Two-way sync
Changes in Apache Cassandra or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Google Cloud Platform 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 Apache Cassandra'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 Apache Cassandra where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Apache Cassandra sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into Apache Cassandra, with schema and type mapping between the two systems handled for you.
Rows from Apache Cassandra 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 Apache Cassandra, 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.
| Apache Cassandra objects | Google Cloud Platform objects | |
|---|---|---|
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Pub/Sub topics Event streams used to move change events between systems in near real time. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Google Cloud Platform connection.
Changes in Apache Cassandra or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Google Cloud Platform 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 Cloud Platform record.
Track your Apache Cassandra ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Google Cloud Platform.
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 Cloud Platform 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 Cloud Platform 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 Cloud Platform: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Keyspaces and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Apache Cassandra and Google Cloud Platform records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Cassandra and Google Cloud Platform connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Google Cloud Platform integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Google Cloud Platform. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. On Google Cloud Platform: Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google Cloud Platform side: Cloud Storage objects, Pub/Sub topics, Firestore documents, Spanner tables, plus custom fields where Google Cloud Platform 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.
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 Cloud Platform.