Two-way sync
Changes in Dremio or Infor CRM instantly reflect in both systems. No stale data, no manual imports.
Keep Dremio and Infor CRM in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Custom entities, Accounts, Contacts, Leads from Infor CRM land in Dremio as live tables, updated within seconds, and columns computed in Dremio write back to fields in Infor CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Lead scores, churn risk, or usage segments computed in Dremio appear as fields in Infor CRM, where the people working accounts actually see them.
Join Infor CRM's relationship data with billing, product, and support data in Dremio to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in Dremio can be written back, so warehouse-side cleanup actually fixes the CRM.
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 | Infor CRM objects | |
|---|---|---|
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Contacts Person records synced with marketing and support tools. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Leads Unqualified records synced in from marketing sources. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Opportunities Pipeline records synced out for forecasting and reporting. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Tickets Service records synced with helpdesk and field service systems. | |
| Jobs Query execution records useful for monitoring sync workloads. | Activities Calls, meetings, and tasks synced for engagement reporting. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Campaigns Marketing containers linked to leads and opportunities. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Infor CRM connection.
Changes in Dremio or Infor CRM instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Dremio or Infor CRM 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 Infor CRM record.
Track your Dremio ⇄ Infor CRM sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Dremio and Infor CRM.
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 Infor CRM 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 Infor CRM 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 Infor CRM: authenticate both systems, choose the objects to sync (such as Dremio's Virtual datasets (views) and Apache Iceberg tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Dremio and Infor CRM connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–Infor CRM integration in-house.
Yes — Stacksync ships production-grade connectors for both Dremio and Infor CRM. 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 Infor CRM: Polling on modified timestamps; no log-based CDC on the API surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Infor CRM side: Custom entities, Accounts, Contacts, Leads, plus custom fields where Infor CRM exposes them. On the Dremio side: Spaces and folders, Reflections, Jobs, Sources. Stacksync auto-detects both schemas and converts types between the two systems.
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.
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 Infor CRM.