Two-way sync
Changes in Google Cloud Platform or InfluxDB instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want InfluxDB's rows in Google Cloud Platform, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in InfluxDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in InfluxDB sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into InfluxDB, with schema and type mapping between the two systems handled for you.
Rows from InfluxDB land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Google Cloud Platform sync into InfluxDB, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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 Platform objects | InfluxDB objects | |
|---|---|---|
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Buckets / databases Named containers with retention settings that scope reads and writes. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Measurements The table-like grouping for points, typically mapped to a synced dataset. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Points Individual time-stamped records, the unit of write via line protocol. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Tags Indexed key-value metadata used for filtering and as sync partition keys. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Fields The unindexed numeric or string values carried by each point. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Retention policies Automatic expiry rules that determine how long synced history remains queryable. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–InfluxDB connection.
Changes in Google Cloud Platform or InfluxDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or InfluxDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or InfluxDB record.
Track your Google Cloud Platform ⇄ InfluxDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and InfluxDB.
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.
Authenticate Google Cloud Platform 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.
Pick the Google Cloud Platform 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Google Cloud Platform and InfluxDB: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery datasets and BigQuery tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. InfluxDB: REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version. Authentication: API token. Stacksync manages authentication, retries, and rate limits on both sides.
Google Cloud Platform: Authentication is uniform across services through IAM service accounts, so one credential model covers BigQuery, Cloud SQL, Cloud Storage, and Pub/Sub. InfluxDB: Every record is timestamped by design, which makes incremental extraction a natural time-range query rather than a CDC problem. Stacksync's field mapping accounts for these differences between Google Cloud Platform and InfluxDB 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 Google Cloud Platform and InfluxDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Platform and InfluxDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Platform–InfluxDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Platform and InfluxDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Google Cloud Platform and InfluxDB.