Two-way sync
Changes in Vertica or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Keep Vertica and Yellowbrick 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 Vertica and Yellowbrick 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.
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.
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
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.
| Vertica objects | Yellowbrick objects | |
|---|---|---|
| Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | |
| External Tables Data queried in place on files or object storage without loading. | Views Logical views used to shape reads for BI and downstream syncs. | |
| Schemas Namespaces used to organize synced datasets by domain or source. | Users and Roles Access-control objects that govern what a sync service account can read and write. | |
| Tables Columnar tables; the primary read and write targets for syncs. | Databases Top-level containers for schemas and tables. | |
| Projections Sorted, encoded physical copies of table data that the optimizer selects at query time; they affect load and query behavior rather than being addressed directly. | Schemas Namespaces used to organize synced datasets by source or domain. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Vertica–Yellowbrick connection.
Changes in Vertica or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Vertica or Yellowbrick data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Vertica or Yellowbrick record.
Track your Vertica ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Vertica and Yellowbrick.
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 Vertica and Yellowbrick 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 Vertica and Yellowbrick 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 Vertica and Yellowbrick: authenticate both systems, choose the objects to sync (such as Vertica's Flex Tables and External Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Vertica: Eon mode separates compute from communal object storage, letting subclusters scale independently of the data. Yellowbrick: The front end is PostgreSQL-compatible, so standard Postgres drivers and SQL tooling connect without custom clients. Stacksync's field mapping accounts for these differences between Vertica and Yellowbrick 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 Vertica and Yellowbrick records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Vertica and Yellowbrick connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Vertica–Yellowbrick integration in-house.
Yes — Stacksync ships production-grade connectors for both Vertica and Yellowbrick. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Vertica: No exposed transaction-log CDC; polling on timestamp or epoch columns. On Yellowbrick: Polling on timestamp columns; no exposed transaction-log CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Vertica and Yellowbrick.