Two-way sync
Changes in Apache Cassandra or Google Sheets instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Google Sheets 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 Apache Cassandra.
Stacksync mirrors Sheets (tabs), Rows, Ranges, Named ranges from Google Sheets into Keyspaces, Tables, Partitions and Rows, Materialized Views in Apache Cassandra 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.
Records from Google Sheets are ordinary rows in Apache Cassandra; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Apache Cassandra and Stacksync propagates the change into Google Sheets, replacing custom integration code.
Updates in Google Sheets arrive as row changes in Apache Cassandra, so triggers, jobs, and services can respond in near real time.
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.
| Apache Cassandra objects | Google Sheets objects | |
|---|---|---|
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Ranges Addressed in A1 notation for batched reads and writes. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Named ranges Stable references that keep sync mappings valid when the grid moves. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Cell values Untyped by default, so syncs handle type coercion for dates and numbers. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Rows Treated as records; a header row usually defines field names. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Google Sheets connection.
Changes in Apache Cassandra or Google Sheets instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Google Sheets data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Cassandra or Google Sheets record.
Track your Apache Cassandra ⇄ Google Sheets sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Google Sheets.
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 Apache Cassandra and Google Sheets 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 Apache Cassandra and Google Sheets 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 Apache Cassandra and Google Sheets: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Partitions and Rows and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. On Google Sheets: Polling; the Sheets API has no cell-level webhooks, and Drive push notifications only signal file-level changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google Sheets side: Sheets (tabs), Rows, Ranges, Named ranges, plus custom fields where Google Sheets exposes them. On the Apache Cassandra side: Keyspaces, Tables, Partitions and Rows, Materialized Views. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Apache Cassandra and Google Sheets: Read Google Sheets with a query; Automate Google Sheets from your codebase; React to changes as they happen. Records from Google Sheets are ordinary rows in Apache Cassandra; join them, index them, and use them in application logic without touching the vendor API.
Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. Google Sheets: REST API (Google Sheets API), with file-level change signals available through the Drive API. Authentication: OAuth 2.0 (user consent) or Google service accounts. Stacksync manages authentication, retries, and rate limits on both sides.
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 Apache Cassandra and Google Sheets.