Two-way sync
Changes in Azure Synapse Analytics or Twitter Ads instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics 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.
Azure Synapse Analytics is where your team models customers, product usage, and revenue into trusted tables; Twitter Ads runs the campaigns, audiences, and messages that reach those people. The two overlap wherever the same person, account, or segment matters to both, and when the bridge between them is a nightly export or a hand-built list, marketing targets stale data while analytics never sees what the campaign returned.
Stacksync syncs Materialized views, SQL pools, Tables (dedicated SQL pool), External tables in Azure Synapse Analytics with Line Items, Promoted Tweets, Custom Audiences, Targeting Criteria in Twitter Ads field by field, in real time, and in both directions. You decide which system owns which fields — a computed score or segment can flow out to Twitter Ads while sends, opens, and conversions flow back to Azure Synapse Analytics — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.
New and updated contacts, leads, or audience members flow between Azure Synapse Analytics and Twitter Ads, so the marketing audience reflects the people in your warehouse and corrections propagate instead of the two sides drifting apart.
Unsubscribes, bounces, and consent or opt-out flags held in either system propagate to the other, so no one is messaged after opting out and Azure Synapse Analytics holds the current state for auditing.
Product-usage counts, plan tier, region, or account owner computed in Azure Synapse Analytics appear on the matching record in Twitter Ads, so targeting, routing, and personalization use up-to-date context.
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.
| Azure Synapse Analytics objects | Twitter Ads objects | How this pairing syncs | |
|---|---|---|---|
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Promoted Tweets Tweets promoted under a line item; created, paused, or updated through the API and read back for delivery status. | Tables (dedicated SQL pool) is specific to Azure Synapse Analytics and Promoted Tweets to Twitter Ads — each maps to any object or custom field on the other side. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | 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. | External tables is specific to Azure Synapse Analytics and Custom Audiences to Twitter Ads — each maps to any object or custom field on the other side. | |
| Views Curated projections used when downstream tools should not read base tables directly. | 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 Azure Synapse Analytics and Targeting Criteria to Twitter Ads — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | 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. | Schemas is specific to Azure Synapse Analytics and Funding Instruments to Twitter Ads — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Analytics (Stats) Performance metrics for campaigns, line items, and promoted tweets; read-only via asynchronous jobs and pulled into a warehouse for reporting. | Materialized views is specific to Azure Synapse Analytics and Analytics (Stats) to Twitter Ads — each maps to any object or custom field on the other side. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | 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. | SQL pools is specific to Azure Synapse Analytics and Ad Accounts 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.
DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.
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 Azure Synapse Analytics as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Twitter Ads connection.
Changes in Azure Synapse Analytics or Twitter Ads instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics 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 Azure Synapse Analytics or Twitter Ads record.
Track your Azure Synapse Analytics ⇄ Twitter Ads sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics 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 Azure Synapse Analytics 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 Azure Synapse Analytics 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 Azure Synapse Analytics and Twitter Ads: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's Tables (dedicated SQL pool) and External tables), 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 Azure Synapse Analytics and Twitter Ads connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Synapse Analytics–Twitter Ads integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Synapse Analytics and Twitter Ads. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. 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 Azure Synapse Analytics side: Materialized views, SQL pools, Tables (dedicated SQL pool), External tables, plus custom fields where Azure Synapse Analytics exposes them. On the Twitter Ads side: Line Items, Promoted Tweets, Custom Audiences, Targeting Criteria. 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 501 integrations available for Azure Synapse Analytics and Twitter Ads.