Two-way sync
Changes in Neo4j or TiDB instantly reflect in both systems. No stale data, no manual imports.
Keep Neo4j 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.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Neo4j and TiDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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.
| Neo4j objects | TiDB objects | |
|---|---|---|
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Databases MySQL-style schemas addressed by any MySQL-compatible client. | |
| Labels Node type markers used to map source tables or objects onto the graph. | Tables Row data stored in TiKV; the primary unit for reads, writes, and CDC. | |
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Views Logical views for shaping reads before syncing outward. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Columns MySQL-compatible types mapped to fields in the paired system. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Indexes Secondary indexes that keep incremental sync queries efficient. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Sequences Server-side ID generation relevant when external systems write rows. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–TiDB connection.
Changes in Neo4j or TiDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j 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 Neo4j or TiDB record.
Track your Neo4j ⇄ TiDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j 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 Neo4j 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 Neo4j 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 Neo4j and TiDB: authenticate both systems, choose the objects to sync (such as Neo4j's Properties and Labels), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Neo4j side: Relationships, Properties, Labels, Indexes & Constraints, plus custom fields where Neo4j 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 Neo4j and TiDB: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. TiDB: MySQL wire protocol (SQL). Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
Neo4j: Schema is optional, but uniqueness constraints and indexes are the standard way to make keyed syncs deterministic. 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 Neo4j 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 Neo4j and TiDB.