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Database ⇄ Marketing

Citus to Twitter Ads integration — real-time, two-way sync

Keep Citus 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 Citus and Twitter Ads

Give your team Twitter Ads's contacts, campaigns, and engagement in Citus: 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 Citus, hard to get into campaigns without manual exports.

Stacksync mirrors Funding Instruments, Analytics (Stats), Ad Accounts, Campaigns from Twitter Ads into Views, Sequences, Distributed tables, Reference tables in Citus 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 Citus, 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 Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.
  • 02 Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
  • 03 Pull Analytics for Campaigns, Line Items, and Promoted Tweets into a warehouse for blended cross-channel spend and ROAS reporting.
  • 04 Read Funding Instruments and daily campaign spend into a finance database to reconcile X ad costs against billing and invoices.

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 Citus, 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 Citus as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.

What you can sync between Citus 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.

Citus objects Twitter Ads objects How this pairing syncs
Sequences Key generators that matter when external writes must not collide with application inserts. 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. Sequences is specific to Citus and Funding Instruments to Twitter Ads — each maps to any object or custom field on the other side.
Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. Analytics (Stats) Performance metrics for campaigns, line items, and promoted tweets; read-only via asynchronous jobs and pulled into a warehouse for reporting. Distributed tables is specific to Citus and Analytics (Stats) to Twitter Ads — each maps to any object or custom field on the other side.
Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. 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. Reference tables is specific to Citus and Ad Accounts to Twitter Ads — each maps to any object or custom field on the other side.
Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. Campaigns Schedule and budget container; synced two-way to create and update daily/total budgets and run dates from a planning database or spreadsheet. Local tables is specific to Citus and Campaigns to Twitter Ads — each maps to any object or custom field on the other side.
Schemas Standard Postgres namespaces used to scope what a sync user can read and write. Line Items Ad groups holding the per-engagement bid, promoted entity, and targeting; written to set bids and targeting, read for account structure. Schemas is specific to Citus and Line Items to Twitter Ads — each maps to any object or custom field on the other side.
Views Curated projections over distributed data, often used as read-only sync sources. Promoted Tweets Tweets promoted under a line item; created, paused, or updated through the API and read back for delivery status. Views is specific to Citus and Promoted Tweets to Twitter Ads — each maps to any object or custom field on the other side.

How changes propagate between Citus 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.

Citus Twitter Ads Sub-second propagation

DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.

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

Twitter Ads Citus 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 Citus 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 Citus ⇄ Twitter Ads

Connect Citus and Twitter Ads for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Citus or Twitter Ads instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Citus 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 Citus or Twitter Ads record.

Observability

Monitoring

Track your Citus ⇄ 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 Citus and Twitter Ads.

How the Citus and Twitter Ads connectors work

Citus

Integration surface
PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
Authentication
Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
Change detection
PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
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 Citus 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 Citus 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
    Citus connected
    Twitter Ads connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Citus 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 · Citus ⇄ 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
    Citus Twitter Ads
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Citus 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.

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DPF US-EU-UK-CH
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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 392 integrations available for Citus and Twitter Ads.

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