Real-time
Two-way sync
Changes in Amazon DynamoDB or Wrike instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Amazon DynamoDB to Wrike integration — real-time, two-way sync
Keep Amazon DynamoDB 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.
- 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
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Migrated from MuleSoft
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Migrated from Celigo
Why teams connect Amazon DynamoDB and Wrike
Mirror Wrike's data into Amazon DynamoDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.
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 Amazon DynamoDB.
Stacksync mirrors Contacts, Workflows, Spaces, Tasks from Wrike into Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams, Global Tables in Amazon DynamoDB 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.
Common use cases
- 01 Push support tickets or intake requests from an operational database into Wrike Tasks, then read completion and status Custom Fields back when work finishes.
- 02 Sync Comments and status changes from Wrike into a database so downstream dashboards and tools react to project progress in near real time.
- 03 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
- 04 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
Common sync patterns
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Wrike with a query
Records from Wrike are ordinary rows in Amazon DynamoDB; join them, index them, and use them in application logic without touching the vendor API.
Automate Wrike from your codebase
Write to the synced tables in Amazon DynamoDB and Stacksync propagates the change into Wrike, replacing custom integration code.
What you can sync between Amazon DynamoDB and Wrike
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.
| Amazon DynamoDB objects | Wrike objects | How this pairing syncs | |
|---|---|---|---|
| Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. | 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. | Tables is specific to Amazon DynamoDB and Custom Fields to Wrike — each maps to any object or custom field on the other side. | |
| Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. | Comments Discussion and activity entries attached to Tasks and Folders; read out for history and reporting or written back as comments. | Items is specific to Amazon DynamoDB and Comments to Wrike — each maps to any object or custom field on the other side. | |
| Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. | Timelogs Time-tracking entries logged against Tasks; read for billing and utilization reporting or written back when hours are recorded elsewhere. | Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Timelogs to Wrike — each maps to any object or custom field on the other side. | |
| Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. | Contacts Account members and user groups referenced by task responsibles and authors; read to resolve IDs to names and email addresses. | Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Contacts to Wrike — each maps to any object or custom field on the other side. | |
| DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. | Workflows Sets of custom statuses grouped into stages (Active, Completed, Cancelled, Deferred); read to map task status transitions to database values. | DynamoDB Streams is specific to Amazon DynamoDB and Workflows to Wrike — each maps to any object or custom field on the other side. | |
| Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. | Spaces Top-level containers that hold Folders, Projects, and their members; used to scope which Folders a given sync covers. | Global Tables is specific to Amazon DynamoDB and Spaces to Wrike — each maps to any object or custom field on the other side. |
How changes propagate between Amazon DynamoDB and Wrike
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.
Amazon DynamoDB Wrike Sub-second propagation
DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.
DeliveryEach detected change is written to Wrike through its API, with automatic retries and rate-limit backoff.
Wrike Amazon DynamoDB Sub-second propagation
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 Amazon DynamoDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
- Wrike: Approximately 400 requests/minute per user (estimated on a per-second basis) with a higher per-IP ceiling; exceeding the limit or tripping Wrike's internal overload protection returns HTTP 429, handled with exponential backoff.
What ships with Amazon DynamoDB ⇄ Wrike
Connect Amazon DynamoDB and Wrike for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–Wrike connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon DynamoDB or Wrike 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 Amazon DynamoDB or Wrike record.
Observability
Monitoring
Track your Amazon DynamoDB ⇄ Wrike sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and Wrike.
How the Amazon DynamoDB and Wrike connectors work
Amazon DynamoDB
- Integration surface
- AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
- Authentication
- AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
- Change detection
- DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
Wrike
- Integration surface
- 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
- Change detection
- 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
- Capabilities
- read · write · webhooks
- Rate limits
- Approximately 400 requests/minute per user (estimated on a per-second basis) with a higher per-IP ceiling; exceeding the limit or tripping Wrike's internal overload protection returns HTTP 429, handled with exponential backoff
How it works
How to connect Amazon DynamoDB to Wrike — 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.
- 01
Connect your apps
Authenticate Amazon DynamoDB 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.
Amazon DynamoDB
connected
Wrike
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon DynamoDB 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.
objects · Amazon DynamoDB ⇄ WrikeCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Amazon DynamoDB WrikeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon DynamoDB and Wrike integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Amazon DynamoDB and Wrike: authenticate both systems, choose the objects to sync (such as Amazon DynamoDB's Tables and Items), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Amazon DynamoDB and Wrike records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon DynamoDB and Wrike connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon DynamoDB–Wrike integration in-house.
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Yes — Stacksync ships production-grade connectors for both Amazon DynamoDB and Wrike. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Amazon DynamoDB: DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks. 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.
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On the Wrike side: Contacts, Workflows, Spaces, Tasks, plus custom fields where Wrike exposes them. On the Amazon DynamoDB side: Global secondary indexes (GSIs), Local secondary indexes (LSIs), DynamoDB Streams, Global Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 543 integrations available for Amazon DynamoDB and Wrike.
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