Two-way sync
Changes in Greenplum or TiDB instantly reflect in both systems. No stale data, no manual imports.
Keep Greenplum 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 Greenplum, 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 Greenplum in real time, and result tables in Greenplum sync back into TiDB, with schema and type mapping between the two systems handled for you.
Rows from TiDB land in Greenplum as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Greenplum 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.
| Greenplum objects | TiDB objects | |
|---|---|---|
| Partitions Large tables are commonly partitioned by date, which shapes incremental reads. | Indexes Secondary indexes that keep incremental sync queries efficient. | |
| Views Read-only projections used to shape data before syncing it out. | Sequences Server-side ID generation relevant when external systems write rows. | |
| External tables Reference external files for bulk load paths alongside row-level syncs. | Databases MySQL-style schemas addressed by any MySQL-compatible client. | |
| Rows Read and written by key; distribution keys determine where rows live. | Tables Row data stored in TiKV; the primary unit for reads, writes, and CDC. | |
| Databases Top-level containers that scope a sync connection. | Views Logical views for shaping reads before syncing outward. | |
| Schemas Namespace tables and control which objects a sync can see. | Columns MySQL-compatible types mapped to fields in the paired system. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenplum–TiDB connection.
Changes in Greenplum or TiDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Greenplum 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 Greenplum or TiDB record.
Track your Greenplum ⇄ TiDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Greenplum 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 Greenplum 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 Greenplum 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 Greenplum and TiDB: authenticate both systems, choose the objects to sync (such as Greenplum's Partitions and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Greenplum: Polling with timestamp or key-based cursors; Greenplum does not expose logical-decoding CDC. On TiDB: Log-based CDC via TiCDC, which captures row changes from TiKV and streams them to downstream sinks; polling also works. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Greenplum side: Tables, Partitions, Views, External tables, plus custom fields where Greenplum exposes them. On the TiDB side: Views, Columns, Indexes, Sequences. 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 Greenplum 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 Greenplum as they change, replacing hand-built CDC and batch extract jobs.
Greenplum: PostgreSQL wire protocol (libpq), plus JDBC/ODBC drivers. Authentication: Database credentials. TiDB: MySQL wire protocol (SQL). Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
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 Greenplum and TiDB.