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Database ⇄ Business productivity

Elasticsearch to Wrike integration — real-time, two-way sync

Keep Elasticsearch 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Elasticsearch and Wrike

Mirror Wrike's data into Elasticsearch 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 Elasticsearch.

Stacksync mirrors Spaces, Tasks, Folders & Projects, Custom Fields from Wrike into Documents, Index mappings, Aliases, Data streams in Elasticsearch 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 Sync Comments and status changes from Wrike into a database so downstream dashboards and tools react to project progress in near real time.
  • 02 Two-way sync of Tasks and their Custom Fields between a Wrike project and Postgres so ops teams work in SQL while project owners stay in Wrike.
  • 03 Feed enriched customer records into an index used for vector or hybrid search in AI applications.
  • 04 Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.

Common sync patterns

React to changes as they happen

Updates in Wrike arrive as row changes in Elasticsearch, so triggers, jobs, and services can respond in near real time.

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 Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Elasticsearch 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.

Elasticsearch objects Wrike objects How this pairing syncs
Indices Target containers for synced records; each holds a table-like collection of JSON documents. Contacts Account members and user groups referenced by task responsibles and authors; read to resolve IDs to names and email addresses. Indices is specific to Elasticsearch and Contacts to Wrike — each maps to any object or custom field on the other side.
Documents The unit of sync; JSON records created, updated, and deleted by _id. Workflows Sets of custom statuses grouped into stages (Active, Completed, Cancelled, Deferred); read to map task status transitions to database values. Documents is specific to Elasticsearch and Workflows to Wrike — each maps to any object or custom field on the other side.
Index mappings Field type definitions that determine how synced fields are indexed and queried. Spaces Top-level containers that hold Folders, Projects, and their members; used to scope which Folders a given sync covers. Index mappings is specific to Elasticsearch and Spaces to Wrike — each maps to any object or custom field on the other side.
Aliases Stable read/write names that let a sync cut over between index versions without downtime. 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. Aliases is specific to Elasticsearch and Tasks to Wrike — each maps to any object or custom field on the other side.
Data streams Append-only targets for time-series or event data pushed from source systems. 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. Data streams is specific to Elasticsearch and Folders & Projects to Wrike — each maps to any object or custom field on the other side.
Ingest pipelines Server-side transforms applied to documents as a sync writes them. 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. Ingest pipelines is specific to Elasticsearch and Custom Fields to Wrike — each maps to any object or custom field on the other side.

How changes propagate between Elasticsearch 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.

Elasticsearch Wrike Interval-based propagation

DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.

DeliveryEach detected change is written to Wrike through its API, with automatic retries and rate-limit backoff.

Wrike Elasticsearch 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 written to Elasticsearch through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
  • 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 Elasticsearch ⇄ Wrike

Connect Elasticsearch and Wrike for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Wrike connection.

Real-time

Two-way sync

Changes in Elasticsearch or Wrike instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or Wrike record.

Observability

Monitoring

Track your Elasticsearch ⇄ Wrike sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Elasticsearch and Wrike.

How the Elasticsearch and Wrike connectors work

Elasticsearch

Integration surface
REST API (JSON over HTTP)
Authentication
API keys or basic authentication; Elastic Cloud also issues service account tokens
Change detection
Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
Capabilities
read · write
Rate limits
No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity

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
Wrike setup guide
How it works

How to connect Elasticsearch 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.

  1. 01

    Connect your apps

    Authenticate Elasticsearch 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Elasticsearch connected
    Wrike connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Elasticsearch 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Elasticsearch ⇄ Wrike
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Elasticsearch Wrike
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Elasticsearch and Wrike integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 525 integrations available for Elasticsearch and Wrike.

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