Two-way sync
Changes in Cloudera Data Platform or RingCentral instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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.
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 Contacts (Address Book), RingOut (Click-to-call), Team Messaging (Chat), Presence from RingCentral into tables in Cloudera Data Platform in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Cloudera Data Platform — segments, contact updates, suppression flags — can be written back into fields in RingCentral wherever it exposes them, so analysis lands where outreach actually happens.
Combine RingCentral's activity with the CRM, product, and support data already in Cloudera Data Platform to attribute outcomes to the touches that drove them, which no single tool can do alone.
Segments, contact fields, or suppression flags computed in Cloudera Data Platform sync back onto records in RingCentral, putting warehouse analysis where the outreach happens.
A continuously synced copy in Cloudera Data Platform preserves messages, call logs, and events for reporting and audit even as they age out of RingCentral or get purged inside it.
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.
| Cloudera Data Platform objects | RingCentral objects | How this pairing syncs | |
|---|---|---|---|
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | 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. | Partitions is specific to Cloudera Data Platform and Subscriptions (Webhooks / WebSocket) to RingCentral — each maps to any object or custom field on the other side. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | 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. | Object store / HDFS files is specific to Cloudera Data Platform and Message Store (SMS / MMS / Fax / Voicemail) to RingCentral — each maps to any object or custom field on the other side. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Call Log Call detail records with direction, result, duration, from/to numbers, and recording references, from the account-wide and per-extension call-log endpoints, filtered by dateFrom/dateTo. Read-only records. | Databases is specific to Cloudera Data Platform and Call Log to RingCentral — each maps to any object or custom field on the other side. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Extensions (Users) User extensions with profile, status, roles, and assigned phone numbers via the Configuration API; create, update, and disable extensions to provision or deprovision users and map them to CRM, HR, or directory identities. Read and write. | Hive tables is specific to Cloudera Data Platform and Extensions (Users) to RingCentral — each maps to any object or custom field on the other side. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | 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. | Impala tables is specific to Cloudera Data Platform and Contacts (Address Book) to RingCentral — each maps to any object or custom field on the other side. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | 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. | Kudu tables is specific to Cloudera Data Platform and RingOut (Click-to-call) to RingCentral — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.
DeliveryEach detected change is written to RingCentral through its API, with automatic retries and rate-limit backoff.
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 Cloudera Data Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–RingCentral connection.
Changes in Cloudera Data Platform or RingCentral instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or RingCentral data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Cloudera Data Platform or RingCentral record.
Track your Cloudera Data Platform ⇄ RingCentral sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and RingCentral.
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.
Authenticate Cloudera Data Platform 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.
Pick the Cloudera Data Platform 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Cloudera Data Platform and RingCentral: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Partitions and Object store / HDFS files), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Cloudera Data Platform and RingCentral: Activity joined with everything else; Where RingCentral accepts updates: operational write-back; Queryable history that outlives retention. Combine RingCentral's activity with the CRM, product, and support data already in Cloudera Data Platform to attribute outcomes to the touches that drove them, which no single tool can do alone.
Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. RingCentral: 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. Stacksync manages authentication, retries, and rate limits on both sides.
RingCentral: Only personal address-book contacts are writable via the API; the company directory has no create endpoint, so contact writes are scoped to each extension's personal address book. Cloudera Data Platform: Tables can live in multiple storage engines with different update semantics: Kudu and Iceberg tables support row-level updates, while classic Hive tables are append-oriented. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and RingCentral without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Cloudera Data Platform and RingCentral records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cloudera Data Platform and RingCentral connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–RingCentral integration in-house.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 340 integrations available for Cloudera Data Platform and RingCentral.