusterWarehouse
Weld · New sync
HarvestSourceHarvestConnected
Tables to sync
  • project27 cols
  • client9 cols
  • user22 cols
  • time_entry48 cols
  • expense35 cols
  • task9 cols
  • Extract
  • Load
  • Keep in sync
Amazon Redshift ClusterDestinationAmazon Redshift ClusterReady
harvest schema
  • harvest.projectSynced
  • harvest.clientSyncing
  • harvest.userSynced
  • harvest.time_entrySynced
  • harvest.expenseSynced
  • harvest.taskSynced
Harvest tables
35
fields, typed
520
relationships kept
36
agent context included
MCP

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  • Flatpay
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  • eComplete
  • Dishoom
  • Danish Endurance
  • Female Invest
  • Son of a Tailor
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  • Pas Normal Studios
How it works

How to set up Harvest to Amazon Redshift Cluster in Weld.
In the app, with the API or an agent.

API guideMCP docs
Weld · New Harvest sync
HarvestNew connectionHarvestAuthorised
Connection nameharvest
AuthorizeOpens Harvest to grant read access
Use cases

Why sync Harvest to Amazon Redshift Cluster?
Ready for analysis.

Centralizing your Harvest data in Amazon Redshift Cluster lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Harvest data directly in Amazon Redshift Cluster using SQL or your preferred BI tool.

  • Financial reporting

    Centralize financial data from Harvest in Amazon Redshift Cluster for automated financial dashboards and month-end close analysis.

  • Centralized data warehouse

    Bring Harvest data into Amazon Redshift Cluster alongside other sources to create a single source of truth for your organization.

  • Automated reporting

    Replace manual exports and spreadsheet-based reporting with automated pipelines from Harvest to Amazon Redshift Cluster. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every Harvest table, keys intact.

Weld syncs the objects the Harvest connector exposes into Amazon Redshift Cluster, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 35 tables
  • project
  • client
  • user
  • time_entry
  • expense
  • task
  • user_project_assignment
  • user_project_assignment_task_assignments
  • project_user_assignment
  • project_task_assignment
  • uninvoiced_report
  • project_budget_report
  • time_projects_report
  • expense_projects_report
  • expense_category
  • invoice
  • estimate
  • invoice_line_items
  • contact
  • time_team_report
  • estimate_line_items
  • expense_team_report
  • time_clients_report
  • time_tasks_report
  • expense_categories_report
  • expense_clients_report
  • company
  • invoice_message
  • estimate_message
  • invoice_payment
  • and 5 more
Weld MCP server

Ask your agent.
It queries Amazon Redshift Cluster for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Harvest context, finds the tables it needs and runs the query in Amazon Redshift Cluster.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many project rows do we have per client? Use our Harvest data in Amazon Redshift Cluster.

Reading the Harvest context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.harvest.project
raw.harvest.client
+ 33 more Harvest tables
●weld·get_reference_schema
⎿project · 27 columns
joins client on client_id
●weld·run_query
⎿select c.id, count(*) from {{raw.harvest.project}} p
join {{raw.harvest.client}} c on p.client_id = c.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Harvest data in Amazon Redshift Cluster
>Ask about your Harvest data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the Harvest API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If Harvest adds new fields, they're detected and added to the corresponding Amazon Redshift Cluster tables.
Data freshness
Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security
All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Resources

Keep reading.
Guides, docs and schema.

Documentation

Amazon Redshift Cluster setup guide

How to connect Amazon Redshift Cluster to Weld, step by step.

Schema

Harvest schema explorer

Browse all 35 tables and 520 fields.

Connector

Harvest connector

Everything Weld does with Harvest.

Connector

Amazon Redshift Cluster connector

Everything Weld does with Amazon Redshift Cluster.

FAQ

Common questions.
About Harvest to Amazon Redshift Cluster.

Start syncing Harvest to Amazon Redshift Cluster.

Set up your Harvest data pipeline in minutes. No credit card required. Free for 14 days.

HarvestSource
WeldWeld
Amazon Redshift ClusterWarehouse
Start for freeTalk to us
Related

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