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Business productivity ⇄ Database

BetterContact to DuckDB integration — real-time data sync

Keep BetterContact 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.

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

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Why teams connect BetterContact and DuckDB

Mirror BetterContact's data into DuckDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.

BetterContact is a read-only source: Stacksync reads its data in real time and delivers it into DuckDB, so DuckDB always reflects the current state of BetterContact — without exports, scripts, or schedulers.

Engineers integrate with tools like BetterContact through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in DuckDB.

Stacksync mirrors Company, Lead Finder Search, Enrichment Request, Enriched Contact from BetterContact into Views, External files (Parquet/CSV/JSON), Attached databases, Database files in DuckDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into BetterContact, so the tool and the database never disagree.

Common use cases

  • 01 Validate catch-all email addresses before sending to protect sender domain reputation.
  • 02 Enrich new CRM leads with verified emails and mobile numbers as they are created, writing results back to the CRM record.
  • 03 Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
  • 04 Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.

Common sync patterns

Automate BetterContact from your codebase

Write to the synced tables in DuckDB and Stacksync propagates the change into BetterContact, replacing custom integration code.

React to changes as they happen

Updates in BetterContact arrive as row changes in DuckDB, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between BetterContact 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.

BetterContact objects DuckDB objects How this pairing syncs
Company Company data returned with each contact: name, domain, HQ location, industry, employee count. Views SQL views used to shape or filter data for downstream consumers. Company is specific to BetterContact and Views to DuckDB — each maps to any object or custom field on the other side.
Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. Lead Finder Search is specific to BetterContact and External files (Parquet/CSV/JSON) to DuckDB — each maps to any object or custom field on the other side.
Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. Attached databases Additional database files or external systems attached into one session for cross-source queries. Enrichment Request is specific to BetterContact and Attached databases to DuckDB — each maps to any object or custom field on the other side.
Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. Enriched Contact is specific to BetterContact and Database files to DuckDB — each maps to any object or custom field on the other side.

How changes propagate between BetterContact and DuckDB

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

BetterContact DuckDB Sub-second propagation

DetectionBetterContact notifies Stacksync of record changes through webhook events. Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint.

DeliveryEach detected change is applied to DuckDB as a row-level write, with types converted between the two schemas.

DuckDB BetterContact Interval-based propagation

DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.

DeliveryBetterContact does not accept inbound record writes, so this direction carries requests rather than records: BetterContact's output flows back as field updates on the originating DuckDB records.

Rate-limit considerations

  • BetterContact: Batches capped at 100 contacts per enrichment request.
  • DuckDB: No API rate limits; throughput is bounded by local compute and I/O.
What ships with BetterContact ⇄ DuckDB

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BetterContact 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 BetterContact or DuckDB record.

Observability

Monitoring

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

Trading partners

EDI

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

How the BetterContact and DuckDB connectors work

BetterContact

Integration surface
Asynchronous REST API: submit contacts, then receive results via webhook or fetch them from a results endpoint
Authentication
API key
Change detection
Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch
Capabilities
read · webhooks
Rate limits
Batches capped at 100 contacts per enrichment request.

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

    Choose tables

    Pick the BetterContact 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 · BetterContact ⇄ 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
    BetterContact DuckDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BetterContact and DuckDB integration FAQ

SECURITY

Security teams trust 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 390 integrations available for BetterContact and DuckDB.

Popular · 8 of 390
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