Real-time
Two-way sync
Changes in Exasol or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Exasol to PostgreSQL integration — real-time, two-way sync
Keep Exasol and PostgreSQL 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 Exasol and PostgreSQL
Connect PostgreSQL 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 PostgreSQL'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 PostgreSQL where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in PostgreSQL sync into Exasol in real time, and result tables in Exasol sync back into PostgreSQL, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Sync computed metrics or customer segments from Exasol back into a CRM for sales and marketing use (reverse ETL).
- 02 Consolidate data from multiple operational databases into Exasol as the central analytics layer.
- 03 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
- 04 Let an application write to its own database and have those rows appear as records in business systems in near real time
Common sync patterns
Serve warehouse results at database speed
Aggregates or model outputs computed in Exasol sync into PostgreSQL, 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.
Offload heavy reads
Point analytical queries at the synced copy in Exasol and keep PostgreSQL focused on its operational workload.
What you can sync between Exasol and PostgreSQL
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 | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces that group the tables a sync reads from or writes into. | Schemas Namespaces that scope which tables a sync reads and writes. | 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 The primary sync target; rows map one-to-one to records in connected SaaS 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 Read-side projections used to expose joined or filtered data to a sync. | 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 result sets synced outward on a refresh schedule. | Virtual schemas is specific to Exasol and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| UDF scripts In-database functions that can transform synced data after load. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | UDF scripts is specific to Exasol and Columns to PostgreSQL — each maps to any object or custom field on the other side. | |
| Users and roles Grant read/write access for the dedicated integration account. | Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Users and roles is specific to Exasol and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between Exasol and PostgreSQL
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 PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.
PostgreSQL Exasol Sub-second propagation
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
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.
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Exasol ⇄ PostgreSQL
Connect Exasol and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Exasol–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Exasol or PostgreSQL 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 PostgreSQL record.
Observability
Monitoring
Track your Exasol ⇄ PostgreSQL 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 PostgreSQL.
How the Exasol and PostgreSQL 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
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
How it works
How to connect Exasol to PostgreSQL — 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 PostgreSQL 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
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Exasol and PostgreSQL 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 ⇄ PostgreSQLCustomers 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 PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Exasol and PostgreSQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Exasol and PostgreSQL: 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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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Exasol and PostgreSQL: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Exasol sync into PostgreSQL, where whatever reads from that database gets them without querying the warehouse.
-
Exasol: SQL over JDBC/ODBC drivers and a WebSocket-based client protocol. Authentication: Database credentials (username and password). PostgreSQL: SQL wire protocol (PostgreSQL frontend/backend protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. Stacksync manages authentication, retries, and rate limits on both sides.
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Exasol: Exasol is an in-memory, columnar MPP database that creates and maintains indexes automatically based on query patterns, rather than requiring manual index design. PostgreSQL: Renaming schemas, tables, or columns will break Stacksync configuration (requires manual sync configuration update). Stacksync's field mapping accounts for these differences between Exasol and PostgreSQL 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 PostgreSQL records are not retained after a sync operation.
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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