Two-way sync
Changes in Exasol or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Keep Exasol and Scaleway Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Scaleway Postgres'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 Scaleway Postgres where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Scaleway Postgres sync into Exasol in real time, and result tables in Exasol sync back into Scaleway Postgres, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Exasol and keep Scaleway Postgres focused on its operational workload.
Rows from Scaleway Postgres land in Exasol as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Exasol sync into Scaleway Postgres, where whatever reads from that database gets them without querying the warehouse.
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 | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces that group the tables a sync reads from or writes into. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | 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 sync unit; each table maps to an object or table on the other side of the sync. | 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-only sources for shaping data before it leaves the database. | 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. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Virtual schemas is specific to Exasol and Sequences to Scaleway Postgres — 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 Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | UDF scripts is specific to Exasol and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Users and roles Grant read/write access for the dedicated integration account. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Users and roles is specific to Exasol and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. |
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.
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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is applied to Exasol as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Exasol–Scaleway Postgres connection.
Changes in Exasol or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Exasol or Scaleway Postgres data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Exasol or Scaleway Postgres record.
Track your Exasol ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Exasol and Scaleway Postgres.
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.
Authenticate Exasol and Scaleway Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Exasol and Scaleway Postgres 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Exasol and Scaleway Postgres: 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.
Exasol: SQL over JDBC/ODBC drivers and a WebSocket-based client protocol. Authentication: Database credentials (username and password). Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
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. Scaleway Postgres: It runs the standard PostgreSQL engine, so ordinary Postgres drivers, ORMs, and SQL tooling work unmodified; managed-service restrictions apply to some server-level features. Stacksync's field mapping accounts for these differences between Exasol and Scaleway Postgres without custom code.
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 Scaleway Postgres records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Exasol and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Exasol–Scaleway Postgres integration in-house.
Yes — Stacksync ships production-grade connectors for both Exasol and Scaleway Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 371 integrations available for Exasol and Scaleway Postgres.