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Data warehouse

MotherDuck to Vertica integration — real-time, two-way sync

Keep MotherDuck and Vertica 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 Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect MotherDuck and Vertica

Keep tables consistent across MotherDuck and Vertica, for a migration, a multi-warehouse stack, or a dataset two platforms both need.

Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.

Stacksync syncs tables between MotherDuck and Vertica continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.

Common use cases

  • 01 Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management
  • 02 Sync modeled MotherDuck tables outward to operational tools for activation
  • 03 Land ERP transactions in Vertica for finance analytics without maintaining hand-built ETL jobs.
  • 04 Push segments or aggregates computed in Vertica back into operational tools such as a CRM.

Common sync patterns

Serve tools that only connect to one platform

Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.

Shared datasets across teams

Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.

Consolidation after M&A

Bring the acquired company's warehouse data across continuously instead of through one-off dumps.

What you can sync between MotherDuck and Vertica

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.

MotherDuck objects Vertica objects How this pairing syncs
Schemas Namespaces within a database used to organize synced tables. Schemas Namespaces used to organize synced datasets by domain or source. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tables The main landing target for synced records and source for analysis. Tables Columnar tables; the primary read and write targets for syncs. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Modeled projections used as outbound sync sources. Views Logical views used to shape reads for downstream consumers. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Database Shares Read-only copies of a database shared with other users or teams. External Tables Data queried in place on files or object storage without loading. Database Shares is specific to MotherDuck and External Tables to Vertica — each maps to any object or custom field on the other side.
Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. Projections Sorted, encoded physical copies of table data that the optimizer selects at query time; they affect load and query behavior rather than being addressed directly. Attached Local DuckDB Databases is specific to MotherDuck and Projections to Vertica — each maps to any object or custom field on the other side.
Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. Databases is specific to MotherDuck and Flex Tables to Vertica — each maps to any object or custom field on the other side.

How changes propagate between MotherDuck and Vertica

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.

MotherDuck Vertica Interval-based propagation

DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

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

Vertica MotherDuck Interval-based propagation

DetectionStacksync polls Vertica for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction-log CDC.

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

Rate-limit considerations

  • MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
  • Vertica: No API rate limits; throughput is bounded by cluster resources, and bulk COPY is preferred over row-by-row writes.
What ships with MotherDuck ⇄ Vertica

Connect MotherDuck and Vertica for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in MotherDuck or Vertica instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MotherDuck or Vertica 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 MotherDuck or Vertica record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between MotherDuck and Vertica.

How the MotherDuck and Vertica connectors work

MotherDuck

Integration surface
SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
Authentication
Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
Change detection
Polling; no log-based CDC or webhook surface is exposed
Capabilities
read · write
Rate limits
Subject to the platform's compute and concurrency limits rather than per-request API rate limits
MotherDuck setup guide

Vertica

Integration surface
SQL over JDBC, ODBC, and ADO.NET drivers
Authentication
Database credentials, with LDAP, Kerberos, and OAuth options in enterprise deployments
Change detection
No exposed transaction-log CDC; polling on timestamp or epoch columns
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by cluster resources, and bulk COPY is preferred over row-by-row writes.
How it works

How to connect MotherDuck to Vertica — 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 MotherDuck and Vertica 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
    MotherDuck connected
    Vertica connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the MotherDuck and Vertica 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 · MotherDuck ⇄ Vertica
    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
    MotherDuck Vertica
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

MotherDuck and Vertica 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
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 383 integrations available for MotherDuck and Vertica.

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