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Data warehouse ⇄ CRM

Databricks to Seismic integration — real-time, two-way sync

Keep Databricks and Seismic 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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Why teams connect Databricks and Seismic

Sync Seismic into Databricks continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Reporting Activities, Library Content, Content Versions, Users from Seismic land in Databricks as live tables, updated within seconds, and columns computed in Databricks write back to fields in Seismic. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 React to ContentManager and DSR webhook events to update a database when documents are published, versioned, or expired.
  • 02 Provision and deactivate Seismic Users and User Groups from an HRIS or IdP so content access mirrors joiner, mover, and leaver changes.
  • 03 Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • 04 Serve ML feature outputs computed in Databricks to production apps through a synced operational store.

Common sync patterns

Cleanup that sticks

Deduplication and normalization done in Databricks can be written back, so warehouse-side cleanup actually fixes the CRM.

CRM analytics on live data

Accounts, contacts, and activity from Seismic are queryable in Databricks moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Databricks appear as fields in Seismic, where the people working accounts actually see them.

What you can sync between Databricks and Seismic

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.

Databricks objects Seismic objects How this pairing syncs
Views Curated read-only projections used as sync sources for downstream tools. Content Versions Version history for a library item; new versions upload via API and old ones expire, with events firing on ContentManager webhooks. Views is specific to Databricks and Content Versions to Seismic — each maps to any object or custom field on the other side.
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Users User records managed through SCIM 2.0 and legacy user endpoints; created, updated, and deactivated for provisioning sync. Materialized Views is specific to Databricks and Users to Seismic — each maps to any object or custom field on the other side.
Volumes Unity Catalog file storage used for staging bulk loads. User Groups Group definitions and membership that govern content access; synced from an IdP or HRIS to keep permissions current. Volumes is specific to Databricks and User Groups to Seismic — each maps to any object or custom field on the other side.
SQL Warehouses The compute endpoint a sync connects to for query execution. Teamsites Tenant-scoped workspace partitions organizing Library content, permissions, and config; scoped by teamSiteId on most content calls. SQL Warehouses is specific to Databricks and Teamsites to Seismic — each maps to any object or custom field on the other side.
Change Data Feed Row-level change records on Delta tables that drive incremental reads. LiveSend Links Trackable content-share links created via the engagement API; their open and view engagement is read back through Reporting. Change Data Feed is specific to Databricks and LiveSend Links to Seismic — each maps to any object or custom field on the other side.
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Digital Sales Rooms Buyer-facing microsites (DSRs); lifecycle and content-change events surface via webhooks, currently marked Early Access. Catalogs is specific to Databricks and Digital Sales Rooms to Seismic — each maps to any object or custom field on the other side.

How changes propagate between Databricks and Seismic

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.

Databricks Seismic Sub-second propagation

DetectionChanges in Databricks are captured at the source via change data capture — no polling loop against its API. Delta Lake Change Data Feed for row-level changes.

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

Seismic Databricks Sub-second propagation

DetectionSeismic notifies Stacksync of record changes through webhook events. Webhooks for content, version, user, group, workflow, DSR, and LiveSend events.

DeliveryEach detected change is applied to Databricks as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Databricks: Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits.
  • Seismic: Tiered per-endpoint limits over a rolling 60-second window; exceeding returns HTTP 429, with X-Seismic-Remaining-Calls and X-Seismic-Total-Calls headers.
What ships with Databricks ⇄ Seismic

Connect Databricks and Seismic for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Databricks or Seismic instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks or Seismic 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 Databricks or Seismic record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Databricks and Seismic.

How the Databricks and Seismic connectors work

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits

Seismic

Integration surface
REST Integration APIs and Reporting API v2
Authentication
OAuth 2.0 / OpenID Connect; Bearer token in the Authorization header, via Authorization Code (user context) or client-credentials app-only flows
Change detection
Webhooks for content, version, user, group, workflow, DSR, and LiveSend events; the Reporting API v2 is polled for batch historical extracts (ETL-oriented, not high-frequency)
Capabilities
read · write · webhooks
Rate limits
Tiered per-endpoint limits over a rolling 60-second window; exceeding returns HTTP 429, with X-Seismic-Remaining-Calls and X-Seismic-Total-Calls headers
Seismic setup guide
How it works

How to connect Databricks to Seismic — 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 Databricks and Seismic 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
    Databricks connected
    Seismic connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Databricks and Seismic 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 · Databricks ⇄ Seismic
    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
    Databricks Seismic
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Databricks and Seismic 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
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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 573 integrations available for Databricks and Seismic.

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