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Database ⇄ Marketing

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

Keep AWS Aurora PostgreSQL and Twitter Ads 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 AWS Aurora PostgreSQL and Twitter Ads

Give your team Twitter Ads's contacts, campaigns, and engagement in AWS Aurora PostgreSQL: query them with SQL, push audiences built from your own data back to Twitter Ads, and skip the marketing API.

Twitter Ads holds the people, audiences, and campaign activity that marketing runs on, but that data sits behind interfaces built for marketers, not for your internal systems. Engineers and analysts who need contacts, list membership, or engagement, for reporting, attribution, or product logic, end up writing integration code against a rate-limited API and maintaining it forever. Meanwhile the customer and usage data marketers want for targeting already lives in AWS Aurora PostgreSQL, hard to get into campaigns without manual exports.

Stacksync mirrors Targeting Criteria, Funding Instruments, Analytics (Stats), Ad Accounts from Twitter Ads into Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas in AWS Aurora PostgreSQL field by field, in real time, and in both directions. Marketing records become rows your code can query and join with product and customer data; audiences and attributes computed in AWS Aurora PostgreSQL, from usage, orders, or account status, sync back into Twitter Ads to drive campaigns and ads, with Twitter Ads kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
  • 02 Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
  • 03 Push Campaigns and Line Items from a planning database or spreadsheet into X Ads so media buyers manage budgets, bids, and targeting without hand-entering each one in Ads Manager.
  • 04 Sync Custom Audiences by uploading hashed emails from a CRM or warehouse segment, keeping retargeting and suppression lists current as the source list changes.

Common sync patterns

React to marketing changes as row changes

A new lead, form fill, or list change in Twitter Ads arrives as a row change in AWS Aurora PostgreSQL, so scoring, jobs, and notifications run in the tooling your team already uses.

Keep contact attributes consistent

Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.

Query Twitter Ads like a database

Contacts, leads, audiences, and campaign metrics from Twitter Ads live in AWS Aurora PostgreSQL as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.

What you can sync between AWS Aurora PostgreSQL and Twitter Ads

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 Twitter Ads objects How this pairing syncs
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Funding Instruments Budget source (credit card, credit line, insertion order); read-only in the API and provisioned by an X account manager, referenced by campaigns. Views and materialized views is specific to AWS Aurora PostgreSQL and Funding Instruments to Twitter Ads — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Analytics (Stats) Performance metrics for campaigns, line items, and promoted tweets; read-only via asynchronous jobs and pulled into a warehouse for reporting. Foreign keys is specific to AWS Aurora PostgreSQL and Analytics (Stats) to Twitter Ads — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. Ad Accounts Top-level advertising account (base-36 ID) that holds campaigns and funding; read to enumerate structure, and most syncs are scoped to one account. Replication slots and publications is specific to AWS Aurora PostgreSQL and Ad Accounts to Twitter Ads — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Campaigns Schedule and budget container; synced two-way to create and update daily/total budgets and run dates from a planning database or spreadsheet. Databases and schemas is specific to AWS Aurora PostgreSQL and Campaigns to Twitter Ads — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. Line Items Ad groups holding the per-engagement bid, promoted entity, and targeting; written to set bids and targeting, read for account structure. Tables is specific to AWS Aurora PostgreSQL and Line Items to Twitter Ads — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Promoted Tweets Tweets promoted under a line item; created, paused, or updated through the API and read back for delivery status. Rows is specific to AWS Aurora PostgreSQL and Promoted Tweets to Twitter Ads — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and Twitter Ads

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.

AWS Aurora PostgreSQL Twitter Ads Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

DeliveryEach detected change is written to Twitter Ads through its API, with automatic retries and rate-limit backoff.

Twitter Ads AWS Aurora PostgreSQL Interval-based propagation

DetectionStacksync polls Twitter Ads for changes on an incremental schedule, reading only records changed since the previous pass. Polling only — the Ads API has no webhooks or change-data-capture.

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

Rate-limit considerations

  • Twitter Ads: Per-endpoint 15-minute windows exposed via x-rate-limit-remaining and x-rate-limit-reset headers; asynchronous analytics is capped by concurrent jobs per account and covers up to 90 days per request.
What ships with AWS Aurora PostgreSQL ⇄ Twitter Ads

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Twitter Ads 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 Twitter Ads 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 Twitter Ads record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Twitter Ads 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 Twitter Ads.

How the AWS Aurora PostgreSQL and Twitter Ads 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

Twitter Ads

Integration surface
REST Ads API (synchronous management + asynchronous analytics jobs)
Authentication
OAuth 1.0a signed requests (three-legged user context) from a developer app allowlisted for the Ads API; OAuth 2.0 bearer tokens are limited to some read paths, while campaign, line item, and audience writes require OAuth 1.0a signing
Change detection
Polling only — the Ads API has no webhooks or change-data-capture; sync engines re-read entities and their state on a schedule and submit asynchronous analytics jobs for stats
Capabilities
read · write
Rate limits
Per-endpoint 15-minute windows exposed via x-rate-limit-remaining and x-rate-limit-reset headers; asynchronous analytics is capped by concurrent jobs per account and covers up to 90 days per request
How it works

How to connect AWS Aurora PostgreSQL to Twitter Ads — 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 Twitter Ads 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
    Twitter Ads connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and Twitter Ads 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 ⇄ Twitter Ads
    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 Twitter Ads
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

AWS Aurora PostgreSQL and Twitter Ads 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 412 integrations available for AWS Aurora PostgreSQL and Twitter Ads.

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