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Data warehouse ⇄ Communications

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

Keep Apache Druid and Gmail 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 Gmail

Land the messages, calls, and events from Gmail in Apache Druid as live tables, and write results back, without building or maintaining a pipeline.

Gmail produces a constant stream of activity — messages sent and received, calls placed and answered, meetings held, and the delivery and engagement events attached to them. That record is what the rest of the company wants to analyze, and it usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay to get it out.

Stacksync syncs Threads, Labels, Drafts, Attachments from Gmail into tables in Apache Druid in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Apache Druid — segments, contact updates, suppression flags — can be written back into fields in Gmail wherever it exposes them, so analysis lands where outreach actually happens.

Common use cases

  • 01 Create Drafts in a rep's mailbox from CRM templates and sequences, keeping sends authentic to the sender's address and signature.
  • 02 Read Attachments and message metadata into a warehouse or document store for retention, discovery, and compliance reporting.
  • 03 Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.
  • 04 Sync Druid query results into a warehouse to combine real-time aggregates with historical models.

Common sync patterns

Queryable history that outlives retention

A continuously synced copy in Apache Druid preserves messages, call logs, and events for reporting and audit even as they age out of Gmail or get purged inside it.

Communications analytics without ETL

Messages, calls, and events from Gmail arrive in Apache Druid as queryable tables, current within seconds instead of a day behind.

Engagement and delivery on live data

Sends, opens, clicks, bounces, and call outcomes from Gmail land in Apache Druid as they happen, so deliverability and response monitoring stop lagging the reality they describe.

What you can sync between Apache Druid and Gmail

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 Gmail objects How this pairing syncs
Tasks Batch ingestion and compaction jobs monitored during data loads. Attachments File payloads referenced by message part; read out to storage or a document system for archival and compliance workflows. Tasks is specific to Apache Druid and Attachments to Gmail — each maps to any object or custom field on the other side.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. History The incremental change log keyed by historyId; used for efficient delta sync so only mailbox changes since the last cursor are fetched. Datasources is specific to Apache Druid and History to Gmail — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Messages Individual emails with headers, body, and label state; read out to a CRM or warehouse for activity logging, and sent or modified two-way from sales tools. Segments is specific to Apache Druid and Messages to Gmail — 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. Threads Conversation groupings that keep replies together; synced so a CRM timeline or support desk shows the full exchange, not isolated messages. Dimensions is specific to Apache Druid and Threads to Gmail — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Labels User and system labels (INBOX, SENT, custom); applied and removed via sync to mirror pipeline stages or triage states from an external system. Metrics is specific to Apache Druid and Labels to Gmail — 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. Drafts Unsent messages; created and updated from templates or sequence tools so reps review before sending from their own mailbox. Ingestion Supervisors is specific to Apache Druid and Drafts to Gmail — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid and Gmail

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

Gmail Apache Druid Sub-second propagation

DetectionGmail notifies Stacksync of record changes through webhook events. Incremental sync via users.history.list from a stored historyId cursor, plus real-time push notifications through Google Cloud Pub/Sub watch on the.

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.
  • Gmail: Quota is measured in units per user per second (e.g. messages.list = 5 units, messages.send = 100 units) against a 250 quota-unit/user/second limit and a daily project cap; exceeding limits returns 429 with exponential backoff expected.
What ships with Apache Druid ⇄ Gmail

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or Gmail 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 Gmail record.

Observability

Monitoring

Track your Apache Druid ⇄ Gmail 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 Gmail.

How the Apache Druid and Gmail 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

Gmail

Integration surface
Gmail API (REST, v1)
Authentication
OAuth 2.0 via Google — user-authorized consent with granular scopes (gmail.readonly, gmail.modify, gmail.send, gmail.labels); restricted scopes require Google's app verification for production use
Change detection
Incremental sync via users.history.list from a stored historyId cursor, plus real-time push notifications through Google Cloud Pub/Sub watch on the mailbox (watch must be renewed at least every 7 days)
Capabilities
read · write · webhooks
Rate limits
Quota is measured in units per user per second (e.g. messages.list = 5 units, messages.send = 100 units) against a 250 quota-unit/user/second limit and a daily project cap; exceeding limits returns 429 with exponential backoff expected.
How it works

How to connect Apache Druid to Gmail — 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 Gmail 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
    Gmail connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Apache Druid and Gmail 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 291 integrations available for Apache Druid and Gmail.

Popular · 6 of 291
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