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Data warehouse ⇄ Database

Actian Vector to TiDB integration — real-time, two-way sync

Keep Actian Vector 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.

  • SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Actian Vector and TiDB

Connect TiDB and Actian Vector with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want TiDB's rows in Actian Vector, 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 Actian Vector in real time, and result tables in Actian Vector sync back into TiDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Publish aggregates computed in Vector back to operational tools that business teams use.
  • 02 Consolidate data from several source systems into one Vector database for BI dashboards.
  • 03 Stream row-level changes to a warehouse or Kafka via CDC for near-real-time analytics
  • 04 Serve mixed transactional and analytical workloads on synced data using TiFlash columnar replicas

Common sync patterns

Operational data in the warehouse, minus the pipeline

Rows from TiDB land in Actian Vector as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Actian Vector sync into TiDB, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between Actian Vector 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.

Actian Vector objects TiDB objects How this pairing syncs
Databases Top-level containers targeted by a sync connection. Databases MySQL-style schemas addressed by any MySQL-compatible client. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tables Columnar tables that serve as sync sources or destinations. Tables Row data stored in TiKV; the primary unit for reads, writes, and CDC. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views SQL views readable as query-backed sync sources. Views Logical views for shaping reads before syncing outward. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Columns Typed columns mapped field-by-field during schema mapping. Columns MySQL-compatible types mapped to fields in the paired system. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Schemas Namespaces used to organize synced tables. Sequences Server-side ID generation relevant when external systems write rows. Schemas is specific to Actian Vector and Sequences to TiDB — each maps to any object or custom field on the other side.
Users and Roles Database principals used to grant the sync connection least-privilege access. Indexes Secondary indexes that keep incremental sync queries efficient. Users and Roles is specific to Actian Vector and Indexes to TiDB — each maps to any object or custom field on the other side.

How changes propagate between Actian Vector 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.

Actian Vector TiDB Interval-based propagation

DetectionStacksync polls Actian Vector for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.

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

TiDB Actian Vector 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 applied to Actian Vector as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Actian Vector: No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency.
  • TiDB: Throughput scales with cluster size rather than fixed API quotas.
What ships with Actian Vector ⇄ TiDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Actian Vector 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 Actian Vector or TiDB record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Actian Vector and TiDB connectors work

Actian Vector

Integration surface
SQL over JDBC/ODBC
Authentication
Database credentials
Change detection
Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers
Capabilities
read · write
Rate limits
No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency

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 Actian Vector 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 Actian Vector 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
    Actian Vector connected
    TiDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Actian Vector 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 · Actian Vector ⇄ 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
    Actian Vector TiDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Actian Vector 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 191 integrations available for Actian Vector and TiDB.

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