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Amazon Aurora to VoltDB integration — real-time, two-way sync

Keep Amazon Aurora 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon Aurora and VoltDB

Keep Amazon Aurora 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 Amazon Aurora 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

  • 01 Consolidate several Aurora clusters into one reporting database.
  • 02 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • 03 Keep product, plan, or entitlement state consistent between VoltDB and back-office systems.
  • 04 Push aggregates from VoltDB materialized views into dashboards or operational tools.

Common sync patterns

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.

Regional or environment copies

Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

What you can sync between Amazon Aurora 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.

Amazon Aurora objects VoltDB objects How this pairing syncs
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. 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. Stored Procedures Precompiled transactional units that serve as the primary write interface. Views is specific to Amazon Aurora and Stored Procedures to VoltDB — each maps to any object or custom field on the other side.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Streams Insert-only constructs that feed the export subsystem with committed rows. Columns and Data Types is specific to Amazon Aurora and Streams to VoltDB — 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. Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. Primary and Foreign Keys is specific to Amazon Aurora and Export Targets and Topics to VoltDB — 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. Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. Read Replicas is specific to Amazon Aurora and Partitioned Tables to VoltDB — each maps to any object or custom field on the other side.
Databases Logical databases within a cluster that scope a sync connection. Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. Databases is specific to Amazon Aurora and Replicated Tables to VoltDB — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and VoltDB

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 VoltDB 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 VoltDB as a row-level write, with types converted between the two schemas.

VoltDB Amazon Aurora Interval-based propagation

DetectionStacksync polls VoltDB for changes on an incremental schedule, reading only records changed since the previous pass. Export streams and topics push committed changes to configured targets.

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.
  • VoltDB: No API rate limits; throughput is bounded by partition count and cluster sizing.
What ships with Amazon Aurora ⇄ VoltDB

Connect Amazon Aurora and VoltDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–VoltDB connection.

Real-time

Two-way sync

Changes in Amazon Aurora or VoltDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or VoltDB record.

Observability

Monitoring

Track your Amazon Aurora ⇄ VoltDB 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 VoltDB.

How the Amazon Aurora and VoltDB 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

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 Amazon Aurora 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.

  1. 01

    Connect your apps

    Authenticate Amazon Aurora 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon Aurora connected
    VoltDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon Aurora ⇄ VoltDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon Aurora VoltDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and VoltDB integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 392 integrations available for Amazon Aurora and VoltDB.

Popular · 8 of 392
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