Real-time
Two-way sync
Changes in Amazon Aurora or Teradata Vantage instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Amazon Aurora to Teradata Vantage integration — real-time, two-way sync
Keep Amazon Aurora 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.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Amazon Aurora and Teradata Vantage
Connect Amazon Aurora and Teradata Vantage 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 Aurora'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 Amazon Aurora 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 Aurora sync into Teradata Vantage in real time, and result tables in Teradata Vantage sync back into Amazon Aurora, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Activate warehouse data into operational tools on a schedule instead of manual exports
- 02 Sync curated Vantage tables into a CRM so frontline teams act on warehouse-computed customer attributes
- 03 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
- 04 Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from Amazon Aurora land in Teradata Vantage as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Teradata Vantage sync into Amazon Aurora, 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.
What you can sync between Amazon Aurora and Teradata Vantage
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.
| Amazon Aurora objects | Teradata Vantage objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical databases within a cluster that scope a sync connection. | Databases Hierarchical containers that own tables and space allocations. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables Relational tables synced bi-directionally at row level. | Tables The primary sync unit for both extraction and loading. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Read-only query-backed sources for downstream syncs. | Views The conventional access layer in Teradata shops; syncs often read views rather than base tables. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Users In Teradata, users are databases with a password, and they own objects and space. | Columns and Data Types is specific to Amazon Aurora and Users to Teradata Vantage — each maps to any object or custom field on the other side. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Columns Teradata SQL types mapped to the paired system's field types during sync. | Primary and Foreign Keys is specific to Amazon Aurora and Columns to Teradata Vantage — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Macros Stored parameterized SQL that encapsulates repeatable reads. | Read Replicas is specific to Amazon Aurora and Macros to Teradata Vantage — each maps to any object or custom field on the other side. |
How changes propagate between Amazon Aurora and Teradata Vantage
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.
Amazon Aurora Teradata Vantage Sub-second propagation
DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
DeliveryEach detected change is applied to Teradata Vantage as a row-level write, with types converted between the two schemas.
Teradata Vantage Amazon Aurora Interval-based propagation
DetectionStacksync polls Teradata Vantage for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling.
DeliveryEach detected change is applied to Amazon Aurora as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
- Teradata Vantage: Concurrency is governed by workload management rules on the system rather than API quotas.
What ships with Amazon Aurora ⇄ Teradata Vantage
Connect Amazon Aurora and Teradata Vantage for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Teradata Vantage connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon Aurora or Teradata Vantage 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 Amazon Aurora or Teradata Vantage record.
Observability
Monitoring
Track your Amazon Aurora ⇄ Teradata Vantage sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Teradata Vantage.
How the Amazon Aurora and Teradata Vantage connectors work
Amazon Aurora
- Integration surface
- MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
- Authentication
- Database credentials or IAM database authentication
- Change detection
- Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits
Teradata Vantage
- Integration surface
- ANSI SQL over JDBC/ODBC/.NET drivers; REST access available through Teradata's query service
- Authentication
- Database credentials; LDAP or Kerberos in enterprise deployments
- Change detection
- Query-based polling; the SQL surface exposes no externally consumable change log
- Capabilities
- read · write
- Rate limits
- Concurrency is governed by workload management rules on the system rather than API quotas
How it works
How to connect Amazon Aurora to Teradata Vantage — 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 Amazon Aurora 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.
Amazon Aurora
connected
Teradata Vantage
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon Aurora 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.
objects · Amazon Aurora ⇄ Teradata VantageCustomers 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.
Amazon Aurora Teradata VantageCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon Aurora and Teradata Vantage integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Amazon Aurora and Teradata Vantage: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database authentication. 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.
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Teradata Vantage: Bulk data movement is conventionally done through utilities such as Teradata Parallel Transporter rather than row-by-row inserts, which shapes how loads should be batched. Amazon Aurora: Change data capture uses the native engine mechanisms: MySQL binary log on Aurora MySQL and logical replication on Aurora PostgreSQL. Stacksync's field mapping accounts for these differences between Amazon Aurora and Teradata Vantage without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon Aurora and Teradata Vantage records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and Teradata Vantage connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Teradata Vantage integration in-house.
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Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Teradata Vantage. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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:
Related integrations
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