Real-time
Two-way sync
Changes in InterSystems IRIS or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Database
InterSystems IRIS to Scaleway Postgres integration — real-time, two-way sync
Keep InterSystems IRIS 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.
- 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 InterSystems IRIS and Scaleway Postgres
Keep InterSystems IRIS and Scaleway Postgres synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between InterSystems IRIS and Scaleway Postgres continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- 01 Sync operational tables in IRIS bi-directionally with a CRM so business teams work on IRIS-backed data without SQL access
- 02 Consolidate IRIS data with other databases in an analytics warehouse for cross-system reporting
- 03 Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
- 04 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
Common sync patterns
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both InterSystems IRIS and Scaleway Postgres, so each workload runs on the engine that suits it.
What you can sync between InterSystems IRIS and Scaleway Postgres
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.
| InterSystems IRIS objects | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Tables Relational projections of stored data are the primary read/write surface for SQL-based syncs. | 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 SQL views expose curated slices of data for outbound replication. | 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. | |
| Schemas Schema organization scopes which tables a sync connection can see. | 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. | |
| Stored Procedures Server-side logic callable over SQL supports controlled writes and transformations. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Stored Procedures is specific to InterSystems IRIS and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Persistent Classes Object-model classes project to tables, so class data is reachable through SQL. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Persistent Classes is specific to InterSystems IRIS and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Globals The underlying multidimensional storage; typically accessed indirectly via SQL or objects in syncs. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Globals is specific to InterSystems IRIS and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between InterSystems IRIS and Scaleway Postgres
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.
InterSystems IRIS Scaleway Postgres Interval-based propagation
DetectionStacksync polls InterSystems IRIS for changes on an incremental schedule, reading only records changed since the previous pass. Polling (timestamp or query-based).
DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres InterSystems IRIS Sub-second propagation
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 InterSystems IRIS as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- InterSystems IRIS: Constrained by database resources rather than published API rate limits.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with InterSystems IRIS ⇄ Scaleway Postgres
Connect InterSystems IRIS and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every InterSystems IRIS–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever InterSystems IRIS or Scaleway Postgres 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 InterSystems IRIS or Scaleway Postgres record.
Observability
Monitoring
Track your InterSystems IRIS ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between InterSystems IRIS and Scaleway Postgres.
How the InterSystems IRIS and Scaleway Postgres connectors work
InterSystems IRIS
- Integration surface
- SQL over JDBC/ODBC, plus object and REST access layers
- Authentication
- Database credentials
- Change detection
- Polling (timestamp or query-based); no standard webhook surface
- Capabilities
- read · write
- Rate limits
- Constrained by database resources rather than published API rate limits
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect InterSystems IRIS to Scaleway Postgres — 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 InterSystems IRIS 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.
InterSystems IRIS
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the InterSystems IRIS 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.
objects · InterSystems IRIS ⇄ Scaleway PostgresCustomers 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.
InterSystems IRIS Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
InterSystems IRIS and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between InterSystems IRIS and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as InterSystems IRIS's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Change detection on InterSystems IRIS: Polling (timestamp or query-based); no standard webhook surface. On Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the InterSystems IRIS side: Tables, Views, Schemas, Persistent Classes, plus custom fields where InterSystems IRIS exposes them. On the Scaleway Postgres side: Schemas, Sequences, Columns, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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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 InterSystems IRIS and Scaleway Postgres: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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InterSystems IRIS: SQL over JDBC/ODBC, plus object and REST access layers. Authentication: Database credentials. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
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
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 392 integrations available for InterSystems IRIS and Scaleway Postgres.
Popular · 8 of 392
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InterSystems IRIS ⇄ SQL Server -
InterSystems IRIS ⇄ Postgres Heroku -
InterSystems IRIS ⇄ Airtable -
InterSystems IRIS ⇄ AWS Aurora MySQL -
Scaleway Postgres ⇄ Amazon RDS -
Scaleway Postgres ⇄ Supabase -
Scaleway Postgres ⇄ MySQL -
Scaleway Postgres ⇄ MariaDB
No integrations match .
