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Data warehouse ⇄ Database

Amazon Redshift to YugabyteDB integration — real-time, two-way sync

Keep Amazon Redshift and YugabyteDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Amazon Redshift and YugabyteDB

Connect YugabyteDB and Amazon Redshift with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want YugabyteDB's rows in Amazon Redshift, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in YugabyteDB where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in YugabyteDB sync into Amazon Redshift in real time, and result tables in Amazon Redshift sync back into YugabyteDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Centralize CRM, ERP, and product data in Redshift so analysts join it with warehouse tables.
  • 02 Publish finance rollups computed in Redshift back to spreadsheets or operational tools.
  • 03 Consolidate data from regional YugabyteDB clusters into one reporting store.
  • 04 Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.

Common sync patterns

Operational data in the warehouse, minus the pipeline

Rows from YugabyteDB land in Amazon Redshift as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Amazon Redshift sync into YugabyteDB, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between Amazon Redshift and YugabyteDB

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 YugabyteDB objects How this pairing syncs
Schemas Namespaces used to organize synced tables and control grants. Schemas Postgres-style namespaces in YSQL used to organize synced data. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tables Columnar tables used as sync destinations for SaaS and database data. Tables Distributed SQL tables split into tablets; the primary read and write targets. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Materialized Views Precomputed results that downstream syncs can read for performance. Materialized Views Precomputed query results available in YSQL for read-side shaping. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. Indexes Global secondary indexes maintained transactionally alongside table writes. External Tables (Spectrum) is specific to Amazon Redshift and Indexes to YugabyteDB — each maps to any object or custom field on the other side.
Stored Procedures SQL procedures sometimes invoked around load steps. Sequences ID generation objects relevant when syncing writes into YSQL tables. Stored Procedures is specific to Amazon Redshift and Sequences to YugabyteDB — each maps to any object or custom field on the other side.
Users and Groups Principals used to grant a sync connection scoped access. CDC Streams Change streams over the storage-layer WAL consumed through logical replication or Debezium-compatible connectors. Users and Groups is specific to Amazon Redshift and CDC Streams to YugabyteDB — each maps to any object or custom field on the other side.

How changes propagate between Amazon Redshift and YugabyteDB

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.

Amazon Redshift YugabyteDB Interval-based propagation

DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.

DeliveryEach detected change is applied to YugabyteDB as a row-level write, with types converted between the two schemas.

YugabyteDB Amazon Redshift Sub-second propagation

DetectionChanges in YugabyteDB are captured at the source via change data capture — no polling loop against its API. Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors.

DeliveryEach detected change is applied to Amazon Redshift as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Redshift: Bounded by cluster or serverless capacity and concurrency settings rather than API quotas.
  • YugabyteDB: No API rate limits; throughput scales with cluster nodes and tablet distribution.
What ships with Amazon Redshift ⇄ YugabyteDB

Connect Amazon Redshift and YugabyteDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–YugabyteDB connection.

Real-time

Two-way sync

Changes in Amazon Redshift or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Redshift or YugabyteDB 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 Amazon Redshift or YugabyteDB record.

Observability

Monitoring

Track your Amazon Redshift ⇄ YugabyteDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Redshift and YugabyteDB.

How the Amazon Redshift and YugabyteDB connectors work

Amazon Redshift

Integration surface
SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS
Authentication
Database credentials or IAM-based authentication
Change detection
Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers
Capabilities
read · write
Rate limits
Bounded by cluster or serverless capacity and concurrency settings rather than API quotas

YugabyteDB

Integration surface
SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
Authentication
Database credentials
Change detection
Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works

How to connect Amazon Redshift to YugabyteDB — 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.

  1. 01

    Connect your apps

    Authenticate Amazon Redshift and YugabyteDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon Redshift connected
    YugabyteDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Redshift and YugabyteDB 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon Redshift ⇄ YugabyteDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon Redshift YugabyteDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Redshift and YugabyteDB integration FAQ

SECURITY

Security teams trust 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.

Learn more about security
SOC 2 Type II
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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 465 integrations available for Amazon Redshift and YugabyteDB.

Popular · 6 of 465
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