Two-way sync
Changes in Teradata Vantage or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Teradata Vantage and TimescaleDB 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 TimescaleDB'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 TimescaleDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in TimescaleDB sync into Teradata Vantage in real time, and result tables in Teradata Vantage sync back into TimescaleDB, with schema and type mapping between the two systems handled for you.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Teradata Vantage and keep TimescaleDB focused on its operational workload.
Rows from TimescaleDB land in Teradata Vantage as they change, replacing hand-built CDC and batch extract jobs.
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.
| Teradata Vantage objects | TimescaleDB objects | |
|---|---|---|
| Macros Stored parameterized SQL that encapsulates repeatable reads. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Stored procedures Server-side logic sometimes invoked as part of load workflows. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Users In Teradata, users are databases with a password, and they own objects and space. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Columns Teradata SQL types mapped to the paired system's field types during sync. | Views Standard SQL views used to shape or filter data for consumers. | |
| Databases Hierarchical containers that own tables and space allocations. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Tables The primary sync unit for both extraction and loading. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Teradata Vantage–TimescaleDB connection.
Changes in Teradata Vantage or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Teradata Vantage or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Teradata Vantage or TimescaleDB record.
Track your Teradata Vantage ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Teradata Vantage and TimescaleDB.
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 Teradata Vantage and TimescaleDB 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 Teradata Vantage and TimescaleDB 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 Teradata Vantage and TimescaleDB: authenticate both systems, choose the objects to sync (such as Teradata Vantage's Macros and Stored procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Teradata Vantage: Query-based polling; the SQL surface exposes no externally consumable change log. On TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Teradata Vantage side: Columns, Databases, Tables, Views, plus custom fields where Teradata Vantage exposes them. On the TimescaleDB side: Chunks, Continuous Aggregates, Regular PostgreSQL Tables, Views. 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 Teradata Vantage and TimescaleDB: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. 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 Teradata Vantage and TimescaleDB.