Real-time
Two-way sync
Changes in Postgres Heroku or Twitter Ads instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Marketing
Postgres Heroku to Twitter Ads integration — real-time, two-way sync
Keep Postgres Heroku 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
Case study
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 Postgres Heroku and Twitter Ads
Give your team Twitter Ads's contacts, campaigns, and engagement in Postgres Heroku: 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 Postgres Heroku, hard to get into campaigns without manual exports.
Stacksync mirrors Promoted Tweets, Custom Audiences, Targeting Criteria, Funding Instruments from Twitter Ads into Primary and Unique Keys, JSONB Columns, Sequences, Follower Databases in Postgres Heroku 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 Postgres Heroku, 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 Keep several Heroku app databases aligned with one system of record
- 02 Reflect billing and subscription records into the app database so product logic reads local rows
- 03 Pause or update Promoted Tweets and Line Items automatically when an upstream system such as budget pacing or inventory flags a rule breach.
- 04 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.
Common sync patterns
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 Postgres Heroku as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Build audiences from your own data
Segments computed in Postgres Heroku from product usage, orders, or account status sync into Twitter Ads as lists or audiences, so campaigns and ads target the people your data says they should.
What you can sync between Postgres Heroku 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.
| Postgres Heroku objects | Twitter Ads objects | How this pairing syncs | |
|---|---|---|---|
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | 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. | Primary and Unique Keys is specific to Postgres Heroku and Funding Instruments to Twitter Ads — each maps to any object or custom field on the other side. | |
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Analytics (Stats) Performance metrics for campaigns, line items, and promoted tweets; read-only via asynchronous jobs and pulled into a warehouse for reporting. | JSONB Columns is specific to Postgres Heroku and Analytics (Stats) to Twitter Ads — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | 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. | Sequences is specific to Postgres Heroku and Ad Accounts to Twitter Ads — each maps to any object or custom field on the other side. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Campaigns Schedule and budget container; synced two-way to create and update daily/total budgets and run dates from a planning database or spreadsheet. | Follower Databases is specific to Postgres Heroku and Campaigns to Twitter Ads — each maps to any object or custom field on the other side. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | 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 Postgres Heroku and Line Items to Twitter Ads — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | 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 Postgres Heroku and Promoted Tweets to Twitter Ads — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku 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.
Postgres Heroku Twitter Ads Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Twitter Ads through its API, with automatic retries and rate-limit backoff.
Twitter Ads Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
- 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 Postgres Heroku ⇄ Twitter Ads
Connect Postgres Heroku and Twitter Ads for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Twitter Ads connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Twitter Ads record.
Observability
Monitoring
Track your Postgres Heroku ⇄ 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 Postgres Heroku and Twitter Ads.
How the Postgres Heroku and Twitter Ads connectors work
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
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 Postgres Heroku 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.
- 01
Connect your apps
Authenticate Postgres Heroku 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.
Postgres Heroku
connected
Twitter Ads
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku 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.
objects · Postgres Heroku ⇄ Twitter AdsCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Postgres Heroku Twitter AdsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Twitter Ads integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Twitter Ads: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Primary and Unique Keys and JSONB Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Postgres Heroku side: Primary and Unique Keys, JSONB Columns, Sequences, Follower Databases, plus custom fields where Postgres Heroku exposes them. On the Twitter Ads side: Promoted Tweets, Custom Audiences, Targeting Criteria, Funding Instruments. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Postgres Heroku and Twitter Ads: Keep contact attributes consistent; Query Twitter Ads like a database; Build audiences from your own data. Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.
-
Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Twitter Ads: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Twitter Ads: Funding Instruments cannot be created through the API — an X account manager sets them up, and the API only reads and references them. Stacksync's field mapping accounts for these differences between Postgres Heroku and Twitter Ads without custom code.
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 408 integrations available for Postgres Heroku and Twitter Ads.
Popular · 7 of 408
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Postgres Heroku ⇄ Eloqua -
Postgres Heroku ⇄ Iterable -
Postgres Heroku ⇄ Bingads -
Twitter Ads ⇄ Dynamo DB -
Twitter Ads ⇄ IBM Db2 -
Twitter Ads ⇄ Firebase -
Twitter Ads ⇄ SingleStore
No integrations match .
