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Database ⇄ Analytics

Apache Cassandra to Tableau integration — real-time data sync

Keep Apache Cassandra 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.

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Why teams connect Apache Cassandra and Tableau

Give Tableau the users, events, and records that live in Apache Cassandra in real time, and sync the cohorts and scores Tableau computes back into Apache Cassandra where your applications read them.

Tableau is a read-only source: Stacksync reads its data in real time and delivers it into Apache Cassandra, so Apache Cassandra 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 Apache Cassandra 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.

Common use cases

  • 01 Read site Users and their site roles for periodic access reviews and to reconcile Tableau accounts against an HR or IdP source of record.
  • 02 Read Databases, Tables, and Fields from the Metadata API to populate a data catalog with Tableau lineage and column definitions.
  • 03 Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
  • 04 Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.

Common sync patterns

Where Tableau tracks product events: behavior onto stored records

Signup, usage, and lifecycle events captured in Tableau sync into Apache Cassandra as rows, so applications and internal tools can read behavioral data next to the records they already keep.

Where Tableau builds cohorts or scores: results your services can read

Segments, cohorts, or scores computed in Tableau sync back into Apache Cassandra, where the services that read from the database act on them at query speed without calling the analytics API.

Analytics on live operational data, minus the pipeline

The users, events, orders, and records stored in Apache Cassandra land in Tableau as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.

What you can sync between Apache Cassandra and Tableau

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.

Apache Cassandra objects Tableau objects How this pairing syncs
Partitions and Rows Records located by partition and clustering keys during reads and upserts. Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. Partitions and Rows is specific to Apache Cassandra and Databases and Tables to Tableau — each maps to any object or custom field on the other side.
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. Materialized Views is specific to Apache Cassandra and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side.
Secondary Indexes Optional indexes that allow filtered reads outside the partition key. Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. Secondary Indexes is specific to Apache Cassandra and Fields and Columns to Tableau — each maps to any object or custom field on the other side.
User-Defined Types Composite column types that syncs must flatten or map to structured fields. 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. User-Defined Types is specific to Apache Cassandra and Published Data Sources to Tableau — each maps to any object or custom field on the other side.
Collections List, set, and map columns handled with type-aware field mapping. Workbooks Workbook content and metadata read via the REST and Metadata APIs; create, update, and delete events fire webhooks for change detection. Collections is specific to Apache Cassandra and Workbooks to Tableau — each maps to any object or custom field on the other side.
Counters Increment-only counter columns, usually read-only in syncs. Views Worksheets and dashboards inside workbooks; their data and crosstab export as CSV via the REST query-view-data endpoint. Counters is specific to Apache Cassandra and Views to Tableau — each maps to any object or custom field on the other side.

How changes propagate between Apache Cassandra and Tableau

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.

Apache Cassandra Tableau Sub-second propagation

DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.

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 Apache Cassandra records.

Tableau Apache Cassandra Sub-second propagation

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 Apache Cassandra through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
  • Tableau: Tableau Cloud enforces per-site REST rate limits and returns HTTP 429; a PAT allows only one concurrent session and expires after 15 consecutive days of non-use.
What ships with Apache Cassandra ⇄ Tableau

Connect Apache Cassandra and Tableau for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Tableau connection.

Real-time

Real-time sync

Changes in Apache Cassandra or Tableau instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or Tableau 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 Apache Cassandra or Tableau record.

Observability

Monitoring

Track your Apache Cassandra ⇄ Tableau sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Tableau.

How the Apache Cassandra and Tableau connectors work

Apache Cassandra

Integration surface
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

Tableau

Integration surface
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.
Change detection
Webhooks fire on workbook and data source create/update/delete and extract refresh events; otherwise content and metadata are polled via REST list endpoints (updatedAt) and the Metadata API.
Capabilities
read · webhooks
Rate limits
Tableau Cloud enforces per-site REST rate limits and returns HTTP 429; a PAT allows only one concurrent session and expires after 15 consecutive days of non-use.
How it works

How to connect Apache Cassandra to Tableau — 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 Apache Cassandra 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Cassandra connected
    Tableau connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Cassandra 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Cassandra ⇄ Tableau
    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
    Apache Cassandra Tableau
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Cassandra and Tableau integration FAQ

SECURITY

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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.

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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 362 integrations available for Apache Cassandra and Tableau.

Popular · 8 of 362
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