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Data warehouse ⇄ Communications

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

Keep Apache Druid and RingCentral 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 RingCentral

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

RingCentral 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 Extensions (Users), Contacts (Address Book), RingOut (Click-to-call), Team Messaging (Chat) from RingCentral 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 RingCentral wherever it exposes them, so analysis lands where outreach actually happens.

Common use cases

  • 01 Two-way sync personal Address Book contacts so a rep's RingCentral contacts match the CRM and new CRM contacts appear in RingCentral.
  • 02 Sync Message Store SMS, MMS, and fax records into Postgres or a warehouse so support and compliance can search conversation history alongside CRM records.
  • 03 Sync Druid query results into a warehouse to combine real-time aggregates with historical models.
  • 04 Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.

Common sync patterns

Where RingCentral accepts updates: operational write-back

Segments, contact fields, or suppression flags computed in Apache Druid sync back onto records in RingCentral, putting warehouse analysis where the outreach happens.

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 RingCentral or get purged inside it.

Communications analytics without ETL

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

What you can sync between Apache Druid and RingCentral

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 RingCentral objects How this pairing syncs
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Contacts (Address Book) Personal address-book contacts per extension with full CRUD via POST/PUT/DELETE /address-book/contact; the company directory has no create endpoint and is read-only, so only personal contacts are writable. Read and write. Datasources is specific to Apache Druid and Contacts (Address Book) to RingCentral — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. RingOut (Click-to-call) Two-legged calls placed programmatically via POST /account/~/extension/~/ring-out, with status polled via GET and calls cancelled via DELETE; a write/action path for click-to-dial from a CRM or internal app. Write. Segments is specific to Apache Druid and RingOut (Click-to-call) to RingCentral — 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. Team Messaging (Chat) RingCentral team-messaging chats, teams, and posts (formerly Glip); read conversations and create posts, create teams, and add or remove members to mirror org structure. Read and write. Dimensions is specific to Apache Druid and Team Messaging (Chat) to RingCentral — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Presence Real-time presence and detailed telephony state per extension, read via GET presence and subscribed to for live updates, used to reflect agent availability and call status across systems. Read-only. Metrics is specific to Apache Druid and Presence to RingCentral — 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. Subscriptions (Webhooks / WebSocket) Event subscriptions created through the Subscription API with eventFilters (message-store, presence, telephony sessions, extension changes); full CRUD, and the mechanism for near-real-time change delivery over webhooks or WebSocket. Read and write. Ingestion Supervisors is specific to Apache Druid and Subscriptions (Webhooks / WebSocket) to RingCentral — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. Message Store (SMS / MMS / Fax / Voicemail) Messages in an extension's mailbox - SMS, MMS, fax, voicemail, and pager - read via GET /account/~/extension/~/message-store filtered by dateFrom/dateTo and messageType; outbound SMS is sent via POST /sms, MMS and fax via POST /fax, and messages can be marked read or deleted. Read and write. Lookups is specific to Apache Druid and Message Store (SMS / MMS / Fax / Voicemail) to RingCentral — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid and RingCentral

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

RingCentral Apache Druid Sub-second propagation

DetectionRingCentral notifies Stacksync of record changes through webhook events. Subscription API webhooks (with a validation-token echo handshake) or WebSocket subscriptions on eventFilters such as message-store/instant,.

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.
  • RingCentral: Per-user (extension) throttling groups per 60 seconds - Heavy 10, Medium 40 (e.g. /sms), Light 50, Auth 5 - as customizable defaults; exceeding returns HTTP 429 with a Retry-After header and X-Rate-Limit-Group/Limit/Remaining/Window headers.
What ships with Apache Druid ⇄ RingCentral

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or RingCentral 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 RingCentral record.

Observability

Monitoring

Track your Apache Druid ⇄ RingCentral 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 RingCentral.

How the Apache Druid and RingCentral 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

RingCentral

Integration surface
REST API (RingEX Platform API) on platform.ringcentral.com, base path /restapi/v1.0, with resources under account/~/extension/~/ (message-store, call-log, sms, fax, ring-out, address-book, presence, subscription) plus the Configuration API for provisioning
Authentication
OAuth 2.0 - authorization code flow (with PKCE) for user-facing apps, and JWT bearer flow for server-to-server integrations; the legacy password (ROPC) grant was retired on March 31, 2024
Change detection
Subscription API webhooks (with a validation-token echo handshake) or WebSocket subscriptions on eventFilters such as message-store/instant, presence, and telephony/sessions; historical pulls poll message-store and call-log on dateFrom/dateTo
Capabilities
read · write · webhooks
Rate limits
Per-user (extension) throttling groups per 60 seconds - Heavy 10, Medium 40 (e.g. /sms), Light 50, Auth 5 - as customizable defaults; exceeding returns HTTP 429 with a Retry-After header and X-Rate-Limit-Group/Limit/Remaining/Window headers
RingCentral setup guide
How it works

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

    Choose tables

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

Apache Druid and RingCentral 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 344 integrations available for Apache Druid and RingCentral.

Popular · 8 of 344
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