Two-way sync
Changes in Cloudera Data Platform or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Google Cloud Spanner 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 Google Cloud Spanner's rows in Cloudera Data 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 Google Cloud Spanner where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Google Cloud Spanner sync into Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into Google Cloud Spanner, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Cloudera Data Platform sync into Google Cloud Spanner, 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.
Point analytical queries at the synced copy in Cloudera Data Platform and keep Google Cloud Spanner focused on its operational workload.
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.
| Cloudera Data Platform objects | Google Cloud Spanner objects | |
|---|---|---|
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Tables Relational tables mapped one-to-one to sync targets. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Rows The unit of read and write in each sync cycle, keyed by primary key. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Interleaved tables Child rows physically co-located with parents; synced as related records. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Secondary indexes Used to make incremental read queries efficient on non-key columns. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Change streams Capture inserts, updates, and deletes for log-style change data capture. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Views Read-only projections useful for shaping data before it leaves Spanner. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Google Cloud Spanner connection.
Changes in Cloudera Data Platform or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Google Cloud Spanner data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Cloudera Data Platform or Google Cloud Spanner record.
Track your Cloudera Data Platform ⇄ Google Cloud Spanner sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Google Cloud Spanner.
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 Cloudera Data Platform and Google Cloud Spanner 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 Cloudera Data Platform and Google Cloud Spanner 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 Cloudera Data Platform and Google Cloud Spanner: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Iceberg tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. Google Cloud Spanner: GRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects). Authentication: Google Cloud IAM (service accounts). Stacksync manages authentication, retries, and rate limits on both sides.
Cloudera Data Platform: Access is commonly brokered by Apache Knox and secured with Kerberos or LDAP, which integration tooling must support. Google Cloud Spanner: Change streams record row-level inserts, updates, and deletes and can be consumed through the API for CDC pipelines. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and Google Cloud Spanner 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 Cloudera Data Platform and Google Cloud Spanner records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cloudera Data Platform and Google Cloud Spanner connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–Google Cloud Spanner integration in-house.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and Google Cloud Spanner. 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 Cloudera Data Platform and Google Cloud Spanner.