Two-way sync
Changes in Amazon Lightsail or AWS Aurora PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Lightsail and AWS Aurora PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Lightsail and AWS Aurora PostgreSQL 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.
Keep the same dataset live in both Amazon Lightsail and AWS Aurora PostgreSQL, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 Lightsail objects | AWS Aurora PostgreSQL objects | |
|---|---|---|
| Managed Databases Lightsail-hosted MySQL or PostgreSQL instances that a sync connects to as standard databases. | Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | |
| Databases Logical databases on the instance that scope a connection. | Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | |
| Schemas Namespaces used when selecting tables to sync. | Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | |
| Tables Relational tables read from and written to at row level. | Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | |
| Views Query-backed read-only sources. | Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | |
| Users and Grants Database accounts used to give the sync connection scoped access. | Replication slots and publications The logical replication objects that power log-based CDC. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Lightsail–AWS Aurora PostgreSQL connection.
Changes in Amazon Lightsail or AWS Aurora PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Lightsail or AWS Aurora PostgreSQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Lightsail or AWS Aurora PostgreSQL record.
Track your Amazon Lightsail ⇄ AWS Aurora PostgreSQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Lightsail and AWS Aurora PostgreSQL.
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.
Authenticate Amazon Lightsail and AWS Aurora PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Amazon Lightsail and AWS Aurora PostgreSQL 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon Lightsail and AWS Aurora PostgreSQL: authenticate both systems, choose the objects to sync (such as Amazon Lightsail's Managed Databases and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Amazon Lightsail: Polling on timestamp or key columns; log-based CDC depends on engine parameter access, which is more limited than on full RDS. On AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Lightsail side: Tables, Views, Users and Grants, Managed Databases, plus custom fields where Amazon Lightsail exposes them. On the AWS Aurora PostgreSQL side: Tables, Rows, Columns, Primary keys and constraints. Stacksync auto-detects both schemas and converts types between the two systems.
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 Amazon Lightsail and AWS Aurora PostgreSQL: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Amazon Lightsail and AWS Aurora PostgreSQL, so each workload runs on the engine that suits it.
Amazon Lightsail: MySQL or PostgreSQL wire protocol (SQL) to the managed database endpoint. Authentication: Database credentials; public endpoint access must be enabled or a tunnel used. AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Amazon Lightsail and AWS Aurora PostgreSQL.