Real-time
Two-way sync
Changes in OpenSearch or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Database
OpenSearch to PostgreSQL integration — real-time, two-way sync
Keep OpenSearch and 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.
- 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 Fivetran
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Migrated from Celigo
Why teams connect OpenSearch and PostgreSQL
Keep OpenSearch and PostgreSQL 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 OpenSearch and 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.
Common use cases
- Keep Postgres as the source of truth while mirroring rows to OpenSearch for full-text and vector queries.
- Index support tickets and activity logs from SaaS tools for operational dashboards.
- Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
- Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
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 OpenSearch and PostgreSQL, so each workload runs on the engine that suits it.
What you can sync between OpenSearch and PostgreSQL
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.
| OpenSearch objects | PostgreSQL objects | |
|---|---|---|
| Snapshots Backup artifacts, relevant when reseeding an index from a repository | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | |
| Indexes The core container; synced records land in indexes with defined mappings | Views Read-side projections used to expose joined or filtered data to a sync. | |
| Documents JSON records written via the index and bulk APIs and read via search queries | Materialized Views Precomputed result sets synced outward on a refresh schedule. | |
| Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Index templates Mapping and settings presets applied to new indexes a sync creates | Columns Field-level mapping targets; types are mapped to the connected system's field types. | |
| Ingest pipelines Server-side processors that transform documents as they are written | Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. |
What ships with OpenSearch ⇄ PostgreSQL
Connect OpenSearch and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every OpenSearch–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever OpenSearch or PostgreSQL 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 OpenSearch or PostgreSQL record.
Observability
Monitoring
Track your OpenSearch ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between OpenSearch and PostgreSQL.
How the OpenSearch and PostgreSQL connectors work
OpenSearch
- Integration surface
- REST API over HTTP(S) with JSON payloads
- Authentication
- basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
- Change detection
- no native change feed; reads rely on queries with scroll or point-in-time polling
- Capabilities
- read · write
- Rate limits
- throughput bounded by cluster sizing rather than fixed API quotas
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
How it works
How to connect OpenSearch to PostgreSQL — 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 OpenSearch and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
OpenSearch
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the OpenSearch and 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.
objects · OpenSearch ⇄ PostgreSQLCustomers 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.
OpenSearch PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
OpenSearch and PostgreSQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between OpenSearch and PostgreSQL: authenticate both systems, choose the objects to sync (such as OpenSearch's Snapshots and Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the OpenSearch side: Index templates, Ingest pipelines, Data streams, Snapshots, plus custom fields where OpenSearch exposes them. On the PostgreSQL side: Primary and Unique Keys, JSONB Columns, Sequences, Custom Types and Enums. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for OpenSearch and PostgreSQL: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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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. PostgreSQL: SQL wire protocol (PostgreSQL frontend/backend protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. Stacksync manages authentication, retries, and rate limits on both sides.
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OpenSearch: The bulk API accepts many index, update, and delete operations per request, which is how large indexes are kept current. PostgreSQL: Logical decoding of the write-ahead log (wal_level=logical) provides row-level change capture without adding triggers to user tables. Stacksync's field mapping accounts for these differences between OpenSearch and PostgreSQL without custom code.
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 OpenSearch and PostgreSQL.
Popular · 8 of 386
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OpenSearch ⇄ MongoDB -
OpenSearch ⇄ CockroachDB -
OpenSearch ⇄ Google AlloyDB -
OpenSearch ⇄ Dynamo DB -
PostgreSQL ⇄ Oracle DB -
PostgreSQL ⇄ RavenDB -
PostgreSQL ⇄ Redis Enterprise -
PostgreSQL ⇄ SAP ASE (Sybase)
No integrations match .
