Two-way sync
Changes in Greenplum or Rockset instantly reflect in both systems. No stale data, no manual imports.
Keep Greenplum and Rockset in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.
Stacksync syncs tables between Greenplum and Rockset continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.
Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
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.
| Greenplum objects | Rockset objects | |
|---|---|---|
| Rows Read and written by key; distribution keys determine where rows live. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | |
| Databases Top-level containers that scope a sync connection. | Aliases Stable names that point at collections, used to swap datasets without changing queries. | |
| Schemas Namespace tables and control which objects a sync can see. | Integrations Managed source connections (databases, streams, object storage) feeding collections. | |
| Tables Heap or append-optimized tables mapped directly to sync targets. | Virtual Instances Isolated compute units that separate ingest from query workloads. | |
| Partitions Large tables are commonly partitioned by date, which shapes incremental reads. | Collections Schemaless document containers that ingested and synced records land in. | |
| Views Read-only projections used to shape data before syncing it out. | Documents JSON records addressable by _id, written via the Write API in sync pipelines. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenplum–Rockset connection.
Changes in Greenplum or Rockset instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Greenplum or Rockset data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Greenplum or Rockset record.
Track your Greenplum ⇄ Rockset sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Greenplum and Rockset.
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 Greenplum and Rockset 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 Greenplum and Rockset 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 Greenplum and Rockset: authenticate both systems, choose the objects to sync (such as Greenplum's Rows and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Greenplum: Polling with timestamp or key-based cursors; Greenplum does not expose logical-decoding CDC. On Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Greenplum side: Partitions, Views, External tables, Rows, plus custom fields where Greenplum exposes them. On the Rockset side: Virtual Instances, Collections, Documents, Workspaces. 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 Greenplum and Rockset: Serve tools that only connect to one platform; Shared datasets across teams; Consolidation after M&A. Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
Greenplum: PostgreSQL wire protocol (libpq), plus JDBC/ODBC drivers. Authentication: Database credentials. Rockset: REST API (SQL over HTTP, plus a document Write API). Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
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 386 integrations available for Greenplum and Rockset.