Two-way sync
Changes in Starburst Enterprise or Vertica instantly reflect in both systems. No stale data, no manual imports.
Keep Starburst Enterprise 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.
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 Starburst Enterprise and Vertica 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.
| Starburst Enterprise objects | Vertica objects | |
|---|---|---|
| Materialized views Precomputed results that make repeated sync reads cheaper. | Views Logical views used to shape reads for downstream consumers. | |
| Columns Typed per the Trino type system, mapped from each source's native types. | Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. | |
| Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. | External Tables Data queried in place on files or object storage without loading. | |
| Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | Schemas Namespaces used to organize synced datasets by domain or source. | |
| Tables Queryable relations; writes pass through to sources whose connectors support them. | Tables Columnar tables; the primary read and write targets for syncs. | |
| Views Engine-level SQL views used to shape federated data before syncing it out. | 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. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Starburst Enterprise–Vertica connection.
Changes in Starburst Enterprise or Vertica instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Starburst Enterprise 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 Starburst Enterprise or Vertica record.
Track your Starburst Enterprise ⇄ Vertica sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Starburst Enterprise 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 Starburst Enterprise 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 Starburst Enterprise 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 Starburst Enterprise and Vertica: authenticate both systems, choose the objects to sync (such as Starburst Enterprise's Materialized views and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Starburst Enterprise side: Tables, Views, Materialized views, Columns, plus custom fields where Starburst Enterprise exposes them. On the Vertica side: Projections, Views, Flex Tables, External Tables. 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 Starburst Enterprise and Vertica: 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.
Starburst Enterprise: ANSI SQL over JDBC/ODBC drivers and the Trino client REST protocol. Authentication: Deployment-dependent: username/password, LDAP, OAuth 2.0, or Kerberos. Vertica: SQL over JDBC, ODBC, and ADO.NET drivers. Authentication: Database credentials, with LDAP, Kerberos, and OAuth options in enterprise deployments. Stacksync manages authentication, retries, and rate limits on both sides.
Starburst Enterprise: A single SQL statement can join tables across catalogs, meaning one query can span several distinct backend systems. Vertica: Vertica organizes storage as projections rather than indexes: each table has one or more sorted, compressed physical copies the optimizer chooses among. Stacksync's field mapping accounts for these differences between Starburst Enterprise and Vertica without custom code.
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 Starburst Enterprise and Vertica.