Two-way sync
Changes in Amazon Redshift or TiDB instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and TiDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want TiDB'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 TiDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in TiDB sync into Amazon Redshift in real time, and result tables in Amazon Redshift sync back into TiDB, with schema and type mapping between the two systems handled for you.
Rows from TiDB land in Amazon Redshift as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Amazon Redshift sync into TiDB, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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 | TiDB objects | How this pairing syncs | |
|---|---|---|---|
| Databases Top-level containers within a cluster or serverless workgroup. | Databases MySQL-style schemas addressed by any MySQL-compatible client. | 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 Row data stored in TiKV; the primary unit for reads, writes, and CDC. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views SQL views readable as modeled sources for reverse syncs. | Views Logical views for shaping reads before syncing outward. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Namespaces used to organize synced tables and control grants. | Columns MySQL-compatible types mapped to fields in the paired system. | Schemas is specific to Amazon Redshift and Columns to TiDB — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | Indexes Secondary indexes that keep incremental sync queries efficient. | Materialized Views is specific to Amazon Redshift and Indexes to TiDB — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Sequences Server-side ID generation relevant when external systems write rows. | External Tables (Spectrum) is specific to Amazon Redshift and Sequences to TiDB — 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.
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 TiDB as a row-level write, with types converted between the two schemas.
DetectionChanges in TiDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via TiCDC, which captures row changes from TiKV and streams them to downstream sinks.
DeliveryEach detected change is applied to Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–TiDB connection.
Changes in Amazon Redshift or TiDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or TiDB 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 TiDB record.
Track your Amazon Redshift ⇄ TiDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and TiDB.
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 TiDB 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 TiDB 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 TiDB: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Amazon Redshift side: Schemas, Tables, Views, Materialized Views, plus custom fields where Amazon Redshift exposes them. On the TiDB side: Databases, Tables, Views, Columns. 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 Amazon Redshift and TiDB: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from TiDB land in Amazon Redshift as they change, replacing hand-built CDC and batch extract jobs.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. TiDB: MySQL wire protocol (SQL). Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Redshift: Redshift Spectrum lets queries span external tables on S3, so a sync can read data that never gets loaded into cluster storage. TiDB: Storage and compute scale horizontally by adding TiKV and TiDB nodes rather than resizing a single server. Stacksync's field mapping accounts for these differences between Amazon Redshift and TiDB without custom code.
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 465 integrations available for Amazon Redshift and TiDB.