Two-way sync
Changes in Chorusai or Greenplum instantly reflect in both systems. No stale data, no manual imports.
Keep Chorusai and Greenplum 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. Playlists, Engagements, Recordings (Conversations), Users from Chorusai land in Greenplum as live tables, updated within seconds, and columns computed in Greenplum write back to fields in Chorusai. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Deduplication and normalization done in Greenplum can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Chorusai are queryable in Greenplum moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Greenplum appear as fields in Chorusai, where the people working accounts actually see them.
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.
| Chorusai objects | Greenplum objects | How this pairing syncs | |
|---|---|---|---|
| Trackers AI keyword and topic trackers (pricing, competitors, next steps) surfaced within a conversation; read out as coaching and deal-risk signals. | Partitions Large tables are commonly partitioned by date, which shapes incremental reads. | Trackers is specific to Chorusai and Partitions to Greenplum — each maps to any object or custom field on the other side. | |
| Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. | Views Read-only projections used to shape data before syncing it out. | Deals is specific to Chorusai and Views to Greenplum — each maps to any object or custom field on the other side. | |
| Scorecards Call QA and coaching assessments with reviewer, recipient, and scores; read and exported for rep-performance reporting. | External tables Reference external files for bulk load paths alongside row-level syncs. | Scorecards is specific to Chorusai and External tables to Greenplum — each maps to any object or custom field on the other side. | |
| Moments Timestamped highlight clips from a conversation; created via the API to capture key call snippets. | Rows Read and written by key; distribution keys determine where rows live. | Moments is specific to Chorusai and Rows to Greenplum — each maps to any object or custom field on the other side. | |
| Playlists Curated collections of Moments and Recordings; created and managed to share coaching examples across teams. | Databases Top-level containers that scope a sync connection. | Playlists is specific to Chorusai and Databases to Greenplum — each maps to any object or custom field on the other side. | |
| Engagements Meetings and dialer calls, the core record; filterable by date_time, participants, and processing_state, and polled incrementally to read conversation activity out. | Schemas Namespace tables and control which objects a sync can see. | Engagements is specific to Chorusai and Schemas to Greenplum — 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 Chorusai for changes on an incremental schedule, reading only records changed since the previous pass. Polling the engagements endpoint on date_time and processing_state.
DeliveryEach detected change is applied to Greenplum as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Greenplum for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key-based cursors.
DeliveryEach detected change is written to Chorusai through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Chorusai–Greenplum connection.
Changes in Chorusai or Greenplum instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Chorusai or Greenplum data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Chorusai or Greenplum record.
Track your Chorusai ⇄ Greenplum sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Chorusai and Greenplum.
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 Chorusai and Greenplum 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 Chorusai and Greenplum 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 Chorusai and Greenplum: authenticate both systems, choose the objects to sync (such as Chorusai's Trackers and Deals), map fields visually, and changes propagate both ways in milliseconds — no code required.
Chorusai: REST API (api-docs.chorus.ai). Authentication: Per-user API token generated in Chorus Personal Settings, sent in the Authorization request header. Greenplum: PostgreSQL wire protocol (libpq), plus JDBC/ODBC drivers. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Chorusai: Chorus is part of ZoomInfo; API access requires a Chorus by ZoomInfo subscription with API tokens enabled for the workspace. Greenplum: Rows are distributed across segment hosts by a per-table distribution key; joins that co-locate on that key avoid cross-segment data motion. Stacksync's field mapping accounts for these differences between Chorusai and Greenplum 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 Chorusai and Greenplum records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Chorusai and Greenplum connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Chorusai–Greenplum integration in-house.
Yes — Stacksync ships production-grade connectors for both Chorusai and Greenplum. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 459 integrations available for Chorusai and Greenplum.