Real-time
Two-way sync
Changes in Postgres Heroku or TiDB instantly reflect in both systems. No stale data, no manual imports.
Database
Postgres Heroku to TiDB integration — real-time, two-way sync
Keep Postgres Heroku 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Postgres Heroku and TiDB
Keep Postgres Heroku 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 Postgres Heroku 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 Reflect billing and subscription records into the app database so product logic reads local rows
- 02 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 03 Serve mixed transactional and analytical workloads on synced data using TiFlash columnar replicas
- 04 Two-way sync between TiDB tables and SaaS tools so operational edits made in either system converge
Common sync patterns
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 Postgres Heroku and TiDB, so each workload runs on the engine that suits it.
What you can sync between Postgres Heroku 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.
| Postgres Heroku objects | TiDB objects | How this pairing syncs | |
|---|---|---|---|
| Tables Standard Postgres tables; the primary two-way sync target for app data. | 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 Read-side projections exposed to outbound syncs. | 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. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Sequences Server-side ID generation relevant when external systems write rows. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Materialized Views Precomputed result sets synced outward on refresh. | Indexes Secondary indexes that keep incremental sync queries efficient. | Materialized Views is specific to Postgres Heroku and Indexes to TiDB — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Databases MySQL-style schemas addressed by any MySQL-compatible client. | Schemas is specific to Postgres Heroku and Databases to TiDB — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Columns MySQL-compatible types mapped to fields in the paired system. | Primary and Unique Keys is specific to Postgres Heroku and Columns to TiDB — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku 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.
Postgres Heroku TiDB Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is applied to TiDB as a row-level write, with types converted between the two schemas.
TiDB Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
- TiDB: Throughput scales with cluster size rather than fixed API quotas.
What ships with Postgres Heroku ⇄ TiDB
Connect Postgres Heroku and TiDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–TiDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or TiDB record.
Observability
Monitoring
Track your Postgres Heroku ⇄ TiDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and TiDB.
How the Postgres Heroku and TiDB connectors work
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
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 Postgres Heroku 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.
- 01
Connect your apps
Authenticate Postgres Heroku 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.
Postgres Heroku
connected
TiDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku 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.
objects · Postgres Heroku ⇄ TiDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Postgres Heroku TiDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and TiDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and TiDB: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Postgres Heroku side: Follower Databases, Tables, Views, Materialized Views, plus custom fields where Postgres Heroku exposes them. On the TiDB side: Views, Columns, Indexes, Sequences. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Postgres Heroku and TiDB: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
-
Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. TiDB: MySQL wire protocol (SQL). Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
-
Postgres Heroku: All connections require SSL, and server-level settings such as replication configuration are controlled by Heroku rather than the user. 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 Postgres Heroku and TiDB without custom code.
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.
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:
Related integrations
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