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CRM ⇄ Database

Close to DuckDB integration — real-time, two-way sync

Keep Close and DuckDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Migrated from Mulesoft
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Why teams connect Close and DuckDB

Treat Close like part of your database: its records live in DuckDB as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in DuckDB, where it can be queried and joined like everything else.

Stacksync mirrors Activities, Tasks, Custom Activities, Custom Fields from Close into Tables, Views, External files (Parquet/CSV/JSON), Attached databases in DuckDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Close with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • Sync Close leads and opportunities into Postgres or a warehouse for pipeline reporting outside Close's built-in reports.
  • Two-way sync between Close and a billing or ERP system so closed-won opportunities create customers and invoices automatically.
  • Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.
  • Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.

Trigger workflows from CRM changes

Field and stage updates in Close arrive as row changes in DuckDB, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Close become tables in DuckDB you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to DuckDB sync onto the matching records in Close, giving go-to-market teams live product context.

What you can sync between Close and DuckDB

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Close objects DuckDB objects
Leads The top-level record in Close; represents a company and holds its contacts, opportunities, and activity history. Schemas Namespaces within a database used to organize tables in sync outputs.
Contacts People nested under a lead, with emails and phone numbers used for outreach syncs. Tables Columnar tables created via SQL; the destination for materialized sync data.
Opportunities Deal records with value, confidence, and status; commonly synced to reporting and billing systems. Views SQL views used to shape or filter data for downstream consumers.
Activities Calls, emails, SMS, notes, and meetings logged against a lead; the source for engagement analytics. External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format.
Tasks Follow-up items assigned to users; synced for workload and SLA reporting. Attached databases Additional database files or external systems attached into one session for cross-source queries.
Custom Activities User-defined activity types with their own custom fields, mapped like standard activities. Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage.
What ships with Close ⇄ DuckDB

Connect Close and DuckDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Close–DuckDB connection.

Real-time

Two-way sync

Changes in Close or DuckDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Close or DuckDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Close or DuckDB record.

Observability

Monitoring

Track your Close ⇄ DuckDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Close and DuckDB.

How the Close and DuckDB connectors work

Close

Integration surface
REST API
Authentication
API key (sent via HTTP Basic auth)
Change detection
Webhook subscriptions for record events, with polling on date_updated fields for backfills
Capabilities
read · write · webhooks
Rate limits
Subject to per-endpoint rate limits communicated in response headers

DuckDB

Integration surface
In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
Authentication
None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
Change detection
Polling or full re-reads; no change feed or transaction log API
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by local compute and I/O
How it works

How to connect Close to DuckDB — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Close and DuckDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Close connected
    DuckDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Close and DuckDB objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Close ⇄ DuckDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Close DuckDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Close and DuckDB integration FAQ

SECURITY

Security teams love Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Close and DuckDB.

Popular · 8 of 386
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