Real-time
Two-way sync
Changes in Apollo.io or Dremio instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Data warehouse
Apollo.io to Dremio integration — real-time, two-way sync
Keep Apollo.io and Dremio 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
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apollo.io and Dremio
Sync Apollo.io 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. Custom fields, Contacts, Accounts, People (database records) from Apollo.io land in Dremio as live tables, updated within seconds, and columns computed in Dremio write back to fields in Apollo.io. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Common use cases
- Land sequence enrollment status and outcomes in a warehouse for outbound performance reporting.
- Deduplicate contacts across Apollo and the CRM by syncing on email as the match key.
- Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
- Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
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 Apollo.io 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 Apollo.io, where the people working accounts actually see them.
What you can sync between Apollo.io and Dremio
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.
| Apollo.io objects | Dremio objects | |
|---|---|---|
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | |
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | |
| Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | |
| Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | |
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Spaces and folders Namespaces that organize virtual datasets and govern access. | |
| Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | Reflections Materialized accelerations that make repeated extraction queries cheaper. |
What ships with Apollo.io ⇄ Dremio
Connect Apollo.io and Dremio for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Dremio connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apollo.io or Dremio 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 Apollo.io or Dremio record.
Observability
Monitoring
Track your Apollo.io ⇄ Dremio sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Apollo.io and Dremio.
How the Apollo.io and Dremio connectors work
Apollo.io
- Integration surface
- REST API
- Authentication
- API key (passed in request headers); master keys unlock account-wide endpoints
- Change detection
- Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream
- Capabilities
- read · write
- Rate limits
- Rate limits and enrichment credits vary by plan; bulk endpoints are throttled separately from single-record calls
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
How it works
How to connect Apollo.io to Dremio — 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 Apollo.io and Dremio with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apollo.io
connected
Dremio
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apollo.io and Dremio 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 · Apollo.io ⇄ DremioCustomers 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.
Apollo.io DremioCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apollo.io and Dremio integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apollo.io and Dremio: authenticate both systems, choose the objects to sync (such as Apollo.io's Accounts and People (database records)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Apollo.io side: Custom fields, Contacts, Accounts, People (database records), plus custom fields where Apollo.io exposes them. On the Dremio side: Sources, Physical datasets, Virtual datasets (views), Apache Iceberg tables. 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 Apollo.io and Dremio: 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.
-
Apollo.io: REST API. Authentication: API key (passed in request headers); master keys unlock account-wide endpoints. Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. Stacksync manages authentication, retries, and rate limits on both sides.
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Apollo.io: Apollo distinguishes between people in its global database and contacts saved to your account; only saved contacts carry your custom fields and sequence history. 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 Apollo.io and Dremio without custom code.
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 Apollo.io and Dremio.
Popular · 8 of 386
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Apollo.io ⇄ Rockset -
Apollo.io ⇄ Starburst Enterprise -
Apollo.io ⇄ StarRocks -
Apollo.io ⇄ Teradata Vantage -
Dremio ⇄ Vtiger CRM -
Dremio ⇄ Zoho SalesIQ -
Dremio ⇄ ZoomInfo -
Dremio ⇄ Salesforce
No integrations match .
