Two-way sync
Changes in Azure SQL Database or Wrike instantly reflect in both systems. No stale data, no manual imports.
Keep Azure SQL Database and Wrike in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Wrike through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Azure SQL Database.
Stacksync mirrors Custom Fields, Comments, Timelogs, Contacts from Wrike into Change tracking / CDC tables, Tables, Views, Schemas in Azure SQL Database and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Wrike, so the tool and the database never disagree.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Wrike are ordinary rows in Azure SQL Database; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Azure SQL Database and Stacksync propagates the change into Wrike, replacing custom integration code.
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 SQL Database objects | Wrike objects | How this pairing syncs | |
|---|---|---|---|
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Custom Fields Typed fields (Text, Numeric, Date, DropDown, Contacts, Checkbox) defined at account or space level; mapped to database columns, with values written by field ID. | Change tracking / CDC tables is specific to Azure SQL Database and Custom Fields to Wrike — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Comments Discussion and activity entries attached to Tasks and Folders; read out for history and reporting or written back as comments. | Tables is specific to Azure SQL Database and Comments to Wrike — each maps to any object or custom field on the other side. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Timelogs Time-tracking entries logged against Tasks; read for billing and utilization reporting or written back when hours are recorded elsewhere. | Views is specific to Azure SQL Database and Timelogs to Wrike — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Contacts Account members and user groups referenced by task responsibles and authors; read to resolve IDs to names and email addresses. | Schemas is specific to Azure SQL Database and Contacts to Wrike — each maps to any object or custom field on the other side. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Workflows Sets of custom statuses grouped into stages (Active, Completed, Cancelled, Deferred); read to map task status transitions to database values. | Rows and columns is specific to Azure SQL Database and Workflows to Wrike — each maps to any object or custom field on the other side. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Spaces Top-level containers that hold Folders, Projects, and their members; used to scope which Folders a given sync covers. | Stored procedures is specific to Azure SQL Database and Spaces to Wrike — 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 Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.
DeliveryEach detected change is written to Wrike through its API, with automatic retries and rate-limit backoff.
DetectionWrike notifies Stacksync of record changes through webhook events. Webhooks scoped to a folder, a space, or the whole account fire on events like TaskCreated, TaskStatusChanged, and FolderCreated, with event.
DeliveryEach detected change is applied to Azure SQL Database 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 SQL Database–Wrike connection.
Changes in Azure SQL Database or Wrike instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database or Wrike 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 SQL Database or Wrike record.
Track your Azure SQL Database ⇄ Wrike sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Wrike.
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 SQL Database and Wrike 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 SQL Database and Wrike 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 SQL Database and Wrike: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Change tracking / CDC tables and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Wrike side: Custom Fields, Comments, Timelogs, Contacts, plus custom fields where Wrike exposes them. On the Azure SQL Database side: Change tracking / CDC tables, Tables, Views, Schemas. 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.
Common patterns for Azure SQL Database and Wrike: One integration pattern for the whole stack; Read Wrike with a query; Automate Wrike from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Azure SQL Database: SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers. Authentication: SQL authentication (database credentials) or Microsoft Entra ID authentication. Wrike: REST API v4 (JSON), single account endpoint such as www.wrike.com/api/v4; the data-center host (US or EU) comes from the OAuth token response, plus REST-managed Webhooks. Authentication: OAuth 2.0 for multi-user apps (Authorization header carrying access_token and requested scopes), and a legacy Permanent Access Token for single-account and testing use. Stacksync manages authentication, retries, and rate limits on both sides.
Wrike: Webhooks can be scoped to a single folder, a space, or the entire account and support event filtering plus customizable payload fields, so a sync subscribes at the scope that matches its coverage. Azure SQL Database: It speaks the same TDS protocol as on-premises SQL Server, so existing SQL Server drivers and tools connect without modification. Stacksync's field mapping accounts for these differences between Azure SQL Database and Wrike without custom code.
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 448 integrations available for Azure SQL Database and Wrike.