Real-time
Two-way sync
Changes in Postgres Heroku or VoltDB instantly reflect in both systems. No stale data, no manual imports.
Database
Postgres Heroku to VoltDB integration — real-time, two-way sync
Keep Postgres Heroku and VoltDB 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
- POC with real engineers in minutes
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 VoltDB
Keep Postgres Heroku and VoltDB 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 VoltDB 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 Push aggregates from VoltDB materialized views into dashboards or operational tools.
- 04 Sync customer or account reference data from a CRM into VoltDB replicated tables for in-transaction lookups such as fraud or policy checks.
Common sync patterns
Cross-engine sync
Keep the same dataset live in both Postgres Heroku and VoltDB, 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.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
What you can sync between Postgres Heroku and VoltDB
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 | VoltDB objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed result sets synced outward on refresh. | Materialized Views Synchronously maintained aggregates over tables, useful as pre-computed read sources. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Stored Procedures Precompiled transactional units that serve as the primary write interface. | Schemas is specific to Postgres Heroku and Stored Procedures to VoltDB — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Streams Insert-only constructs that feed the export subsystem with committed rows. | Primary and Unique Keys is specific to Postgres Heroku and Streams to VoltDB — each maps to any object or custom field on the other side. | |
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Export Targets and Topics Connectors that push committed data to external systems such as Kafka or JDBC sinks. | JSONB Columns is specific to Postgres Heroku and Export Targets and Topics to VoltDB — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Partitioned Tables Tables sharded across partitions by a partitioning column; the primary transactional store and sync target. | Sequences is specific to Postgres Heroku and Partitioned Tables to VoltDB — each maps to any object or custom field on the other side. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Replicated Tables Small reference tables copied to every partition, a common landing spot for synced lookup data. | Follower Databases is specific to Postgres Heroku and Replicated Tables to VoltDB — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku and VoltDB
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 VoltDB 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 VoltDB as a row-level write, with types converted between the two schemas.
VoltDB Postgres Heroku Interval-based propagation
DetectionStacksync polls VoltDB for changes on an incremental schedule, reading only records changed since the previous pass. Export streams and topics push committed changes to configured targets.
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.
- VoltDB: No API rate limits; throughput is bounded by partition count and cluster sizing.
What ships with Postgres Heroku ⇄ VoltDB
Connect Postgres Heroku and VoltDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–VoltDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku or VoltDB 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 VoltDB record.
Observability
Monitoring
Track your Postgres Heroku ⇄ VoltDB 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 VoltDB.
How the Postgres Heroku and VoltDB 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
VoltDB
- Integration surface
- SQL over JDBC plus native client libraries and an HTTP/JSON interface
- Authentication
- Database credentials
- Change detection
- Export streams and topics push committed changes to configured targets; otherwise polling
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by partition count and cluster sizing.
How it works
How to connect Postgres Heroku to VoltDB — 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 VoltDB 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
VoltDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku and VoltDB 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 ⇄ VoltDBCustomers 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 VoltDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and VoltDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and VoltDB: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Materialized Views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Postgres Heroku and VoltDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Postgres Heroku and VoltDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–VoltDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Postgres Heroku and VoltDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. On VoltDB: Export streams and topics push committed changes to configured targets; otherwise polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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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 VoltDB side: Export Targets and Topics, Partitioned Tables, Replicated Tables, Stored Procedures. Stacksync auto-detects both schemas and converts types between the two systems.
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
CSA STAR
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
Every pair below is a real-time, two-way sync. Search all 392 integrations available for Postgres Heroku and VoltDB.
Popular · 8 of 392
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Postgres Heroku ⇄ MarkLogic -
Postgres Heroku ⇄ Neo4j -
Postgres Heroku ⇄ OCI Database (Oracle Cloud) -
Postgres Heroku ⇄ OpenSearch -
VoltDB ⇄ AWS Aurora MySQL - VoltDB ⇄ AWS Aurora PostgreSQL
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VoltDB ⇄ MongoDB -
VoltDB ⇄ CockroachDB
No integrations match .
