Real-time
Two-way sync
Changes in Exasol or Google AlloyDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Exasol to Google AlloyDB integration — real-time, two-way sync
Keep Exasol 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
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Exasol and Google AlloyDB
Connect Google AlloyDB and Exasol 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 Exasol, 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 Exasol in real time, and result tables in Exasol sync back into Google AlloyDB, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Keep dimension tables such as customers and products aligned with the systems of record.
- 02 Load CRM and ERP records into Exasol tables on a schedule so analysts query fresh operational data.
- 03 Migrate workloads from self-managed Postgres while keeping existing syncs pointed at a compatible endpoint.
- 04 Mirror CRM objects into AlloyDB tables so product and internal tools query customer data with plain SQL.
Common sync patterns
Operational data in the warehouse, minus the pipeline
Rows from Google AlloyDB land in Exasol as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Exasol sync into Google AlloyDB, 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 Exasol 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.
| Exasol objects | Google AlloyDB objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces that group the tables a sync reads from or writes into. | Schemas Namespaces used to separate synced SaaS data from application tables. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables Primary sync target; columnar relational tables written with standard SQL. | Tables Primary read/write target for bi-directional sync with CRMs and other systems. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Read-only query surfaces often used as curated sources for reverse ETL. | Views Curated projections used as read-only sync sources. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Virtual schemas Federated views over external sources; useful for deciding what needs physical replication. | Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. | Virtual schemas is specific to Exasol and Materialized Views to Google AlloyDB — each maps to any object or custom field on the other side. | |
| UDF scripts In-database functions that can transform synced data after load. | Indexes Keep sync key lookups fast on high-volume tables. | UDF scripts is specific to Exasol and Indexes to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Users and roles Grant read/write access for the dedicated integration account. | Sequences ID generation relevant when external systems insert rows. | Users and roles is specific to Exasol and Sequences to Google AlloyDB — each maps to any object or custom field on the other side. |
How changes propagate between Exasol and Google AlloyDB
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.
Exasol Google AlloyDB Interval-based propagation
DetectionStacksync polls Exasol for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key columns.
DeliveryEach detected change is applied to Google AlloyDB as a row-level write, with types converted between the two schemas.
Google AlloyDB Exasol Sub-second propagation
DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.
DeliveryEach detected change is applied to Exasol as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Exasol: No API quota; concurrency is bounded by cluster resources and session limits.
- Google AlloyDB: No API-style rate limits; throughput is bounded by instance size.
What ships with Exasol ⇄ Google AlloyDB
Connect Exasol and Google AlloyDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Exasol–Google AlloyDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Exasol 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 Exasol or Google AlloyDB record.
Observability
Monitoring
Track your Exasol ⇄ 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 Exasol and Google AlloyDB.
How the Exasol and Google AlloyDB connectors work
Exasol
- Integration surface
- SQL over JDBC/ODBC drivers and a WebSocket-based client protocol
- Authentication
- Database credentials (username and password)
- Change detection
- Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients
- Capabilities
- read · write
- Rate limits
- No API quota; concurrency is bounded by cluster resources and session 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 Exasol 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 Exasol 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.
Exasol
connected
Google AlloyDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Exasol 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 · Exasol ⇄ 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.
Exasol Google AlloyDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Exasol and Google AlloyDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Exasol and Google AlloyDB: authenticate both systems, choose the objects to sync (such as Exasol's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Exasol: Virtual schemas let Exasol query external sources in place, which affects whether data needs to be physically synced at all. Google AlloyDB: A built-in columnar engine accelerates analytical queries on the same data that serves transactional workloads. Stacksync's field mapping accounts for these differences between Exasol 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 Exasol 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 Exasol and Google AlloyDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Exasol–Google AlloyDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Exasol and Google AlloyDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Exasol: Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients. On Google AlloyDB: Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
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