Real-time
Two-way sync
Changes in Elasticsearch or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Database
Elasticsearch to Scaleway Postgres integration — real-time, two-way sync
Keep Elasticsearch 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 Elasticsearch and Scaleway Postgres
Keep Elasticsearch 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 Elasticsearch 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
- Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- Mirror support tickets into an index used for full-text search and agent-assist tooling.
- Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems
- Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
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 Elasticsearch and Scaleway Postgres, so each workload runs on the engine that suits it.
What you can sync between Elasticsearch 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.
| Elasticsearch objects | Scaleway Postgres objects | |
|---|---|---|
| Data streams Append-only targets for time-series or event data pushed from source systems. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Views Read-only sources for shaping data before it leaves the database. |
What ships with Elasticsearch ⇄ Scaleway Postgres
Connect Elasticsearch and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or Scaleway Postgres record.
Observability
Monitoring
Track your Elasticsearch ⇄ 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 Elasticsearch and Scaleway Postgres.
How the Elasticsearch and Scaleway Postgres connectors work
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
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 Elasticsearch 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 Elasticsearch 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.
Elasticsearch
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch 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 · Elasticsearch ⇄ 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.
Elasticsearch Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Elasticsearch's Data streams and Ingest pipelines), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Elasticsearch 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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Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
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Elasticsearch: Optimistic concurrency uses _seq_no and _primary_term instead of row locks, which matters when two writers touch the same document. Scaleway Postgres: Postgres-native types such as JSONB and arrays are available, and a sync layer must map them onto flat SaaS field types. Stacksync's field mapping accounts for these differences between Elasticsearch and Scaleway Postgres 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 Elasticsearch and Scaleway Postgres 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 Elasticsearch and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Scaleway Postgres integration in-house.
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 Elasticsearch and Scaleway Postgres.
Popular · 8 of 386
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Elasticsearch ⇄ Couchbase -
Elasticsearch ⇄ DuckDB -
Elasticsearch ⇄ Google Cloud Spanner - Elasticsearch ⇄ Google Cloud SQL
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Scaleway Postgres ⇄ SingleStore -
Scaleway Postgres ⇄ Amazon Aurora -
Scaleway Postgres ⇄ Amazon Lightsail -
Scaleway Postgres ⇄ Apache Cassandra
No integrations match .
