Real-time
Two-way sync
Changes in Google AlloyDB or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Database
Google AlloyDB to TimescaleDB integration — real-time, two-way sync
Keep Google AlloyDB and TimescaleDB 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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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Google AlloyDB and TimescaleDB
Keep Google AlloyDB and TimescaleDB 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 TimescaleDB 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 Mirror CRM objects into AlloyDB tables so product and internal tools query customer data with plain SQL.
- 02 Use logical replication to feed AlloyDB changes into warehouses or event pipelines without batch jobs.
- 03 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
- 04 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
Common sync patterns
Cross-engine sync
Keep the same dataset live in both Google AlloyDB and TimescaleDB, 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 TimescaleDB
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 | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces used to separate synced SaaS data from application tables. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Curated projections used as read-only sync sources. | Views Standard SQL views used to shape or filter data for consumers. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Materialized Views is specific to Google AlloyDB and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| Indexes Keep sync key lookups fast on high-volume tables. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Indexes is specific to Google AlloyDB and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Sequences ID generation relevant when external systems insert rows. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Sequences is specific to Google AlloyDB and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Replication Slots Logical replication artifacts that back log-based change capture. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Replication Slots is specific to Google AlloyDB and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Google AlloyDB and TimescaleDB
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 TimescaleDB 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 applied to TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Google AlloyDB Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Google AlloyDB ⇄ TimescaleDB
Connect Google AlloyDB and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google AlloyDB–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Google AlloyDB or TimescaleDB 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 TimescaleDB record.
Observability
Monitoring
Track your Google AlloyDB ⇄ TimescaleDB 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 TimescaleDB.
How the Google AlloyDB and TimescaleDB 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
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Google AlloyDB to TimescaleDB — 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 Google AlloyDB and TimescaleDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Google AlloyDB
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Google AlloyDB and TimescaleDB 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 · Google AlloyDB ⇄ TimescaleDBCustomers 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.
Google AlloyDB TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Google AlloyDB and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Google AlloyDB and TimescaleDB: authenticate both systems, choose the objects to sync (such as Google AlloyDB's Schemas and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Google AlloyDB and TimescaleDB: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Google AlloyDB and TimescaleDB, so each workload runs on the engine that suits it.
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Google AlloyDB: SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP. Authentication: Database credentials or IAM database authentication. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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Google AlloyDB: A built-in columnar engine accelerates analytical queries on the same data that serves transactional workloads. TimescaleDB: Hypertables automatically partition rows into time-based chunks while inserts and queries target the parent table. Stacksync's field mapping accounts for these differences between Google AlloyDB and TimescaleDB without custom code.
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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 Google AlloyDB and TimescaleDB records are not retained after a sync operation.
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.
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:
Related integrations
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