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Database ⇄ Data warehouse

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

Keep TiDB and Vertica 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 TiDB and Vertica

Connect TiDB and Vertica 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 Vertica, 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 Vertica in real time, and result tables in Vertica sync back into TiDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Land ERP transactions in Vertica for finance analytics without maintaining hand-built ETL jobs.
  • 02 Push segments or aggregates computed in Vertica back into operational tools such as a CRM.
  • 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

Fresh analytics without loading windows

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

Offload heavy reads

Point analytical queries at the synced copy in Vertica and keep TiDB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

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

What you can sync between TiDB and Vertica

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.

TiDB objects Vertica objects How this pairing syncs
Tables Row data stored in TiKV; the primary unit for reads, writes, and CDC. Tables Columnar tables; the primary read and write targets for syncs. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Logical views for shaping reads before syncing outward. Views Logical views used to shape reads for downstream consumers. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Sequences Server-side ID generation relevant when external systems write rows. Schemas Namespaces used to organize synced datasets by domain or source. Sequences is specific to TiDB and Schemas to Vertica — each maps to any object or custom field on the other side.
Databases MySQL-style schemas addressed by any MySQL-compatible client. Projections Sorted, encoded physical copies of table data that the optimizer selects at query time; they affect load and query behavior rather than being addressed directly. Databases is specific to TiDB and Projections to Vertica — each maps to any object or custom field on the other side.
Columns MySQL-compatible types mapped to fields in the paired system. Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. Columns is specific to TiDB and Flex Tables to Vertica — each maps to any object or custom field on the other side.
Indexes Secondary indexes that keep incremental sync queries efficient. External Tables Data queried in place on files or object storage without loading. Indexes is specific to TiDB and External Tables to Vertica — each maps to any object or custom field on the other side.

How changes propagate between TiDB and Vertica

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.

TiDB Vertica 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 Vertica as a row-level write, with types converted between the two schemas.

Vertica TiDB Interval-based propagation

DetectionStacksync polls Vertica for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction-log CDC.

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

Rate-limit considerations

  • TiDB: Throughput scales with cluster size rather than fixed API quotas.
  • Vertica: No API rate limits; throughput is bounded by cluster resources, and bulk COPY is preferred over row-by-row writes.
What ships with TiDB ⇄ Vertica

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever TiDB or Vertica 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 TiDB or Vertica record.

Observability

Monitoring

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

Trading partners

EDI

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

How the TiDB and Vertica connectors work

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

Vertica

Integration surface
SQL over JDBC, ODBC, and ADO.NET drivers
Authentication
Database credentials, with LDAP, Kerberos, and OAuth options in enterprise deployments
Change detection
No exposed transaction-log CDC; polling on timestamp or epoch columns
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by cluster resources, and bulk COPY is preferred over row-by-row writes.
How it works

How to connect TiDB to Vertica — 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 TiDB and Vertica 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
    TiDB connected
    Vertica connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

TiDB and Vertica 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 363 integrations available for TiDB and Vertica.

Popular · 3 of 363
All TiDB integrations All Vertica integrations Browse all integrations
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