Two-way sync
Changes in Dremio or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Keep Dremio and Postgres Heroku in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Postgres Heroku's rows in Dremio, 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 Postgres Heroku where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Postgres Heroku sync into Dremio in real time, and result tables in Dremio sync back into Postgres Heroku, with schema and type mapping between the two systems handled for you.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Dremio and keep Postgres Heroku focused on its operational workload.
Rows from Postgres Heroku land in Dremio as they change, replacing hand-built CDC and batch extract jobs.
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.
| Dremio objects | Postgres Heroku objects | |
|---|---|---|
| Jobs Query execution records useful for monitoring sync workloads. | Materialized Views Precomputed result sets synced outward on refresh. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Postgres Heroku connection.
Changes in Dremio or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Dremio or Postgres Heroku data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Dremio or Postgres Heroku record.
Track your Dremio ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Dremio and Postgres Heroku.
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.
Authenticate Dremio and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Dremio and Postgres Heroku 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Dremio and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Dremio's Jobs and Sources), map fields visually, and changes propagate both ways in milliseconds — no code required.
Dremio: Arrow Flight SQL is a first-class endpoint designed for high-throughput columnar result transfer, an alternative to JDBC/ODBC for large extracts. Postgres Heroku: All connections require SSL, and server-level settings such as replication configuration are controlled by Heroku rather than the user. Stacksync's field mapping accounts for these differences between Dremio and Postgres Heroku without custom code.
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 Dremio and Postgres Heroku records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Dremio and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–Postgres Heroku integration in-house.
Yes — Stacksync ships production-grade connectors for both Dremio and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Dremio and Postgres Heroku.