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OpenSearch to TiDB integration — real-time, two-way sync

Keep OpenSearch 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect OpenSearch and TiDB

Keep OpenSearch and TiDB synchronized in real time, across engines, regions, or services, in one or both directions.

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 OpenSearch 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.

Common use cases

  • 01 Index support tickets and activity logs from SaaS tools for operational dashboards.
  • 02 Backfill or rebuild indexes from a database after mapping changes without hand-written ETL.
  • 03 Two-way sync between TiDB tables and SaaS tools so operational edits made in either system converge
  • 04 Stream row-level changes to a warehouse or Kafka via CDC for near-real-time analytics

Common sync patterns

Regional or environment copies

Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.

Cross-engine sync

Keep the same dataset live in both OpenSearch and TiDB, so each workload runs on the engine that suits it.

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

What you can sync between OpenSearch and TiDB

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.

OpenSearch objects TiDB objects How this pairing syncs
Indexes The core container; synced records land in indexes with defined mappings Indexes Secondary indexes that keep incremental sync queries efficient. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills Sequences Server-side ID generation relevant when external systems write rows. Index aliases is specific to OpenSearch and Sequences to TiDB — each maps to any object or custom field on the other side.
Index templates Mapping and settings presets applied to new indexes a sync creates Databases MySQL-style schemas addressed by any MySQL-compatible client. Index templates is specific to OpenSearch and Databases to TiDB — each maps to any object or custom field on the other side.
Ingest pipelines Server-side processors that transform documents as they are written Tables Row data stored in TiKV; the primary unit for reads, writes, and CDC. Ingest pipelines is specific to OpenSearch and Tables to TiDB — each maps to any object or custom field on the other side.
Data streams Append-oriented time-series storage for logs and events pushed from source systems Views Logical views for shaping reads before syncing outward. Data streams is specific to OpenSearch and Views to TiDB — each maps to any object or custom field on the other side.
Snapshots Backup artifacts, relevant when reseeding an index from a repository Columns MySQL-compatible types mapped to fields in the paired system. Snapshots is specific to OpenSearch and Columns to TiDB — each maps to any object or custom field on the other side.

How changes propagate between OpenSearch and TiDB

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

OpenSearch TiDB Interval-based propagation

DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

DeliveryEach detected change is applied to TiDB as a row-level write, with types converted between the two schemas.

TiDB OpenSearch Sub-second propagation

DetectionChanges in TiDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via TiCDC, which captures row changes from TiKV and streams them to downstream sinks.

DeliveryEach detected change is written to OpenSearch through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • OpenSearch: Throughput bounded by cluster sizing rather than fixed API quotas.
  • TiDB: Throughput scales with cluster size rather than fixed API quotas.
What ships with OpenSearch ⇄ TiDB

Connect OpenSearch and TiDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every OpenSearch–TiDB connection.

Real-time

Two-way sync

Changes in OpenSearch or TiDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever OpenSearch or TiDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single OpenSearch or TiDB record.

Observability

Monitoring

Track your OpenSearch ⇄ TiDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between OpenSearch and TiDB.

How the OpenSearch and TiDB connectors work

OpenSearch

Integration surface
REST API over HTTP(S) with JSON payloads
Authentication
basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
Change detection
no native change feed; reads rely on queries with scroll or point-in-time polling
Capabilities
read · write
Rate limits
throughput bounded by cluster sizing rather than fixed API quotas

TiDB

Integration surface
MySQL wire protocol (SQL)
Authentication
Database credentials (MySQL-compatible username/password)
Change detection
Log-based CDC via TiCDC, which captures row changes from TiKV and streams them to downstream sinks; polling also works
Capabilities
read · write · CDC
Rate limits
Throughput scales with cluster size rather than fixed API quotas
How it works

How to connect OpenSearch to TiDB — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate OpenSearch 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    OpenSearch connected
    TiDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the OpenSearch 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · OpenSearch ⇄ TiDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    OpenSearch TiDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

OpenSearch and TiDB integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 349 integrations available for OpenSearch and TiDB.

Popular · 2 of 349
All OpenSearch integrations All TiDB integrations Browse all integrations
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