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Data warehouse ⇄ Business productivity

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

Keep Databricks and Smartsheet 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 Databricks and Smartsheet

Get the data locked inside Smartsheet into Databricks as live tables, and send results back where Smartsheet can use them, without writing a pipeline.

Whatever Smartsheet is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Columns, Cells, Reports, Attachments from Smartsheet into tables in Databricks continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Databricks can also be written back into fields in Smartsheet where the tool can use them.

Common use cases

  • 01 Write records from a CRM or ERP into Smartsheet Rows so ops teams manage intake and status in a grid, then push status Cells back to the source.
  • 02 Pull Reports and Sheets into a warehouse for cross-project reporting and dashboards without manual CSV exports.
  • 03 Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
  • 04 Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.

Common sync patterns

Analytics on Smartsheet's data

Records and events from Smartsheet land in Databricks as queryable tables, current within seconds and ready to join with the rest of the warehouse.

Cross-tool reporting

Combine Smartsheet's data with data from every other synced system to answer questions no single tool can.

Where Smartsheet accepts updates: operational write-back

Segments, scores, or reference values computed in Databricks sync back onto records in Smartsheet, putting analysis where the work happens.

What you can sync between Databricks and Smartsheet

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 Smartsheet objects How this pairing syncs
SQL Warehouses The compute endpoint a sync connects to for query execution. Users and Groups Account membership and sharing; synced to keep an HR or identity source aligned with sheet and workspace access. SQL Warehouses is specific to Databricks and Users and Groups to Smartsheet — 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. Sheets The core container; each sheet has typed columns, rows, and a modifiedAt stamp. Stacksync treats a sheet as a table and syncs its rows two-way. Change Data Feed is specific to Databricks and Sheets to Smartsheet — 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. Rows Records inside a sheet, each with createdAt/modifiedAt and cells keyed by columnId; the primary unit synced to and from external tables. Catalogs is specific to Databricks and Rows to Smartsheet — each maps to any object or custom field on the other side.
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Columns Define sheet schema and cell type (TEXT_NUMBER, DATE, CONTACT_LIST, PICKLIST, CHECKBOX); read via the API so field mappings can be generated. Schemas is specific to Databricks and Columns to Smartsheet — each maps to any object or custom field on the other side.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Cells Row-by-column values; writes must match the column type and no single cell can exceed 4,000 characters. Delta Tables is specific to Databricks and Cells to Smartsheet — each maps to any object or custom field on the other side.
Views Curated read-only projections used as sync sources for downstream tools. Reports Read-only roll-ups spanning multiple sheets; pulled into a warehouse for cross-sheet reporting, capped at 50,000 rows. Views is specific to Databricks and Reports to Smartsheet — each maps to any object or custom field on the other side.

How changes propagate between Databricks and Smartsheet

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

Smartsheet Databricks Sub-second propagation

DetectionSmartsheet notifies Stacksync of record changes through webhook events. Sheet-scoped webhooks subscribed to *.* events notify on row and cell changes.

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.
  • Smartsheet: 300 requests per minute per access token; heavy calls like posting attachments cost 10x (30/min). A 429 returns errorCode 4003, back off ~60s.
What ships with Databricks ⇄ Smartsheet

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks or Smartsheet 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 Smartsheet record.

Observability

Monitoring

Track your Databricks ⇄ Smartsheet 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 Smartsheet.

How the Databricks and Smartsheet 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

Smartsheet

Integration surface
REST API (v2.0)
Authentication
OAuth 2.0 authorization-code flow, or a raw/personal API access token passed as a Bearer header
Change detection
Sheet-scoped webhooks subscribed to *.* events notify on row and cell changes; otherwise polling on sheet and row modifiedAt timestamps
Capabilities
read · write · webhooks
Rate limits
300 requests per minute per access token; heavy calls like posting attachments cost 10x (30/min). A 429 returns errorCode 4003, back off ~60s.
How it works

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

    Choose tables

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

Databricks and Smartsheet 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.

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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 555 integrations available for Databricks and Smartsheet.

Popular · 8 of 555
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