Two-way sync
Changes in Google Sheets or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Google Sheets 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.
Engineers integrate with tools like Google Sheets through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in TimescaleDB.
Stacksync mirrors Sheets (tabs), Rows, Ranges, Named ranges from Google Sheets into Views, Schemas, Hypertables, Chunks in TimescaleDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Google Sheets, so the tool and the database never disagree.
Updates in Google Sheets arrive as row changes in TimescaleDB, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Google Sheets are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
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 Sheets objects | TimescaleDB objects | |
|---|---|---|
| Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Rows Treated as records; a header row usually defines field names. | Views Standard SQL views used to shape or filter data for consumers. | |
| Ranges Addressed in A1 notation for batched reads and writes. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Named ranges Stable references that keep sync mappings valid when the grid moves. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Cell values Untyped by default, so syncs handle type coercion for dates and numbers. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Sheets–TimescaleDB connection.
Changes in Google Sheets or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Sheets or TimescaleDB 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 Sheets or TimescaleDB record.
Track your Google Sheets ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Sheets and TimescaleDB.
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 Sheets 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.
Pick the Google Sheets 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.
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 Sheets and TimescaleDB: authenticate both systems, choose the objects to sync (such as Google Sheets's Sheets (tabs) and Rows), map fields visually, and changes propagate both ways in milliseconds — no code required.
Google Sheets: There is no cell-level webhook: change detection is polling, with Drive API notifications limited to file-level modification signals. TimescaleDB: Native compression converts older chunks to a columnar layout while keeping them queryable with the same SQL. Stacksync's field mapping accounts for these differences between Google Sheets and TimescaleDB 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 Sheets and TimescaleDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Sheets and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Sheets–TimescaleDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Sheets and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Sheets: Polling; the Sheets API has no cell-level webhooks, and Drive push notifications only signal file-level changes. On TimescaleDB: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Sheets and TimescaleDB.