Real-time
Two-way sync
Changes in Apache Doris or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Apache Doris to Google Cloud Spanner integration — real-time, two-way sync
Keep Apache Doris 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.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Apache Doris and Google Cloud Spanner
Connect Google Cloud Spanner and Apache Doris with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Google Cloud Spanner's rows in Apache Doris, 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 Apache Doris in real time, and result tables in Apache Doris sync back into Google Cloud Spanner, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Consolidate event and transactional data from multiple sources into one real-time OLAP layer.
- 02 Land CRM and operational database records in Doris for low-latency dashboards over fresh data.
- 03 Run a two-way sync between Spanner and a SaaS tool so edits made by ops teams land back in the application database.
- 04 Consolidate data from a globally distributed Spanner deployment into regional business systems.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from Google Cloud Spanner land in Apache Doris as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Apache Doris sync into Google Cloud Spanner, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
What you can sync between Apache Doris and Google Cloud Spanner
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 Doris objects | Google Cloud Spanner objects | How this pairing syncs | |
|---|---|---|---|
| Databases Logical containers that scope connections and grants. | Databases Top-level containers that scope schema and sync configuration. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables Columnar tables in one of Doris's table models, used as sync destinations. | Tables Relational tables mapped one-to-one to sync targets. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. | Rows The unit of read and write in each sync cycle, keyed by primary key. | Unique Key Tables is specific to Apache Doris and Rows to Google Cloud Spanner — each maps to any object or custom field on the other side. | |
| Aggregate Key Tables Tables that pre-aggregate on load, used for metric rollups. | Interleaved tables Child rows physically co-located with parents; synced as related records. | Aggregate Key Tables is specific to Apache Doris and Interleaved tables to Google Cloud Spanner — each maps to any object or custom field on the other side. | |
| Partitions Range or list partitions that bound incremental loads. | Secondary indexes Used to make incremental read queries efficient on non-key columns. | Partitions is specific to Apache Doris and Secondary indexes to Google Cloud Spanner — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed views readable for downstream syncs and BI. | Change streams Capture inserts, updates, and deletes for log-style change data capture. | Materialized Views is specific to Apache Doris and Change streams to Google Cloud Spanner — each maps to any object or custom field on the other side. |
How changes propagate between Apache Doris and Google Cloud Spanner
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Apache Doris Google Cloud Spanner Interval-based propagation
DetectionStacksync polls Apache Doris for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns for reads.
DeliveryEach detected change is applied to Google Cloud Spanner as a row-level write, with types converted between the two schemas.
Google Cloud Spanner Apache Doris Sub-second propagation
DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.
DeliveryEach detected change is applied to Apache Doris as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Apache Doris: No API quotas; load throughput depends on cluster resources and load-job configuration.
- Google Cloud Spanner: Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
What ships with Apache Doris ⇄ Google Cloud Spanner
Connect Apache Doris and Google Cloud Spanner for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Doris–Google Cloud Spanner connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Doris or Google Cloud Spanner data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Apache Doris or Google Cloud Spanner record.
Observability
Monitoring
Track your Apache Doris ⇄ Google Cloud Spanner sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apache Doris and Google Cloud Spanner.
How the Apache Doris and Google Cloud Spanner connectors work
Apache Doris
- Integration surface
- MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion
- Authentication
- Database credentials
- Change detection
- Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs
- Capabilities
- read · write
- Rate limits
- No API quotas; load throughput depends on cluster resources and load-job configuration
Google Cloud Spanner
- Integration surface
- gRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects)
- Authentication
- Google Cloud IAM (service accounts)
- Change detection
- Change streams (log-style CDC), or timestamp-based polling queries
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
How it works
How to connect Apache Doris to Google Cloud Spanner — three steps, no code
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.
- 01
Connect your apps
Authenticate Apache Doris 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.
Apache Doris
connected
Google Cloud Spanner
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Doris 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.
objects · Apache Doris ⇄ Google Cloud SpannerCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Apache Doris Google Cloud SpannerCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Doris and Google Cloud Spanner integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apache Doris and Google Cloud Spanner: authenticate both systems, choose the objects to sync (such as Apache Doris's Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Apache Doris and Google Cloud Spanner: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Google Cloud Spanner land in Apache Doris as they change, replacing hand-built CDC and batch extract jobs.
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Apache Doris: MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion. Authentication: Database credentials. 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.
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Apache Doris: Doris speaks the MySQL wire protocol, so standard MySQL clients and drivers connect to it without special adapters. 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 Apache Doris and Google Cloud Spanner without custom code.
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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 Doris and Google Cloud Spanner records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Doris and Google Cloud Spanner connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Doris–Google Cloud Spanner integration in-house.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 359 integrations available for Apache Doris and Google Cloud Spanner.
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