Real-time
Two-way sync
Changes in Dremio or Google AlloyDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Dremio to Google AlloyDB integration — real-time, two-way sync
Keep Dremio and Google AlloyDB 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Dremio and Google AlloyDB
Connect Google AlloyDB and Dremio 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 AlloyDB's rows in Dremio, 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 AlloyDB 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 AlloyDB sync into Dremio in real time, and result tables in Dremio sync back into Google AlloyDB, with schema and type mapping between the two systems handled for you.
Common use cases
- Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
- Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
- Mirror CRM objects into AlloyDB tables so product and internal tools query customer data with plain SQL.
- Use logical replication to feed AlloyDB changes into warehouses or event pipelines without batch jobs.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Dremio and keep Google AlloyDB focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Google AlloyDB land in Dremio as they change, replacing hand-built CDC and batch extract jobs.
What you can sync between Dremio and Google AlloyDB
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.
| Dremio objects | Google AlloyDB objects | |
|---|---|---|
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Indexes Keep sync key lookups fast on high-volume tables. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Sequences ID generation relevant when external systems insert rows. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Replication Slots Logical replication artifacts that back log-based change capture. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Schemas Namespaces used to separate synced SaaS data from application tables. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Tables Primary read/write target for bi-directional sync with CRMs and other systems. |
What ships with Dremio ⇄ Google AlloyDB
Connect Dremio and Google AlloyDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Google AlloyDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio or Google AlloyDB 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 Dremio or Google AlloyDB record.
Observability
Monitoring
Track your Dremio ⇄ Google AlloyDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Dremio and Google AlloyDB.
How the Dremio and Google AlloyDB connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
Google AlloyDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP
- Authentication
- Database credentials or IAM database authentication
- Change detection
- Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API-style rate limits; throughput is bounded by instance size
How it works
How to connect Dremio to Google AlloyDB — 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 Dremio and Google AlloyDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Dremio
connected
Google AlloyDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio and Google AlloyDB 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 · Dremio ⇄ Google AlloyDBCustomers 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.
Dremio Google AlloyDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and Google AlloyDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dremio and Google AlloyDB: authenticate both systems, choose the objects to sync (such as Dremio's Sources and Physical datasets), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. Google AlloyDB: SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP. Authentication: Database credentials or IAM database authentication. Stacksync manages authentication, retries, and rate limits on both sides.
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Dremio: Virtual datasets let teams expose curated, governed views, so a sync can target business-ready SQL views instead of raw files. Google AlloyDB: It supports PostgreSQL logical replication, enabling log-based change capture from the write-ahead log. Stacksync's field mapping accounts for these differences between Dremio and Google AlloyDB 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 Dremio and Google AlloyDB 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 Dremio and Google AlloyDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–Google AlloyDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Dremio and Google AlloyDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Dremio and Google AlloyDB.
Popular · 8 of 386
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Dremio ⇄ Azure Cosmos DB -
Dremio ⇄ Azure SQL Database -
Dremio ⇄ Citus -
Dremio ⇄ Couchbase -
Google AlloyDB ⇄ Firebolt - Google AlloyDB ⇄ Google Cloud Platform
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Google AlloyDB ⇄ Greenplum -
Google AlloyDB ⇄ IBM Netezza
No integrations match .
