Real-time
Two-way sync
Changes in DuckDB or Freshsales instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
DuckDB to Freshsales integration — real-time, two-way sync
Keep DuckDB and Freshsales 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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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect DuckDB and Freshsales
Treat Freshsales 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 Products, Contacts, Accounts, Deals from Freshsales into Attached databases, Database files, Schemas, Tables in DuckDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Freshsales 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 deals into a data warehouse for pipeline reporting alongside product usage data.
- Push product-qualified leads from the warehouse into Freshsales as contacts with lifecycle stages set.
- 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.
Query the CRM like a database
Accounts, contacts, and custom objects from Freshsales 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 Freshsales, giving go-to-market teams live product context.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Freshsales API, limits, and retries.
What you can sync between DuckDB and Freshsales
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.
| DuckDB objects | Freshsales objects | |
|---|---|---|
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Appointments Scheduled meetings readable for activity analytics. | |
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | Notes Free-text records attached to contacts, accounts, and deals. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Sales activities Configurable activity types logged against records, useful for engagement scoring. | |
| Schemas Namespaces within a database used to organize tables in sync outputs. | Products Catalog items attached to deals for line-level revenue data. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | Contacts Person records carrying lifecycle stages; the main entity for two-way CRM syncs. | |
| Views SQL views used to shape or filter data for downstream consumers. | Accounts Company records kept aligned with billing, ERP, and warehouse tables. |
What ships with DuckDB ⇄ Freshsales
Connect DuckDB and Freshsales for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–Freshsales connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DuckDB or Freshsales 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 DuckDB or Freshsales record.
Observability
Monitoring
Track your DuckDB ⇄ Freshsales sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between DuckDB and Freshsales.
How the DuckDB and Freshsales connectors work
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
Freshsales
- Integration surface
- REST API
- Authentication
- API key sent as a Token authorization header
- Change detection
- Polling with updated-at filters through views; outbound webhooks can be configured via workflow automations
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-account API rate limits that vary by Freshworks plan
How it works
How to connect DuckDB to Freshsales — 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.
- 01
Connect your apps
Authenticate DuckDB and Freshsales with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
DuckDB
connected
Freshsales
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DuckDB and Freshsales 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.
objects · DuckDB ⇄ FreshsalesCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
DuckDB FreshsalesCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DuckDB and Freshsales integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between DuckDB and Freshsales: authenticate both systems, choose the objects to sync (such as DuckDB's External files (Parquet/CSV/JSON) and Attached databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for DuckDB and Freshsales: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Freshsales become tables in DuckDB you can join with application data directly.
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DuckDB: 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). Freshsales: REST API. Authentication: API key sent as a Token authorization header. Stacksync manages authentication, retries, and rate limits on both sides.
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Freshsales: Current Freshsales versions use lifecycle stages on contacts instead of a separate lead object, so lead routing maps to a stage field. DuckDB: It queries Parquet, CSV, and JSON files directly without importing them, which makes file-based exchange a natural sync pattern. Stacksync's field mapping accounts for these differences between DuckDB and Freshsales without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means DuckDB and Freshsales records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed DuckDB and Freshsales connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DuckDB–Freshsales integration in-house.
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 DuckDB and Freshsales.
Popular · 8 of 386
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DuckDB ⇄ Close -
DuckDB ⇄ Copper CRM -
DuckDB ⇄ Creatio CRM -
DuckDB ⇄ Drift -
Freshsales ⇄ Scaleway Postgres -
Freshsales ⇄ TiDB -
Freshsales ⇄ TimescaleDB -
Freshsales ⇄ VoltDB
No integrations match .
