Two-way sync
Changes in Greenplum or Wrike instantly reflect in both systems. No stale data, no manual imports.
Keep Greenplum 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.
Whatever Wrike is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Comments, Timelogs, Contacts, Workflows from Wrike into tables in Greenplum continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Greenplum can also be written back into fields in Wrike where the tool can use them.
Records and events from Wrike land in Greenplum as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Wrike's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Greenplum sync back onto records in Wrike, putting analysis where the work happens.
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.
| Greenplum objects | Wrike objects | How this pairing syncs | |
|---|---|---|---|
| Tables Heap or append-optimized tables mapped directly to sync targets. | 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. | Tables is specific to Greenplum and Folders & Projects to Wrike — each maps to any object or custom field on the other side. | |
| Partitions Large tables are commonly partitioned by date, which shapes incremental reads. | 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. | Partitions is specific to Greenplum and Custom Fields to Wrike — each maps to any object or custom field on the other side. | |
| Views Read-only projections used to shape data before syncing it out. | Comments Discussion and activity entries attached to Tasks and Folders; read out for history and reporting or written back as comments. | Views is specific to Greenplum and Comments to Wrike — each maps to any object or custom field on the other side. | |
| External tables Reference external files for bulk load paths alongside row-level syncs. | Timelogs Time-tracking entries logged against Tasks; read for billing and utilization reporting or written back when hours are recorded elsewhere. | External tables is specific to Greenplum and Timelogs to Wrike — each maps to any object or custom field on the other side. | |
| Rows Read and written by key; distribution keys determine where rows live. | Contacts Account members and user groups referenced by task responsibles and authors; read to resolve IDs to names and email addresses. | Rows is specific to Greenplum and Contacts to Wrike — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope a sync connection. | Workflows Sets of custom statuses grouped into stages (Active, Completed, Cancelled, Deferred); read to map task status transitions to database values. | Databases is specific to Greenplum and Workflows 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.
DetectionStacksync polls Greenplum for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key-based cursors.
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 Greenplum as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenplum–Wrike connection.
Changes in Greenplum or Wrike instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Greenplum 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 Greenplum or Wrike record.
Track your Greenplum ⇄ Wrike sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Greenplum 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 Greenplum 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 Greenplum 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 Greenplum and Wrike: authenticate both systems, choose the objects to sync (such as Greenplum's Tables and Partitions), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Greenplum and Wrike records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Greenplum and Wrike connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Greenplum–Wrike integration in-house.
Yes — Stacksync ships production-grade connectors for both Greenplum and Wrike. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Greenplum: Polling with timestamp or key-based cursors; Greenplum does not expose logical-decoding CDC. 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: Comments, Timelogs, Contacts, Workflows, plus custom fields where Wrike exposes them. On the Greenplum side: Schemas, Tables, Partitions, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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 443 integrations available for Greenplum and Wrike.