Two-way sync
Changes in Apache Pinot or Oracle CX Sales instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot and Oracle CX Sales in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Partners, Custom objects, Accounts, Contacts from Oracle CX Sales land in Apache Pinot as live tables, updated within seconds, and columns computed in Apache Pinot write back to fields in Oracle CX Sales. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Join Oracle CX Sales's relationship data with billing, product, and support data in Apache Pinot to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in Apache Pinot can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Oracle CX Sales are queryable in Apache Pinot moments after they change, so dashboards stop lagging the reality they describe.
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 Pinot objects | Oracle CX Sales objects | How this pairing syncs | |
|---|---|---|---|
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | Opportunities Pipeline records with revenue lines, mirrored to forecasting and billing systems | Real-time Tables is specific to Apache Pinot and Opportunities to Oracle CX Sales — each maps to any object or custom field on the other side. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | Activities Tasks, appointments, and call logs used for engagement reporting | Offline Tables is specific to Apache Pinot and Activities to Oracle CX Sales — each maps to any object or custom field on the other side. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | Territories Assignment structures that downstream routing and comp tools consume | Indexes is specific to Apache Pinot and Territories to Oracle CX Sales — each maps to any object or custom field on the other side. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | Partners Channel records for organizations selling through partner networks | Tenants is specific to Apache Pinot and Partners to Oracle CX Sales — each maps to any object or custom field on the other side. | |
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Custom objects Objects built in Application Composer, exposed through the same REST conventions | Tables is specific to Apache Pinot and Custom objects to Oracle CX Sales — each maps to any object or custom field on the other side. | |
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Accounts Customer organizations, the anchor record for bi-directional CRM syncs | Schemas is specific to Apache Pinot and Accounts to Oracle CX Sales — 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 Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
DeliveryEach detected change is written to Oracle CX Sales through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Oracle CX Sales for changes on an incremental schedule, reading only records changed since the previous pass. Polling on last-update audit fields.
DeliveryEach detected change is applied to Apache Pinot as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Oracle CX Sales connection.
Changes in Apache Pinot or Oracle CX Sales instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot or Oracle CX Sales data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Pinot or Oracle CX Sales record.
Track your Apache Pinot ⇄ Oracle CX Sales sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot and Oracle CX Sales.
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 Apache Pinot and Oracle CX Sales 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 Apache Pinot and Oracle CX Sales 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 Apache Pinot and Oracle CX Sales: authenticate both systems, choose the objects to sync (such as Apache Pinot's Real-time Tables and Offline Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Apache Pinot and Oracle CX Sales. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Pinot: Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes. On Oracle CX Sales: Polling on last-update audit fields; event-driven patterns route through Oracle Integration rather than direct webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Oracle CX Sales side: Partners, Custom objects, Accounts, Contacts, plus custom fields where Oracle CX Sales exposes them. On the Apache Pinot side: Tenants, Tables, Schemas, Segments. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Apache Pinot and Oracle CX Sales: A single customer view; Cleanup that sticks; CRM analytics on live data. Join Oracle CX Sales's relationship data with billing, product, and support data in Apache Pinot to build the customer picture the CRM alone cannot hold.
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.
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Every pair below is a real-time, two-way sync. Search all 354 integrations available for Apache Pinot and Oracle CX Sales.