Real-time
Two-way sync
Changes in Dremio or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ CRM
Dremio to Salesforce integration — real-time, two-way sync
Keep Dremio and Salesforce 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 Dremio and Salesforce
Sync Salesforce into Dremio continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.
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. Leads, Opportunities, Cases, Campaigns from Salesforce land in Dremio as live tables, updated within seconds, and columns computed in Dremio write back to fields in Salesforce. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- Sync Accounts, Contacts, and Opportunities bi-directionally with Postgres so engineering teams read and write CRM data with plain SQL.
- Write product usage metrics computed in a warehouse onto Account and Contact fields so reps see adoption signals on the record.
- Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
- Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
Cleanup that sticks
Deduplication and normalization done in Dremio can be written back, so warehouse-side cleanup actually fixes the CRM.
CRM analytics on live data
Accounts, contacts, and activity from Salesforce are queryable in Dremio moments after they change, so dashboards stop lagging the reality they describe.
Scores and segments back on the record
Lead scores, churn risk, or usage segments computed in Dremio appear as fields in Salesforce, where the people working accounts actually see them.
What you can sync between Dremio and Salesforce
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 | Salesforce objects | |
|---|---|---|
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | |
| Jobs Query execution records useful for monitoring sync workloads. | Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Cases Support records; synced with help desk tools or internal databases for escalation workflows. |
What ships with Dremio ⇄ Salesforce
Connect Dremio and Salesforce for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Salesforce connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio or Salesforce 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 Dremio or Salesforce record.
Observability
Monitoring
Track your Dremio ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Dremio and Salesforce.
How the Dremio and Salesforce connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
Salesforce
- Integration surface
- REST, SOAP, and Bulk APIs
- Authentication
- OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode
- Change detection
- Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting)
- Capabilities
- read · write · CDC
- Rate limits
- Daily API request allocations vary by edition and license count.
How it works
How to connect Dremio to Salesforce — 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 Dremio and Salesforce with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Dremio
connected
Salesforce
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio and Salesforce 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 · Dremio ⇄ SalesforceCustomers 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.
Dremio SalesforceCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and Salesforce integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dremio and Salesforce: authenticate both systems, choose the objects to sync (such as Dremio's Spaces and folders and Reflections), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Dremio and Salesforce: Cleanup that sticks; CRM analytics on live data; Scores and segments back on the record. Deduplication and normalization done in Dremio can be written back, so warehouse-side cleanup actually fixes the CRM.
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Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. Salesforce: REST, SOAP, and Bulk APIs. Authentication: OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode. Stacksync manages authentication, retries, and rate limits on both sides.
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Salesforce: Records are queried with SOQL, and every standard and custom object carries a SystemModstamp field that sync engines use to order incremental changes. Dremio: Arrow Flight SQL is a first-class endpoint designed for high-throughput columnar result transfer, an alternative to JDBC/ODBC for large extracts. Stacksync's field mapping accounts for these differences between Dremio and Salesforce without custom code.
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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 Dremio and Salesforce 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 Dremio and Salesforce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–Salesforce integration in-house.
SECURITY
Security teams love 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 386 integrations available for Dremio and Salesforce.
Popular · 8 of 386
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Dremio ⇄ Copper CRM -
Dremio ⇄ Creatio CRM -
Dremio ⇄ Drift -
Dremio ⇄ Folk CRM -
Salesforce ⇄ Materialize -
Salesforce ⇄ Rockset -
Salesforce ⇄ Starburst Enterprise -
Salesforce ⇄ StarRocks
No integrations match .
