Two-way sync
Changes in TiDB or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Keep TiDB and Yellowbrick 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 Yellowbrick, 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 Yellowbrick in real time, and result tables in Yellowbrick sync back into TiDB, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Yellowbrick and keep TiDB focused on its operational workload.
Rows from TiDB land in Yellowbrick as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Yellowbrick sync into TiDB, where whatever reads from that database gets them without querying the warehouse.
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.
| TiDB objects | Yellowbrick objects | |
|---|---|---|
| Tables Row data stored in TiKV; the primary unit for reads, writes, and CDC. | Users and Roles Access-control objects that govern what a sync service account can read and write. | |
| Views Logical views for shaping reads before syncing outward. | Databases Top-level containers for schemas and tables. | |
| Columns MySQL-compatible types mapped to fields in the paired system. | Schemas Namespaces used to organize synced datasets by source or domain. | |
| Indexes Secondary indexes that keep incremental sync queries efficient. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | |
| Sequences Server-side ID generation relevant when external systems write rows. | Views Logical views used to shape reads for BI and downstream syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every TiDB–Yellowbrick connection.
Changes in TiDB or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever TiDB or Yellowbrick data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single TiDB or Yellowbrick record.
Track your TiDB ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between TiDB and Yellowbrick.
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 TiDB and Yellowbrick 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 TiDB and Yellowbrick 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 TiDB and Yellowbrick: authenticate both systems, choose the objects to sync (such as TiDB's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Yellowbrick side: Schemas, Tables, Views, Users and Roles, plus custom fields where Yellowbrick exposes them. On the TiDB side: Tables, Views, Columns, Indexes. 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 TiDB and Yellowbrick: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Yellowbrick and keep TiDB focused on its operational workload.
TiDB: MySQL wire protocol (SQL). Authentication: Database credentials (MySQL-compatible username/password). Yellowbrick: SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility. Authentication: Database credentials, with LDAP and Kerberos options in enterprise deployments. Stacksync manages authentication, retries, and rate limits on both sides.
Yellowbrick: The front end is PostgreSQL-compatible, so standard Postgres drivers and SQL tooling connect without custom clients. TiDB: TiCDC provides ordered row-level change capture and delivers to sinks such as Kafka or MySQL-compatible targets. Stacksync's field mapping accounts for these differences between TiDB and Yellowbrick 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 386 integrations available for TiDB and Yellowbrick.