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Google AlloyDB to OpenSearch integration — real-time, two-way sync

Keep Google AlloyDB 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.

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

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Why teams connect Google AlloyDB and OpenSearch

Keep Google AlloyDB and OpenSearch 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 Google AlloyDB 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.

Common use cases

  • 01 Use logical replication to feed AlloyDB changes into warehouses or event pipelines without batch jobs.
  • 02 Consolidate SaaS data into AlloyDB and serve analytics from its columnar engine without a separate OLAP store.
  • 03 Index support tickets and activity logs from SaaS tools for operational dashboards.
  • 04 Backfill or rebuild indexes from a database after mapping changes without hand-written ETL.

Common sync patterns

Cross-engine sync

Keep the same dataset live in both Google AlloyDB and OpenSearch, so each workload runs on the engine that suits it.

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.

What you can sync between Google AlloyDB and OpenSearch

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.

Google AlloyDB objects OpenSearch objects How this pairing syncs
Indexes Keep sync key lookups fast on high-volume tables. Indexes The core container; synced records land in indexes with defined mappings Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Sequences ID generation relevant when external systems insert rows. Documents JSON records written via the index and bulk APIs and read via search queries Sequences is specific to Google AlloyDB and Documents to OpenSearch — each maps to any object or custom field on the other side.
Replication Slots Logical replication artifacts that back log-based change capture. Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills Replication Slots is specific to Google AlloyDB and Index aliases to OpenSearch — each maps to any object or custom field on the other side.
Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. Index templates Mapping and settings presets applied to new indexes a sync creates Databases is specific to Google AlloyDB and Index templates to OpenSearch — each maps to any object or custom field on the other side.
Schemas Namespaces used to separate synced SaaS data from application tables. Ingest pipelines Server-side processors that transform documents as they are written Schemas is specific to Google AlloyDB and Ingest pipelines to OpenSearch — each maps to any object or custom field on the other side.
Tables Primary read/write target for bi-directional sync with CRMs and other systems. Data streams Append-oriented time-series storage for logs and events pushed from source systems Tables is specific to Google AlloyDB and Data streams to OpenSearch — each maps to any object or custom field on the other side.

How changes propagate between Google AlloyDB and OpenSearch

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.

Google AlloyDB OpenSearch Sub-second propagation

DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.

DeliveryEach detected change is written to OpenSearch through its API, with automatic retries and rate-limit backoff.

OpenSearch Google AlloyDB Interval-based propagation

DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

DeliveryEach detected change is applied to Google AlloyDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Google AlloyDB: No API-style rate limits; throughput is bounded by instance size.
  • OpenSearch: Throughput bounded by cluster sizing rather than fixed API quotas.
What ships with Google AlloyDB ⇄ OpenSearch

Connect Google AlloyDB and OpenSearch for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google AlloyDB–OpenSearch connection.

Real-time

Two-way sync

Changes in Google AlloyDB or OpenSearch instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google AlloyDB or OpenSearch 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 Google AlloyDB or OpenSearch record.

Observability

Monitoring

Track your Google AlloyDB ⇄ OpenSearch sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google AlloyDB and OpenSearch.

How the Google AlloyDB and OpenSearch connectors work

Google AlloyDB

Integration surface
SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback
Capabilities
read · write · CDC
Rate limits
No API-style rate limits; throughput is bounded by instance size

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
How it works

How to connect Google AlloyDB to OpenSearch — 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 Google AlloyDB 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Google AlloyDB connected
    OpenSearch connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google AlloyDB 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Google AlloyDB ⇄ OpenSearch
    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
    Google AlloyDB OpenSearch
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google AlloyDB and OpenSearch 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
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 367 integrations available for Google AlloyDB and OpenSearch.

Popular · 6 of 367
All Google AlloyDB integrations All OpenSearch integrations Browse all integrations
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