Real-time
Two-way sync
Changes in Actian Vector or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Actian Vector to TimescaleDB integration — real-time, two-way sync
Keep Actian Vector 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Actian Vector and TimescaleDB
Connect TimescaleDB and Actian Vector with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want TimescaleDB's rows in Actian Vector, 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 Actian Vector in real time, and result tables in Actian Vector sync back into TimescaleDB, with schema and type mapping between the two systems handled for you.
Common use cases
- Consolidate data from several source systems into one Vector database for BI dashboards.
- Load operational data from CRMs and ERPs into Actian Vector tables for analytical queries.
- Consolidate metrics from several services into one hypertable to serve a single reporting layer.
- Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
Offload heavy reads
Point analytical queries at the synced copy in Actian Vector and keep TimescaleDB focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from TimescaleDB land in Actian Vector as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Actian Vector sync into TimescaleDB, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Actian Vector and TimescaleDB
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.
| Actian Vector objects | TimescaleDB objects | |
|---|---|---|
| Views SQL views readable as query-backed sync sources. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Columns Typed columns mapped field-by-field during schema mapping. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Users and Roles Database principals used to grant the sync connection least-privilege access. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Databases Top-level containers targeted by a sync connection. | Views Standard SQL views used to shape or filter data for consumers. | |
| Schemas Namespaces used to organize synced tables. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Tables Columnar tables that serve as sync sources or destinations. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. |
What ships with Actian Vector ⇄ TimescaleDB
Connect Actian Vector and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Actian Vector–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Actian Vector or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Actian Vector or TimescaleDB record.
Observability
Monitoring
Track your Actian Vector ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Actian Vector and TimescaleDB.
How the Actian Vector and TimescaleDB connectors work
Actian Vector
- Integration surface
- SQL over JDBC/ODBC
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers
- Capabilities
- read · write
- Rate limits
- No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- 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
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Actian Vector to TimescaleDB — three steps, no code
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.
- 01
Connect your apps
Authenticate Actian Vector 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.
Actian Vector
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Actian Vector 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.
objects · Actian Vector ⇄ TimescaleDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Actian Vector TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Actian Vector and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Actian Vector and TimescaleDB: authenticate both systems, choose the objects to sync (such as Actian Vector's Views and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Actian Vector side: Schemas, Tables, Views, Columns, plus custom fields where Actian Vector exposes them. On the TimescaleDB side: Regular PostgreSQL Tables, Views, Schemas, Hypertables. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Actian Vector and TimescaleDB: 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 Actian Vector and keep TimescaleDB focused on its operational workload.
-
Actian Vector: SQL over JDBC/ODBC. Authentication: Database credentials. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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Actian Vector: Actian Vector is a columnar analytics database with vectorized query execution, so it is used as an analytical destination rather than a transactional source. TimescaleDB: Continuous aggregates materialize rollups incrementally instead of recomputing them on every query. Stacksync's field mapping accounts for these differences between Actian Vector and TimescaleDB without custom code.
SECURITY
Security teams love Stacksync
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.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Actian Vector and TimescaleDB.
Popular · 8 of 386
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Actian Vector ⇄ InterSystems IRIS -
Actian Vector ⇄ MarkLogic -
Actian Vector ⇄ Neo4j -
Actian Vector ⇄ OCI Database (Oracle Cloud) -
TimescaleDB ⇄ BigQuery -
TimescaleDB ⇄ MotherDuck -
TimescaleDB ⇄ Databricks -
TimescaleDB ⇄ AWS S3
No integrations match .
