Two-way sync
Changes in Citus or Wrike instantly reflect in both systems. No stale data, no manual imports.
Keep Citus 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 Citus.
Stacksync mirrors Timelogs, Contacts, Workflows, Spaces from Wrike into Sequences, Distributed tables, Reference tables, Local tables in Citus 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.
Write to the synced tables in Citus and Stacksync propagates the change into Wrike, replacing custom integration code.
Updates in Wrike arrive as row changes in Citus, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 | Wrike objects | How this pairing syncs | |
|---|---|---|---|
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Workflows Sets of custom statuses grouped into stages (Active, Completed, Cancelled, Deferred); read to map task status transitions to database values. | Local tables is specific to Citus and Workflows to Wrike — 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. | Spaces Top-level containers that hold Folders, Projects, and their members; used to scope which Folders a given sync covers. | Schemas is specific to Citus and Spaces to Wrike — 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. | Tasks The primary unit of work and main record; created, updated, completed, and deleted via the REST v4 API and synced two-way. Subtasks are Tasks linked by superTask/subTask references. | Views is specific to Citus and Tasks to Wrike — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Folders & Projects The container hierarchy: Folders group Tasks, and Projects add dates, an owner, and a status. Each maps to a synced table scope, and its structure defines what a sync covers. | Sequences is specific to Citus and Folders & Projects to Wrike — 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. | 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. | Distributed tables is specific to Citus and Custom Fields to Wrike — 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. | Comments Discussion and activity entries attached to Tasks and Folders; read out for history and reporting or written back as comments. | Reference tables is specific to Citus and Comments 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 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 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 Citus as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Wrike connection.
Changes in Citus or Wrike instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus 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 Citus or Wrike record.
Track your Citus ⇄ Wrike sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus 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 Citus 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 Citus 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 Citus and Wrike: authenticate both systems, choose the objects to sync (such as Citus's Local tables and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On Wrike: Webhooks scoped to a folder, a space, or the whole account fire on events like TaskCreated, TaskStatusChanged, and FolderCreated, with event filtering and custom payload fields; polling the task updatedDate is the fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Wrike side: Timelogs, Contacts, Workflows, Spaces, plus custom fields where Wrike exposes them. On the Citus side: Sequences, Distributed tables, Reference tables, Local tables. 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 Citus and Wrike: Automate Wrike from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in Citus and Stacksync propagates the change into Wrike, replacing custom integration code.
Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). 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.
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 437 integrations available for Citus and Wrike.