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Data warehouse ⇄ Business productivity

Apache Druid to Smartsheet integration — real-time, two-way sync

Keep Apache Druid 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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Why teams connect Apache Druid and Smartsheet

Get the data locked inside Smartsheet into Apache Druid 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 Rows, Columns, Cells, Reports from Smartsheet into tables in Apache Druid continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Druid can also be written back into fields in Smartsheet where the tool can use them.

Common use cases

  • 01 Two-way sync a project-tracker Sheet's Rows with a Postgres table so engineering works in SQL while project managers stay in Smartsheet.
  • 02 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.
  • 03 Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.
  • 04 Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.

Common sync patterns

History that outlives the tool

A continuously synced copy in Apache Druid preserves a queryable record even as data ages out of Smartsheet or gets changed inside it.

Analytics on Smartsheet's data

Records and events from Smartsheet land in Apache Druid 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.

What you can sync between Apache Druid 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.

Apache Druid objects Smartsheet objects How this pairing syncs
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Discussions and Comments Threaded comments on rows and sheets; read out to sync collaboration history or activity into another system. Datasources is specific to Apache Druid and Discussions and Comments to Smartsheet — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Users and Groups Account membership and sharing; synced to keep an HR or identity source aligned with sheet and workspace access. Segments is specific to Apache Druid and Users and Groups to Smartsheet — each maps to any object or custom field on the other side.
Dimensions String and categorical columns used for filtering and grouping in synced queries. 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. Dimensions is specific to Apache Druid and Sheets to Smartsheet — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Rows Records inside a sheet, each with createdAt/modifiedAt and cells keyed by columnId; the primary unit synced to and from external tables. Metrics is specific to Apache Druid and Rows to Smartsheet — each maps to any object or custom field on the other side.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Columns Define sheet schema and cell type (TEXT_NUMBER, DATE, CONTACT_LIST, PICKLIST, CHECKBOX); read via the API so field mappings can be generated. Ingestion Supervisors is specific to Apache Druid and Columns to Smartsheet — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. Cells Row-by-column values; writes must match the column type and no single cell can exceed 4,000 characters. Lookups is specific to Apache Druid and Cells to Smartsheet — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid 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.

Apache Druid Smartsheet Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

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

Smartsheet Apache Druid 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 Apache Druid as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • 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 Apache Druid ⇄ Smartsheet

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Smartsheet record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Druid and Smartsheet.

How the Apache Druid and Smartsheet connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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 Apache Druid 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
    Apache Druid connected
    Smartsheet connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid 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 · Apache Druid ⇄ 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
    Apache Druid Smartsheet
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid and Smartsheet 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 445 integrations available for Apache Druid and Smartsheet.

Popular · 7 of 445
All Apache Druid integrations All Smartsheet integrations Browse all integrations
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