Real-time
Two-way sync
Changes in OpenSearch or Supabase instantly reflect in both systems. No stale data, no manual imports.
Database
OpenSearch to Supabase integration — real-time, two-way sync
Keep OpenSearch and Supabase 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 OpenSearch and Supabase
Keep OpenSearch and Supabase 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 OpenSearch and Supabase 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
- Stream CRM records such as accounts, contacts, and tickets into OpenSearch to power internal search across customer data.
- Sync product catalogs from an ERP or database into the indexes that back storefront search.
- Reflect auth.users state into support and CRM systems so teams see account status without querying the database
- Push product events captured in Supabase Postgres to marketing tools for lifecycle campaigns
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 OpenSearch and Supabase, so each workload runs on the engine that suits it.
What you can sync between OpenSearch and Supabase
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.
| OpenSearch objects | Supabase objects | |
|---|---|---|
| Ingest pipelines Server-side processors that transform documents as they are written | auth.users Managed authentication users, often mirrored into CRM or support systems. | |
| Data streams Append-oriented time-series storage for logs and events pushed from source systems | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | |
| Snapshots Backup artifacts, relevant when reseeding an index from a repository | JSONB Columns Semi-structured payloads such as event properties or nested objects. | |
| Indexes The core container; synced records land in indexes with defined mappings | Database Functions Postgres functions that can transform or validate synced rows. | |
| Documents JSON records written via the index and bulk APIs and read via search queries | Storage Object Metadata File metadata rows that can be joined to synced application data. | |
| Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | Tables Standard Postgres tables; the primary two-way sync target. |
What ships with OpenSearch ⇄ Supabase
Connect OpenSearch and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every OpenSearch–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever OpenSearch or Supabase 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 OpenSearch or Supabase record.
Observability
Monitoring
Track your OpenSearch ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between OpenSearch and Supabase.
How the OpenSearch and Supabase connectors work
OpenSearch
- Integration surface
- REST API over HTTP(S) with JSON payloads
- Authentication
- basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
- Change detection
- no native change feed; reads rely on queries with scroll or point-in-time polling
- Capabilities
- read · write
- Rate limits
- throughput bounded by cluster sizing rather than fixed API quotas
Supabase
- Integration surface
- Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
- Authentication
- Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
- Change detection
- Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works
How to connect OpenSearch to Supabase — 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 OpenSearch and Supabase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
OpenSearch
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the OpenSearch and Supabase 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 · OpenSearch ⇄ SupabaseCustomers 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.
OpenSearch SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
OpenSearch and Supabase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between OpenSearch and Supabase: authenticate both systems, choose the objects to sync (such as OpenSearch's Ingest pipelines and Data streams), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both OpenSearch and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on OpenSearch: No native change feed; reads rely on queries with scroll or point-in-time polling. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the OpenSearch side: Index aliases, Index templates, Ingest pipelines, Data streams, plus custom fields where OpenSearch exposes them. On the Supabase side: JSONB Columns, Database Functions, Storage Object Metadata, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
-
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.
-
Common patterns for OpenSearch and Supabase: 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.
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 OpenSearch and Supabase.
Popular · 8 of 386
-
OpenSearch ⇄ Couchbase -
OpenSearch ⇄ DuckDB -
OpenSearch ⇄ Elasticsearch -
OpenSearch ⇄ Google Cloud Spanner -
Supabase ⇄ Postgres Heroku -
Supabase ⇄ Airtable -
Supabase ⇄ AWS Aurora MySQL - Supabase ⇄ AWS Aurora PostgreSQL
No integrations match .
