Two-way sync
Changes in Amazon Redshift or Apache Doris instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and Apache Doris in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.
Stacksync syncs tables between Amazon Redshift and Apache Doris continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
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.
| Amazon Redshift objects | Apache Doris objects | |
|---|---|---|
| Users and Groups Principals used to grant a sync connection scoped access. | Partitions Range or list partitions that bound incremental loads. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Materialized Views Precomputed views readable for downstream syncs and BI. | |
| Schemas Namespaces used to organize synced tables and control grants. | Users and Roles Principals used to grant the sync connection scoped access. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | Databases Logical containers that scope connections and grants. | |
| Views SQL views readable as modeled sources for reverse syncs. | Tables Columnar tables in one of Doris's table models, used as sync destinations. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Apache Doris connection.
Changes in Amazon Redshift or Apache Doris instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Apache Doris data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Redshift or Apache Doris record.
Track your Amazon Redshift ⇄ Apache Doris sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Apache Doris.
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 Amazon Redshift and Apache Doris 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 Amazon Redshift and Apache Doris 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 Amazon Redshift and Apache Doris: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Users and Groups and Databases), 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 Amazon Redshift and Apache Doris connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Redshift–Apache Doris integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Redshift and Apache Doris. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Redshift: Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers. On Apache Doris: Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Redshift side: Stored Procedures, Users and Groups, Databases, Schemas, plus custom fields where Amazon Redshift exposes them. On the Apache Doris side: Unique Key Tables, Aggregate Key Tables, Partitions, Materialized Views. 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 Amazon Redshift and Apache Doris.