Skip to content
Developer tools ⇄ Database

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

Keep Google Pubsub 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.

  • 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 Google Pubsub and InfluxDB

Keep InfluxDB and Google Pubsub in step: the rows in your database and the Message attributes, Dead-letter topics, Ordering keys, Topics your engineering tools track stay consistent in real time, in both directions.

InfluxDB is where your application's durable data lives; Google Pubsub is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.

Stacksync syncs Fields, Retention policies, Organizations, Buckets / databases in InfluxDB with Message attributes, Dead-letter topics, Ordering keys, Topics in Google Pubsub field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.

Common use cases

  • 01 Push metered usage aggregates into billing systems to drive usage-based pricing.
  • 02 Write events from operational databases or applications into InfluxDB as time-stamped points for monitoring.
  • 03 Bridge order or billing events off a topic into an ERP or ticketing system as they arrive, mapping message attributes to target fields.
  • 04 Attach an Avro or Protocol Buffer schema to a topic so every message Stacksync publishes is validated against an agreed contract.

Common sync patterns

Where Google Pubsub manages users or groups: keep identity aligned

Directory and identity records in Google Pubsub stay matched to the users or owners table in InfluxDB, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in InfluxDB creates or updates the matching record in Google Pubsub, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.

Land tool activity as queryable rows

Records and events from Google Pubsub arrive in InfluxDB as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.

What you can sync between Google Pubsub 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 Pubsub objects InfluxDB objects How this pairing syncs
Subscriptions A stream of messages from one topic; Stacksync consumes here via StreamingPull or a push endpoint, acknowledging each message after a successful write. Retention policies Automatic expiry rules that determine how long synced history remains queryable. Subscriptions is specific to Google Pubsub and Retention policies to InfluxDB — each maps to any object or custom field on the other side.
Messages The synced unit: base64-encoded data plus attributes, ordering key, messageId and publishTime; capped at 10 MB each. Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. Messages is specific to Google Pubsub and Organizations to InfluxDB — each maps to any object or custom field on the other side.
Schemas Avro or Protocol Buffer definitions bound to a topic; validate that every published message matches the agreed structure. Buckets / databases Named containers with retention settings that scope reads and writes. Schemas is specific to Google Pubsub and Buckets / databases to InfluxDB — each maps to any object or custom field on the other side.
Snapshots Captured subscription state for seek/replay; lets already-acknowledged messages be redelivered from a point in time. Measurements The table-like grouping for points, typically mapped to a synced dataset. Snapshots is specific to Google Pubsub and Measurements to InfluxDB — each maps to any object or custom field on the other side.
Message attributes Up to 100 key-value pairs per message; carry routing metadata and drive subscription filter expressions. Points Individual time-stamped records, the unit of write via line protocol. Message attributes is specific to Google Pubsub and Points to InfluxDB — each maps to any object or custom field on the other side.
Dead-letter topics Destination for messages that exceed a subscription's max delivery attempts; isolates poison messages for later handling. Tags Indexed key-value metadata used for filtering and as sync partition keys. Dead-letter topics is specific to Google Pubsub and Tags to InfluxDB — each maps to any object or custom field on the other side.

How changes propagate between Google Pubsub 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 Pubsub InfluxDB Sub-second propagation

DetectionGoogle Pubsub notifies Stacksync of record changes through webhook events. Consumes messages as they arrive on a subscription — StreamingPull (long-lived gRPC) or a push subscription delivering each message as an HTTPS POST.

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

InfluxDB Google Pubsub 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 written to Google Pubsub through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Google Pubsub: Per-region throughput quotas (publish up to ~4 GB/s in large regions); 10 MB max per message and per publish request, 1,000 messages per request, and 1 MBps per ordering key.
  • InfluxDB: Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
What ships with Google Pubsub ⇄ InfluxDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Pubsub 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 Pubsub or InfluxDB record.

Observability

Monitoring

Track your Google Pubsub ⇄ 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 Pubsub and InfluxDB.

How the Google Pubsub and InfluxDB connectors work

Google Pubsub

Integration surface
REST and gRPC (Cloud Pub/Sub API v1)
Authentication
Google Cloud IAM via OAuth 2.0 / service-account credentials (JSON key or workload identity); requires roles such as pubsub.publisher and pubsub.subscriber
Change detection
Consumes messages as they arrive on a subscription — StreamingPull (long-lived gRPC) or a push subscription delivering each message as an HTTPS POST; no modified-date polling
Capabilities
read · write · webhooks
Rate limits
Per-region throughput quotas (publish up to ~4 GB/s in large regions); 10 MB max per message and per publish request, 1,000 messages per request, and 1 MBps per ordering key

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 Pubsub 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 Pubsub 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 Pubsub connected
    InfluxDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Pubsub 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 Pubsub ⇄ 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 Pubsub InfluxDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Google Pubsub 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 265 integrations available for Google Pubsub and InfluxDB.

Popular · 6 of 265
All Google Pubsub integrations All InfluxDB integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own