Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Database
AWS Aurora PostgreSQL to VoltDB integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL and VoltDB 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
Case study
Migrated from Celigo
Why teams connect AWS Aurora PostgreSQL and VoltDB
Keep AWS Aurora PostgreSQL and VoltDB synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between AWS Aurora PostgreSQL and VoltDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- Sync JSONB-heavy application data into structured objects in downstream business systems.
- Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
- Sync customer or account reference data from a CRM into VoltDB replicated tables for in-transaction lookups such as fraud or policy checks.
- Stream committed VoltDB results out through export targets into a warehouse for historical analysis.
Cross-engine sync
Keep the same dataset live in both AWS Aurora PostgreSQL and VoltDB, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
What you can sync between AWS Aurora PostgreSQL and VoltDB
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.
| AWS Aurora PostgreSQL objects | VoltDB objects | |
|---|---|---|
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Streams Insert-only constructs that feed the export subsystem with committed rows. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Stored Procedures Precompiled transactional units that serve as the primary write interface. |
What ships with AWS Aurora PostgreSQL ⇄ VoltDB
Connect AWS Aurora PostgreSQL and VoltDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–VoltDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL or VoltDB 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 AWS Aurora PostgreSQL or VoltDB record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ VoltDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and VoltDB.
How the AWS Aurora PostgreSQL and VoltDB connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
VoltDB
- Integration surface
- SQL over JDBC plus native client libraries and an HTTP/JSON interface
- Authentication
- Database credentials
- Change detection
- Export streams and topics push committed changes to configured targets; otherwise polling
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by partition count and cluster sizing.
How it works
How to connect AWS Aurora PostgreSQL to VoltDB — 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 AWS Aurora PostgreSQL and VoltDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
AWS Aurora PostgreSQL
connected
VoltDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL and VoltDB 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 · AWS Aurora PostgreSQL ⇄ VoltDBCustomers 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.
AWS Aurora PostgreSQL VoltDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and VoltDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and VoltDB: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Foreign keys and Replication slots and publications), map fields visually, and changes propagate both ways in milliseconds — no code required.
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AWS Aurora PostgreSQL: Replication slots retain WAL for their consumers, so an interrupted CDC sync can resume without losing changes. VoltDB: Transactions execute as stored procedures run serially within each partition, which removes locking for single-partition work. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and VoltDB 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 AWS Aurora PostgreSQL and VoltDB 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 AWS Aurora PostgreSQL and VoltDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–VoltDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and VoltDB. 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 AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On VoltDB: Export streams and topics push committed changes to configured targets; otherwise polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 AWS Aurora PostgreSQL and VoltDB.
Popular · 8 of 386
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AWS Aurora PostgreSQL ⇄ Elasticsearch -
AWS Aurora PostgreSQL ⇄ Google Cloud Spanner - AWS Aurora PostgreSQL ⇄ Google Cloud SQL
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AWS Aurora PostgreSQL ⇄ IBM AS/400 -
VoltDB ⇄ Postgres Heroku -
VoltDB ⇄ Airtable - VoltDB ⇄ AWS Aurora MySQL
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VoltDB ⇄ MongoDB
No integrations match .
