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Google Cloud Spanner to InfluxDB integration — real-time, two-way sync

Keep Google Cloud Spanner and InfluxDB 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 Cloud Spanner and InfluxDB

Keep Google Cloud Spanner and InfluxDB 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 Cloud Spanner and InfluxDB 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 Run a two-way sync between Spanner and a SaaS tool so edits made by ops teams land back in the application database.
  • 02 Consolidate data from a globally distributed Spanner deployment into regional business systems.
  • 03 Sync device and telemetry rollups from InfluxDB into a CRM or ERP so account teams see product usage and fleet health.
  • 04 Push metered usage aggregates into billing systems to drive usage-based pricing.

Common sync patterns

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 Google Cloud Spanner and InfluxDB, 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.

What you can sync between Google Cloud Spanner and InfluxDB

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 Spanner objects InfluxDB objects How this pairing syncs
Change streams Capture inserts, updates, and deletes for log-style change data capture. Points Individual time-stamped records, the unit of write via line protocol. Change streams is specific to Google Cloud Spanner and Points to InfluxDB — each maps to any object or custom field on the other side.
Views Read-only projections useful for shaping data before it leaves Spanner. Tags Indexed key-value metadata used for filtering and as sync partition keys. Views is specific to Google Cloud Spanner and Tags to InfluxDB — each maps to any object or custom field on the other side.
Databases Top-level containers that scope schema and sync configuration. Fields The unindexed numeric or string values carried by each point. Databases is specific to Google Cloud Spanner and Fields to InfluxDB — each maps to any object or custom field on the other side.
Tables Relational tables mapped one-to-one to sync targets. Retention policies Automatic expiry rules that determine how long synced history remains queryable. Tables is specific to Google Cloud Spanner and Retention policies to InfluxDB — each maps to any object or custom field on the other side.
Rows The unit of read and write in each sync cycle, keyed by primary key. Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. Rows is specific to Google Cloud Spanner and Organizations to InfluxDB — each maps to any object or custom field on the other side.
Interleaved tables Child rows physically co-located with parents; synced as related records. Buckets / databases Named containers with retention settings that scope reads and writes. Interleaved tables is specific to Google Cloud Spanner and Buckets / databases to InfluxDB — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud Spanner and InfluxDB

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 Cloud Spanner InfluxDB Sub-second propagation

DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.

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

InfluxDB Google Cloud Spanner Interval-based propagation

DetectionStacksync polls InfluxDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling with time-range queries.

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

Rate-limit considerations

  • Google Cloud Spanner: Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
  • InfluxDB: Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
What ships with Google Cloud Spanner ⇄ InfluxDB

Connect Google Cloud Spanner and InfluxDB for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud Spanner or InfluxDB 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 Spanner or InfluxDB record.

Observability

Monitoring

Track your Google Cloud Spanner ⇄ InfluxDB 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 Spanner and InfluxDB.

How the Google Cloud Spanner and InfluxDB connectors work

Google Cloud Spanner

Integration surface
gRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects)
Authentication
Google Cloud IAM (service accounts)
Change detection
Change streams (log-style CDC), or timestamp-based polling queries
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.

InfluxDB

Integration surface
REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version
Authentication
API token
Change detection
Polling with time-range queries; data is timestamped, so incremental reads use time cursors
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
How it works

How to connect Google Cloud Spanner to InfluxDB — 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 Spanner and InfluxDB 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 Spanner connected
    InfluxDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud Spanner and InfluxDB 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 Spanner ⇄ InfluxDB
    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 Spanner InfluxDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud Spanner and InfluxDB 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 374 integrations available for Google Cloud Spanner and InfluxDB.

Popular · 6 of 374
All Google Cloud Spanner integrations All InfluxDB integrations Browse all integrations
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