Real-time
Two-way sync
Changes in Actian Vector or Amazon RDS instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Actian Vector to Amazon RDS integration — real-time, two-way sync
Keep Actian Vector and Amazon RDS 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
Case study
Migrated from MuleSoft
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Migrated from Celigo
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Actian Vector and Amazon RDS
Connect Amazon RDS 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 Amazon RDS'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 Amazon RDS where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Amazon RDS sync into Actian Vector in real time, and result tables in Actian Vector sync back into Amazon RDS, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Consolidate data from several source systems into one Vector database for BI dashboards.
- 02 Load operational data from CRMs and ERPs into Actian Vector tables for analytical queries.
- 03 Mirror SaaS objects into RDS tables so product features can join business data with application data in one query
- 04 Keep an RDS reporting database hydrated from operational tools without maintaining ETL jobs
Common sync patterns
Serve warehouse results at database speed
Aggregates or model outputs computed in Actian Vector sync into Amazon RDS, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Actian Vector and keep Amazon RDS focused on its operational workload.
What you can sync between Actian Vector and Amazon RDS
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 | Amazon RDS objects | How this pairing syncs | |
|---|---|---|---|
| Databases Top-level containers targeted by a sync connection. | Databases Engine-level databases on the instance that scope a sync's reads and writes. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Namespaces used to organize synced tables. | Schemas Namespaces within a database used to isolate synced tables. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables Columnar tables that serve as sync sources or destinations. | Tables The core sync target; rows map to records in connected SaaS systems. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views SQL views readable as query-backed sync sources. | Views Read-side projections exposed to outbound syncs. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Columns Typed columns mapped field-by-field during schema mapping. | Columns Field-level mapping targets, typed per the underlying engine. | Columns is specific to Actian Vector and Columns to Amazon RDS — each maps to any object or custom field on the other side. | |
| Users and Roles Database principals used to grant the sync connection least-privilege access. | Primary and Unique Keys Match keys for idempotent upserts. | Users and Roles is specific to Actian Vector and Primary and Unique Keys to Amazon RDS — each maps to any object or custom field on the other side. |
How changes propagate between Actian Vector and Amazon RDS
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Actian Vector Amazon RDS Interval-based propagation
DetectionStacksync polls Actian Vector for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.
DeliveryEach detected change is applied to Amazon RDS as a row-level write, with types converted between the two schemas.
Amazon RDS Actian Vector Sub-second propagation
DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryEach detected change is applied to Actian Vector as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Actian Vector: No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency.
- Amazon RDS: No API rate limits; throughput depends on instance class, storage IOPS, and connection limits.
What ships with Actian Vector ⇄ Amazon RDS
Connect Actian Vector and Amazon RDS for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Actian Vector–Amazon RDS connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Actian Vector or Amazon RDS 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 Amazon RDS record.
Observability
Monitoring
Track your Actian Vector ⇄ Amazon RDS 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 Amazon RDS.
How the Actian Vector and Amazon RDS 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
Amazon RDS
- Integration surface
- SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
- Authentication
- Database credentials over SSL/TLS, or IAM database authentication on supported engines
- Change detection
- Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput depends on instance class, storage IOPS, and connection limits
How it works
How to connect Actian Vector to Amazon RDS — 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 Amazon RDS 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
Amazon RDS
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Actian Vector and Amazon RDS 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 ⇄ Amazon RDSCustomers 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 Amazon RDSCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Actian Vector and Amazon RDS integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Actian Vector and Amazon RDS: authenticate both systems, choose the objects to sync (such as Actian Vector's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Actian Vector and Amazon RDS. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Actian Vector: Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers. On Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Actian Vector side: Databases, Schemas, Tables, Views, plus custom fields where Actian Vector exposes them. On the Amazon RDS side: Views, Columns, Primary and Unique Keys, Read Replicas. 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.
-
Common patterns for Actian Vector and Amazon RDS: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Actian Vector sync into Amazon RDS, where whatever reads from that database gets them without querying the warehouse.
SECURITY
Security teams trust 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
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:
