Two-way sync
Changes in Dremio or TiDB instantly reflect in both systems. No stale data, no manual imports.
Keep Dremio 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 Dremio, 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 Dremio in real time, and result tables in Dremio sync back into TiDB, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Dremio and keep TiDB focused on its operational workload.
Rows from TiDB land in Dremio as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Dremio 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.
| Dremio objects | TiDB objects | |
|---|---|---|
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Tables Row data stored in TiKV; the primary unit for reads, writes, and CDC. | |
| Jobs Query execution records useful for monitoring sync workloads. | Views Logical views for shaping reads before syncing outward. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Columns MySQL-compatible types mapped to fields in the paired system. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Indexes Secondary indexes that keep incremental sync queries efficient. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Sequences Server-side ID generation relevant when external systems write rows. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Databases MySQL-style schemas addressed by any MySQL-compatible client. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–TiDB connection.
Changes in Dremio or TiDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Dremio 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 Dremio or TiDB record.
Track your Dremio ⇄ TiDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Dremio 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 Dremio 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 Dremio 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 Dremio and TiDB: authenticate both systems, choose the objects to sync (such as Dremio's Reflections and Jobs), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Dremio and TiDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. 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 Dremio side: Jobs, Sources, Physical datasets, Virtual datasets (views), plus custom fields where Dremio 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 Dremio and TiDB: 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 Dremio and keep TiDB focused on its operational workload.
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 Dremio and TiDB.