Two-way sync
Changes in RavenDB or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep RavenDB 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.
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 RavenDB 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.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both RavenDB and Supabase, so each workload runs on the engine that suits it.
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.
| RavenDB objects | Supabase objects | |
|---|---|---|
| Counters Numeric values attached to documents that change independently of the document body | Database Functions Postgres functions that can transform or validate synced rows. | |
| Time series Timestamped measurements stored per document, synced for metrics analysis | Storage Object Metadata File metadata rows that can be joined to synced application data. | |
| Data subscriptions Server-side change feeds that push matching documents to consumers | Tables Standard Postgres tables; the primary two-way sync target. | |
| Documents JSON records, the primary unit read and written during sync | Views Read-side projections exposed to outbound syncs. | |
| Collections Groupings of documents by type, mapped to tables in relational targets | Schemas Namespaces (public and custom) that scope sync access. | |
| Indexes Static and auto indexes used to query documents for filtered reads | auth.users Managed authentication users, often mirrored into CRM or support systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every RavenDB–Supabase connection.
Changes in RavenDB or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever RavenDB or Supabase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single RavenDB or Supabase record.
Track your RavenDB ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between RavenDB and Supabase.
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 RavenDB 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.
Pick the RavenDB 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.
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 RavenDB and Supabase: authenticate both systems, choose the objects to sync (such as RavenDB's Counters and Time series), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed RavenDB and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom RavenDB–Supabase integration in-house.
Yes — Stacksync ships production-grade connectors for both RavenDB and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on RavenDB: Data subscriptions and the Changes API provide server-pushed change feeds. 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 RavenDB side: Documents, Collections, Indexes, Attachments, plus custom fields where RavenDB 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.
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 386 integrations available for RavenDB and Supabase.