Two-way sync
Changes in Amazon RDS or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and OpenSearch 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 RDS and OpenSearch 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.
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.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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 RDS objects | OpenSearch objects | |
|---|---|---|
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | Data streams Append-oriented time-series storage for logs and events pushed from source systems | |
| Schemas Namespaces within a database used to isolate synced tables. | Snapshots Backup artifacts, relevant when reseeding an index from a repository | |
| Tables The core sync target; rows map to records in connected SaaS systems. | Indexes The core container; synced records land in indexes with defined mappings | |
| Views Read-side projections exposed to outbound syncs. | Documents JSON records written via the index and bulk APIs and read via search queries | |
| Columns Field-level mapping targets, typed per the underlying engine. | Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | |
| Primary and Unique Keys Match keys for idempotent upserts. | Index templates Mapping and settings presets applied to new indexes a sync creates |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–OpenSearch connection.
Changes in Amazon RDS or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or OpenSearch 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 RDS or OpenSearch record.
Track your Amazon RDS ⇄ OpenSearch sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and OpenSearch.
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 RDS and OpenSearch 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 RDS and OpenSearch 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 RDS and OpenSearch: authenticate both systems, choose the objects to sync (such as Amazon RDS's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback. On OpenSearch: No native change feed; reads rely on queries with scroll or point-in-time polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon RDS side: Read Replicas, Stored Procedures, Databases, Schemas, plus custom fields where Amazon RDS exposes them. On the OpenSearch side: Indexes, Documents, Index aliases, Index templates. 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 RDS and OpenSearch: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. OpenSearch: REST API over HTTP(S) with JSON payloads. Authentication: Basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service. 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 RDS and OpenSearch.