Two-way sync
Changes in Slack or TiDB instantly reflect in both systems. No stale data, no manual imports.
Keep Slack 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.
Engineers integrate with tools like Slack through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in TiDB.
Stacksync mirrors Threads, Users, User groups, Files from Slack into Views, Columns, Indexes, Sequences in TiDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Slack, so the tool and the database never disagree.
Records from Slack are ordinary rows in TiDB; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in TiDB and Stacksync propagates the change into Slack, replacing custom integration code.
Updates in Slack arrive as row changes in TiDB, so triggers, jobs, and services can respond in near real time.
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.
| Slack objects | TiDB objects | |
|---|---|---|
| Files Uploads attached to messages, retrievable for archiving. | Indexes Secondary indexes that keep incremental sync queries efficient. | |
| Reactions Emoji responses that can drive workflows, such as approving a synced record. | Sequences Server-side ID generation relevant when external systems write rows. | |
| Channels Conversations (public, private, DMs) that messages are read from and posted to. | Databases MySQL-style schemas addressed by any MySQL-compatible client. | |
| Messages Keyed by channel and timestamp; posted via chat.postMessage and read via history methods. | Tables Row data stored in TiKV; the primary unit for reads, writes, and CDC. | |
| Threads Replies grouped under a parent message timestamp, preserved when archiving conversations. | Views Logical views for shaping reads before syncing outward. | |
| Users Workspace members with profile fields, synced against HR systems and identity providers. | Columns MySQL-compatible types mapped to fields in the paired system. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Slack–TiDB connection.
Changes in Slack or TiDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Slack 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 Slack or TiDB record.
Track your Slack ⇄ TiDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Slack 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 Slack 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 Slack 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 Slack and TiDB: authenticate both systems, choose the objects to sync (such as Slack's Files and Reactions), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Slack side: Threads, Users, User groups, Files, plus custom fields where Slack 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 Slack and TiDB: Read Slack with a query; Automate Slack from your codebase; React to changes as they happen. Records from Slack are ordinary rows in TiDB; join them, index them, and use them in application logic without touching the vendor API.
Slack: Web API (HTTP RPC-style methods) plus the Events API. Authentication: OAuth 2.0 with bot or user tokens and granular scopes. TiDB: MySQL wire protocol (SQL). Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
Slack: Messages are identified by channel plus a ts timestamp, and the same ts value anchors thread replies. 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 Slack 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 386 integrations available for Slack and TiDB.