Two-way sync
Changes in Dynamo DB or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep Dynamo DB 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 Dynamo DB 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.
Keep the same dataset live in both Dynamo DB and Supabase, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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.
| Dynamo DB objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Tables The top-level containers a sync targets; each table is addressed independently. | Tables Standard Postgres tables; the primary two-way sync target. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Partition and Sort Keys is specific to Dynamo DB and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. | |
| Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | Views Read-side projections exposed to outbound syncs. | Global Secondary Indexes is specific to Dynamo DB and Views to Supabase — each maps to any object or custom field on the other side. | |
| DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Schemas Namespaces (public and custom) that scope sync access. | DynamoDB Streams is specific to Dynamo DB and Schemas to Supabase — each maps to any object or custom field on the other side. | |
| Global Tables Multi-region replicas relevant when syncs must read from a specific region. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Global Tables is specific to Dynamo DB and auth.users to Supabase — each maps to any object or custom field on the other side. | |
| Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Items is specific to Dynamo DB and Row Level Security Policies to Supabase — 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.
DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
DeliveryEach detected change is applied to Dynamo DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dynamo DB–Supabase connection.
Changes in Dynamo DB or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Dynamo DB 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 Dynamo DB or Supabase record.
Track your Dynamo DB ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Dynamo DB 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 Dynamo DB 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 Dynamo DB 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 Dynamo DB and Supabase: authenticate both systems, choose the objects to sync (such as Dynamo DB's Tables and Partition and Sort Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Dynamo DB and Supabase: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Dynamo DB and Supabase, so each workload runs on the engine that suits it.
Dynamo DB: Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries. Authentication: AWS IAM credentials with SigV4 request signing. Supabase: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Dynamo DB: Items are schemaless apart from the mandatory partition key (and optional sort key), so sync field mappings are defined per attribute rather than from a fixed schema. Supabase: Supabase Realtime is built on the Postgres write-ahead log, streaming row changes over websockets. Stacksync's field mapping accounts for these differences between Dynamo DB and Supabase 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 Dynamo DB and Supabase records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Dynamo DB and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dynamo DB–Supabase integration in-house.
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 484 integrations available for Dynamo DB and Supabase.