Two-way sync
Changes in DuckDB or Teradata Vantage instantly reflect in both systems. No stale data, no manual imports.
Keep DuckDB and Teradata Vantage 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 DuckDB's rows in Teradata Vantage, 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 DuckDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in DuckDB sync into Teradata Vantage in real time, and result tables in Teradata Vantage sync back into DuckDB, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Teradata Vantage and keep DuckDB focused on its operational workload.
Rows from DuckDB land in Teradata Vantage as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Teradata Vantage sync into DuckDB, 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.
| DuckDB objects | Teradata Vantage objects | |
|---|---|---|
| Views SQL views used to shape or filter data for downstream consumers. | Views The conventional access layer in Teradata shops; syncs often read views rather than base tables. | |
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Macros Stored parameterized SQL that encapsulates repeatable reads. | |
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | Stored procedures Server-side logic sometimes invoked as part of load workflows. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Users In Teradata, users are databases with a password, and they own objects and space. | |
| Schemas Namespaces within a database used to organize tables in sync outputs. | Columns Teradata SQL types mapped to the paired system's field types during sync. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | Databases Hierarchical containers that own tables and space allocations. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–Teradata Vantage connection.
Changes in DuckDB or Teradata Vantage instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DuckDB or Teradata Vantage data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single DuckDB or Teradata Vantage record.
Track your DuckDB ⇄ Teradata Vantage sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DuckDB and Teradata Vantage.
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 DuckDB and Teradata Vantage 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 DuckDB and Teradata Vantage 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 DuckDB and Teradata Vantage: authenticate both systems, choose the objects to sync (such as DuckDB's Views and External files (Parquet/CSV/JSON)), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Teradata Vantage side: Views, Macros, Stored procedures, Users, plus custom fields where Teradata Vantage exposes them. On the DuckDB side: Views, External files (Parquet/CSV/JSON), Attached databases, Database files. 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 DuckDB and Teradata Vantage: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Teradata Vantage and keep DuckDB focused on its operational workload.
DuckDB: In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default. Authentication: None built in; access control is file-system level (MotherDuck adds token auth for its hosted service). Teradata Vantage: ANSI SQL over JDBC/ODBC/.NET drivers; REST access available through Teradata's query service. Authentication: Database credentials; LDAP or Kerberos in enterprise deployments. Stacksync manages authentication, retries, and rate limits on both sides.
Teradata Vantage: Databases and users are the same object class in Teradata's hierarchy, each with its own permanent space allocation. DuckDB: Execution is columnar and vectorized, optimized for analytical scans rather than high-frequency transactional writes. Stacksync's field mapping accounts for these differences between DuckDB and Teradata Vantage 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 DuckDB and Teradata Vantage.