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Database

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

Keep Elasticsearch and Google AlloyDB 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 Elasticsearch and Google AlloyDB

Keep Elasticsearch and Google AlloyDB 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 Elasticsearch and Google AlloyDB 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

  • Feed enriched customer records into an index used for vector or hybrid search in AI applications.
  • Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
  • Migrate workloads from self-managed Postgres while keeping existing syncs pointed at a compatible endpoint.
  • Mirror CRM objects into AlloyDB tables so product and internal tools query customer data with plain SQL.

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.

Regional or environment copies

Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

What you can sync between Elasticsearch and Google AlloyDB

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.

Elasticsearch objects Google AlloyDB objects
Indices Target containers for synced records; each holds a table-like collection of JSON documents. Indexes Keep sync key lookups fast on high-volume tables.
Documents The unit of sync; JSON records created, updated, and deleted by _id. Sequences ID generation relevant when external systems insert rows.
Index mappings Field type definitions that determine how synced fields are indexed and queried. Replication Slots Logical replication artifacts that back log-based change capture.
Aliases Stable read/write names that let a sync cut over between index versions without downtime. Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to.
Data streams Append-only targets for time-series or event data pushed from source systems. Schemas Namespaces used to separate synced SaaS data from application tables.
Ingest pipelines Server-side transforms applied to documents as a sync writes them. Tables Primary read/write target for bi-directional sync with CRMs and other systems.
What ships with Elasticsearch ⇄ Google AlloyDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

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

Trading partners

EDI

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

How the Elasticsearch and Google AlloyDB connectors work

Elasticsearch

Integration surface
REST API (JSON over HTTP)
Authentication
API keys or basic authentication; Elastic Cloud also issues service account tokens
Change detection
Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
Capabilities
read · write
Rate limits
No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity

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
How it works

How to connect Elasticsearch to Google AlloyDB — 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 Elasticsearch and Google AlloyDB 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
    Elasticsearch connected
    Google AlloyDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Elasticsearch and Google AlloyDB 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 · Elasticsearch ⇄ Google AlloyDB
    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
    Elasticsearch Google AlloyDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Elasticsearch and Google AlloyDB 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.

Learn more about security
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:

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 386 integrations available for Elasticsearch and Google AlloyDB.

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