Real-time
Two-way sync
Changes in Citus or Google AlloyDB instantly reflect in both systems. No stale data, no manual imports.
Database
Citus to Google AlloyDB integration — real-time, two-way sync
Keep Citus 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Citus and Google AlloyDB
Keep Citus 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 Citus 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
- Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.
- Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
- Consolidate SaaS data into AlloyDB and serve analytics from its columnar engine without a separate OLAP store.
- Migrate workloads from self-managed Postgres while keeping existing syncs pointed at a compatible endpoint.
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 Citus and Google AlloyDB, so each workload runs on the engine that suits it.
What you can sync between Citus 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.
| Citus objects | Google AlloyDB objects | |
|---|---|---|
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Schemas Namespaces used to separate synced SaaS data from application tables. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Tables Primary read/write target for bi-directional sync with CRMs and other systems. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Views Curated projections used as read-only sync sources. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Indexes Keep sync key lookups fast on high-volume tables. |
What ships with Citus ⇄ Google AlloyDB
Connect Citus and Google AlloyDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Google AlloyDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus 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 Citus or Google AlloyDB record.
Observability
Monitoring
Track your Citus ⇄ 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 Citus and Google AlloyDB.
How the Citus and Google AlloyDB connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
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 Citus 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.
- 01
Connect your apps
Authenticate Citus 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.
Citus
connected
Google AlloyDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus 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.
objects · Citus ⇄ Google AlloyDBCustomers 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.
Citus Google AlloyDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and Google AlloyDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Citus and Google AlloyDB: authenticate both systems, choose the objects to sync (such as Citus's Schemas and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Common patterns for Citus and Google AlloyDB: 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.
-
Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). Google AlloyDB: SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP. Authentication: Database credentials or IAM database authentication. Stacksync manages authentication, retries, and rate limits on both sides.
-
Citus: Citus is a PostgreSQL extension, not a fork: clients connect with ordinary Postgres drivers and SQL, and the coordinator routes queries to shards. Google AlloyDB: A built-in columnar engine accelerates analytical queries on the same data that serves transactional workloads. Stacksync's field mapping accounts for these differences between Citus and Google AlloyDB without custom code.
-
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Citus and Google AlloyDB records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and Google AlloyDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Google AlloyDB integration in-house.
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 Citus and Google AlloyDB.
Popular · 8 of 386
-
Citus ⇄ Airtable -
Citus ⇄ AWS Aurora MySQL - Citus ⇄ AWS Aurora PostgreSQL
-
Citus ⇄ MongoDB -
Google AlloyDB ⇄ Amazon RDS -
Google AlloyDB ⇄ Supabase -
Google AlloyDB ⇄ MySQL -
Google AlloyDB ⇄ MariaDB
No integrations match .
