Skip to content
Database ⇄ Marketing

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

Keep SingleStore 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.

  • 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect SingleStore and Twitter Ads

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

Stacksync mirrors Promoted Tweets, Custom Audiences, Targeting Criteria, Funding Instruments from Twitter Ads into Databases, Tables (rowstore and columnstore), Views, Reference Tables in SingleStore 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 SingleStore, 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 Sync results of real-time analytical queries back into business tools where teams act on them.
  • 02 Consolidate data from transactional databases and SaaS apps into one store that handles both lookups and scans.
  • 03 Read Funding Instruments and daily campaign spend into a finance database to reconcile X ad costs against billing and invoices.
  • 04 Pause or update Promoted Tweets and Line Items automatically when an upstream system such as budget pacing or inventory flags a rule breach.

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 SingleStore 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 SingleStore 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 SingleStore 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.

SingleStore objects Twitter Ads objects How this pairing syncs
Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. Line Items Ad groups holding the per-engagement bid, promoted entity, and targeting; written to set bids and targeting, read for account structure. Indexes and Shard Keys is specific to SingleStore and Line Items to Twitter Ads — each maps to any object or custom field on the other side.
Databases The connection target containing the tables a sync addresses. Promoted Tweets Tweets promoted under a line item; created, paused, or updated through the API and read back for delivery status. Databases is specific to SingleStore and Promoted Tweets to Twitter Ads — each maps to any object or custom field on the other side.
Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. Custom Audiences Match lists (formerly Tailored Audiences); written by uploading hashed emails or device IDs from a CRM or warehouse segment for retargeting and suppression. Tables (rowstore and columnstore) is specific to SingleStore and Custom Audiences to Twitter Ads — each maps to any object or custom field on the other side.
Views Read-only projections used as curated sync sources. Targeting Criteria Location, keyword, interest, and device rules attached to line items; read and written to adjust who a line item reaches. Views is specific to SingleStore and Targeting Criteria to Twitter Ads — each maps to any object or custom field on the other side.
Reference Tables Small tables replicated to every node, often used for dimension data in syncs. 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. Reference Tables is specific to SingleStore and Funding Instruments to Twitter Ads — each maps to any object or custom field on the other side.
Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. Analytics (Stats) Performance metrics for campaigns, line items, and promoted tweets; read-only via asynchronous jobs and pulled into a warehouse for reporting. Pipelines is specific to SingleStore and Analytics (Stats) to Twitter Ads — each maps to any object or custom field on the other side.

How changes propagate between SingleStore 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.

SingleStore Twitter Ads Interval-based propagation

DetectionStacksync polls SingleStore for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or watermark columns.

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

Twitter Ads SingleStore 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 SingleStore as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • SingleStore: No API rate limits; throughput is bounded by workspace or cluster size.
  • 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 SingleStore ⇄ Twitter Ads

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever SingleStore 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 SingleStore or Twitter Ads record.

Observability

Monitoring

Track your SingleStore ⇄ 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 SingleStore and Twitter Ads.

How the SingleStore and Twitter Ads connectors work

SingleStore

Integration surface
SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
Authentication
Database credentials
Change detection
Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by workspace or cluster size

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 SingleStore 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 SingleStore 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
    SingleStore connected
    Twitter Ads connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the SingleStore 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 · SingleStore ⇄ 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
    SingleStore Twitter Ads
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

SingleStore 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.

Learn more about security
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:

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 409 integrations available for SingleStore and Twitter Ads.

Popular · 8 of 409
All SingleStore integrations All Twitter Ads integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own