Real-time
Two-way sync
Changes in AWS Aurora MySQL or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Database
AWS Aurora MySQL to VoltDB integration — real-time, two-way sync
Keep AWS Aurora MySQL 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
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Why teams connect AWS Aurora MySQL and VoltDB
Keep AWS Aurora MySQL 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 MySQL 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
- Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
- Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
- 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.
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.
Cross-engine sync
Keep the same dataset live in both AWS Aurora MySQL and VoltDB, so each workload runs on the engine that suits it.
What you can sync between AWS Aurora MySQL 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 MySQL objects | VoltDB objects | |
|---|---|---|
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Streams Insert-only constructs that feed the export subsystem with committed rows. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Stored Procedures Precompiled transactional units that serve as the primary write interface. |
What ships with AWS Aurora MySQL ⇄ VoltDB
Connect AWS Aurora MySQL and VoltDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–VoltDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL 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 MySQL or VoltDB record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ 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 MySQL and VoltDB.
How the AWS Aurora MySQL and VoltDB connectors work
AWS Aurora MySQL
- Integration surface
- SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 MySQL 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 MySQL 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 MySQL
connected
VoltDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL 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 MySQL ⇄ 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 MySQL VoltDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and VoltDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and VoltDB: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Stored procedures and triggers and Databases (schemas)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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AWS Aurora MySQL: Read replicas share the cluster storage volume, letting syncs read from a replica endpoint without adding load to the writer. 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 MySQL 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 MySQL 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 MySQL and VoltDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–VoltDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL 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 MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 MySQL and VoltDB.
Popular · 8 of 386
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AWS Aurora MySQL ⇄ Airtable - AWS Aurora MySQL ⇄ AWS Aurora PostgreSQL
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AWS Aurora MySQL ⇄ MongoDB -
AWS Aurora MySQL ⇄ CockroachDB -
VoltDB ⇄ Dynamo DB -
VoltDB ⇄ IBM Db2 -
VoltDB ⇄ Firebase -
VoltDB ⇄ SingleStore
No integrations match .
