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Database ⇄ Data warehouse

AWS Aurora PostgreSQL to Vertica integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL 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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Why teams connect AWS Aurora PostgreSQL and Vertica

Connect AWS Aurora PostgreSQL and Vertica with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want AWS Aurora PostgreSQL's rows in Vertica, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in AWS Aurora PostgreSQL where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in AWS Aurora PostgreSQL sync into Vertica in real time, and result tables in Vertica sync back into AWS Aurora PostgreSQL, with schema and type mapping between the two systems handled for you.

Common use cases

  • Land ERP transactions in Vertica for finance analytics without maintaining hand-built ETL jobs.
  • Push segments or aggregates computed in Vertica back into operational tools such as a CRM.
  • Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
  • Sync JSONB-heavy application data into structured objects in downstream business systems.

Operational data in the warehouse, minus the pipeline

Rows from AWS Aurora PostgreSQL land in Vertica as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Vertica sync into AWS Aurora PostgreSQL, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between AWS Aurora PostgreSQL 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.

AWS Aurora PostgreSQL objects Vertica objects
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Schemas Namespaces used to organize synced datasets by domain or source.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Tables Columnar tables; the primary read and write targets for syncs.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. 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.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Views Logical views used to shape reads for downstream consumers.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling.
Replication slots and publications The logical replication objects that power log-based CDC. External Tables Data queried in place on files or object storage without loading.
What ships with AWS Aurora PostgreSQL ⇄ Vertica

Connect AWS Aurora PostgreSQL and Vertica for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Vertica record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Vertica.

How the AWS Aurora PostgreSQL and Vertica connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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
    AWS Aurora PostgreSQL connected
    Vertica connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL 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 · AWS Aurora PostgreSQL ⇄ 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
    AWS Aurora PostgreSQL Vertica
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Vertica 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.

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 386 integrations available for AWS Aurora PostgreSQL and Vertica.

Popular · 8 of 386
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