Two-way sync
Changes in AWS Aurora PostgreSQL or Twitter Ads instantly reflect in both systems. No stale data, no manual imports.
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.
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.
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.
Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
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.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Twitter Ads connection.
Changes in AWS Aurora PostgreSQL or Twitter Ads instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Twitter Ads data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Twitter Ads record.
Track your AWS Aurora PostgreSQL ⇄ Twitter Ads sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Twitter Ads.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Twitter Ads: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Views and materialized views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Twitter Ads connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Twitter Ads integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Twitter Ads. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Twitter Ads: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the AWS Aurora PostgreSQL side: Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas, plus custom fields where AWS Aurora PostgreSQL exposes them. On the Twitter Ads side: Targeting Criteria, Funding Instruments, Analytics (Stats), Ad Accounts. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 412 integrations available for AWS Aurora PostgreSQL and Twitter Ads.