Two-way sync
Changes in Postgres Heroku or Vertica instantly reflect in both systems. No stale data, no manual imports.
Keep Postgres Heroku and Vertica in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Postgres Heroku's rows in Vertica, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Postgres Heroku where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Postgres Heroku sync into Vertica in real time, and result tables in Vertica sync back into Postgres Heroku, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Vertica and keep Postgres Heroku focused on its operational workload.
Rows from Postgres Heroku land in Vertica as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Vertica sync into Postgres Heroku, where whatever reads from that database gets them without querying the warehouse.
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.
| Postgres Heroku objects | Vertica objects | |
|---|---|---|
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | External Tables Data queried in place on files or object storage without loading. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Schemas Namespaces used to organize synced datasets by domain or source. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Tables Columnar tables; the primary read and write targets for syncs. | |
| Tables Standard Postgres tables; the primary two-way sync target for app data. | 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. | |
| Views Read-side projections exposed to outbound syncs. | Views Logical views used to shape reads for downstream consumers. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Vertica connection.
Changes in Postgres Heroku or Vertica instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Postgres Heroku or Vertica data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Postgres Heroku or Vertica record.
Track your Postgres Heroku ⇄ Vertica sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Vertica.
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 Postgres Heroku and Vertica 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 Postgres Heroku and Vertica 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 Postgres Heroku and Vertica: authenticate both systems, choose the objects to sync (such as Postgres Heroku's JSONB Columns and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
Vertica: Bulk loading through the COPY statement is the intended high-volume write path; frequent small inserts are comparatively expensive. Postgres Heroku: All connections require SSL, and server-level settings such as replication configuration are controlled by Heroku rather than the user. Stacksync's field mapping accounts for these differences between Postgres Heroku and Vertica 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 Postgres Heroku and Vertica records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Postgres Heroku and Vertica connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–Vertica integration in-house.
Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Vertica. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. On Vertica: No exposed transaction-log CDC; polling on timestamp or epoch columns. 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 Postgres Heroku and Vertica.