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Data warehouse ⇄ Database

Apache Pinot to Google Cloud Spanner integration — real-time, two-way sync

Keep Apache Pinot 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
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apache Pinot and Google Cloud Spanner

Connect Google Cloud Spanner and Apache Pinot 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 Pinot, 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 Pinot in real time, and result tables in Apache Pinot sync back into Google Cloud Spanner, with schema and type mapping between the two systems handled for you.

Common use cases

  • Query per-account usage metrics from Pinot and sync them into CRM fields so sales sees product activity.
  • Push reference and dimension data into Pinot via batch segment loads to enrich event queries.
  • Use change streams to feed near-real-time copies of operational tables into an analytics warehouse.
  • Run a two-way sync between Spanner and a SaaS tool so edits made by ops teams land back in the application database.

Offload heavy reads

Point analytical queries at the synced copy in Apache Pinot and keep Google Cloud Spanner focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from Google Cloud Spanner land in Apache Pinot as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Apache Pinot sync into Google Cloud Spanner, where whatever reads from that database gets them without querying the warehouse.

What you can sync between Apache Pinot 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 Pinot objects Google Cloud Spanner objects
Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. Rows The unit of read and write in each sync cycle, keyed by primary key.
Tenants Logical groupings that isolate workloads on shared clusters. Interleaved tables Child rows physically co-located with parents; synced as related records.
Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. Secondary indexes Used to make incremental read queries efficient on non-key columns.
Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. Change streams Capture inserts, updates, and deletes for log-style change data capture.
Segments Immutable data files that batch ingestion uploads and the cluster serves. Views Read-only projections useful for shaping data before it leaves Spanner.
Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. Databases Top-level containers that scope schema and sync configuration.
What ships with Apache Pinot ⇄ Google Cloud Spanner

Connect Apache Pinot and Google Cloud Spanner for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Google Cloud Spanner connection.

Real-time

Two-way sync

Changes in Apache Pinot or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot 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 Pinot or Google Cloud Spanner record.

Observability

Monitoring

Track your Apache Pinot ⇄ 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 Pinot and Google Cloud Spanner.

How the Apache Pinot and Google Cloud Spanner connectors work

Apache Pinot

Integration surface
REST API (SQL queries via the broker; administration via the controller); JDBC client available
Authentication
Deployment-dependent: HTTP basic authentication or token-based auth where enabled
Change detection
Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes
Capabilities
read · write
Rate limits
No fixed API quotas; query throughput depends on broker and server sizing

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 Pinot 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.

  1. 01

    Connect your apps

    Authenticate Apache Pinot 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Pinot connected
    Google Cloud Spanner connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Pinot 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Pinot ⇄ Google Cloud Spanner
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Pinot Google Cloud Spanner
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Apache Pinot and Google Cloud Spanner integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Apache Pinot and Google Cloud Spanner.

Popular · 8 of 386
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