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Data warehouse ⇄ Database

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

Keep Google Cloud Platform 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.

  • 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 Google Cloud Platform and OpenSearch

Connect OpenSearch and Google Cloud Platform with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want OpenSearch's rows in Google Cloud Platform, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in OpenSearch where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in OpenSearch sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into OpenSearch, with schema and type mapping between the two systems handled for you.

Common use cases

  • Publish change events to Pub/Sub so downstream services react to record updates as they happen.
  • Sync product catalogs from an ERP or database into the indexes that back storefront search.
  • Keep Postgres as the source of truth while mirroring rows to OpenSearch for full-text and vector queries.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

Offload heavy reads

Point analytical queries at the synced copy in Google Cloud Platform and keep OpenSearch focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from OpenSearch land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between Google Cloud Platform 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 Cloud Platform objects OpenSearch objects
Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Ingest pipelines Server-side processors that transform documents as they are written
Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Data streams Append-oriented time-series storage for logs and events pushed from source systems
Pub/Sub topics Event streams used to move change events between systems in near real time. Snapshots Backup artifacts, relevant when reseeding an index from a repository
Firestore documents Document data read and written through the Firestore API for app-facing syncs. Indexes The core container; synced records land in indexes with defined mappings
Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Documents JSON records written via the index and bulk APIs and read via search queries
BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills
What ships with Google Cloud Platform ⇄ OpenSearch

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud Platform 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 Cloud Platform or OpenSearch record.

Observability

Monitoring

Track your Google Cloud Platform ⇄ 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 Cloud Platform and OpenSearch.

How the Google Cloud Platform and OpenSearch connectors work

Google Cloud Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits

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 Cloud Platform 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 Cloud Platform 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 Cloud Platform connected
    OpenSearch connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud Platform 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 Cloud Platform ⇄ 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 Cloud Platform OpenSearch
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Google Cloud Platform and OpenSearch integration FAQ

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 Google Cloud Platform and OpenSearch.

Popular · 8 of 386
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