Real-time sync
Changes in RavenDB or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep RavenDB and Tableau in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Tableau is a read-only source: Stacksync reads its data in real time and delivers it into RavenDB, so RavenDB always reflects the current state of Tableau — without exports, scripts, or schedulers.
A database holds the rows your business runs on: the users, events, orders, and records that every service reads and writes. Tableau is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from RavenDB into Tableau usually means a hand-built extract or a change-data-capture pipeline that breaks the moment a column is renamed, and reporting that always trails last night's load.
Signup, usage, and lifecycle events captured in Tableau sync into RavenDB as rows, so applications and internal tools can read behavioral data next to the records they already keep.
Segments, cohorts, or scores computed in Tableau sync back into RavenDB, where the services that read from the database act on them at query speed without calling the analytics API.
The users, events, orders, and records stored in RavenDB land in Tableau as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
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.
| RavenDB objects | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Data subscriptions Server-side change feeds that push matching documents to consumers | Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | Data subscriptions is specific to RavenDB and Projects to Tableau — each maps to any object or custom field on the other side. | |
| Documents JSON records, the primary unit read and written during sync | Users Site users with site roles and group membership; read via REST for access reviews and to reconcile identities against an HR or IdP source. | Documents is specific to RavenDB and Users to Tableau — each maps to any object or custom field on the other side. | |
| Collections Groupings of documents by type, mapped to tables in relational targets | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Collections is specific to RavenDB and Databases and Tables to Tableau — each maps to any object or custom field on the other side. | |
| Indexes Static and auto indexes used to query documents for filtered reads | Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. | Indexes is specific to RavenDB and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side. | |
| Attachments Binary payloads stored with documents, handled separately from the JSON body | Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. | Attachments is specific to RavenDB and Fields and Columns to Tableau — each maps to any object or custom field on the other side. | |
| Revisions Historical versions of documents, useful for audit-oriented replication | Published Data Sources Published data sources (.tdsx); their underlying rows are read via the VizQL Data Service, and refresh state is tracked through content webhooks. | Revisions is specific to RavenDB and Published Data Sources to Tableau — 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 RavenDB are captured at the source via change data capture — no polling loop against its API. Data subscriptions and the Changes API provide server-pushed change feeds.
DeliveryTableau does not accept inbound record writes, so this direction carries requests rather than records: Tableau's output flows back as field updates on the originating RavenDB records.
DetectionTableau notifies Stacksync of record changes through webhook events. Webhooks fire on workbook and data source create/update/delete and extract refresh events.
DeliveryEach detected change is written to RavenDB through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every RavenDB–Tableau connection.
Changes in RavenDB or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever RavenDB or Tableau data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single RavenDB or Tableau record.
Track your RavenDB ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between RavenDB and Tableau.
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 RavenDB and Tableau 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 RavenDB and Tableau 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 integration between RavenDB and Tableau — Tableau is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
On the Tableau side: Views, Projects, Users, Databases and Tables, plus custom fields where Tableau exposes them. On the RavenDB side: Time series, Data subscriptions, Documents, Collections. Stacksync auto-detects both schemas and converts types between the two systems.
Tableau is a read-only source, so this integration runs one-way: Stacksync reads from Tableau in real time and delivers into RavenDB. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for RavenDB and Tableau: Where Tableau tracks product events: behavior onto stored records; Where Tableau builds cohorts or scores: results your services can read; Analytics on live operational data, minus the pipeline. Signup, usage, and lifecycle events captured in Tableau sync into RavenDB as rows, so applications and internal tools can read behavioral data next to the records they already keep.
RavenDB: HTTP REST API with official clients (.NET, Java, Node.js, Python, and others). Authentication: X.509 client certificates on secured servers, instead of username and password. Tableau: REST API, Metadata API (GraphQL), and VizQL Data Service. Authentication: Sign-in via Personal Access Token (PAT) or username/password returns a credentials token sent as the X-Tableau-Auth header; Connected Apps issue JWTs for OAuth-style access. One active session per PAT. Stacksync manages authentication, retries, and rate limits on both sides.
Tableau: Webhooks cover a fixed set of workbook, data source, view, and admin events; there is no generic row-changed event, so underlying data changes are detected by re-querying. RavenDB: Documents can carry attachments, revisions, counters, and time series alongside the JSON body, so a complete sync covers more than the document payload. Stacksync's field mapping accounts for these differences between RavenDB and Tableau 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.
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Every pair below is a real-time, two-way sync. Search all 362 integrations available for RavenDB and Tableau.