Real-time
Two-way sync
Changes in Apollo.io or Splunk instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Analytics
Apollo.io to Splunk integration — real-time, two-way sync
Keep Apollo.io and Splunk 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 Apollo.io and Splunk
Put live Apollo.io data behind every dashboard and cohort in Splunk, and write the segments and scores Splunk computes back onto the Apollo.io record — one connection, not a nightly export.
Splunk turns data into dashboards, cohorts, and metrics; Apollo.io is where customers, contacts, deals, and activity actually live and change. The two meet wherever a number is really about a specific account, segment, or stage — yet most teams feed the CRM into analytics as a nightly extract or a hand-maintained connector, so the reporting lags the business and can't be sliced by the customers and segments that matter.
Stacksync syncs Custom fields, Contacts, Accounts, People (database records) from Apollo.io into Splunk field by field and within seconds, so every dashboard and cohort runs on current records instead of a stale copy. Because the connection runs both ways, the cohorts, scores, and metrics computed in Splunk write back to fields in Apollo.io, landing where the people working accounts can see them. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.
Common use cases
- 01 Ingest application, CRM, or database records into Splunk via the HTTP Event Collector so operational data lands alongside logs for correlation and dashboards.
- 02 Read and write KV Store collections to keep Splunk lookups — asset inventories, allow/deny lists, enrichment tables — in sync with an external source of truth in both directions.
- 03 Land sequence enrollment status and outcomes in a warehouse for outbound performance reporting.
- 04 Deduplicate contacts across Apollo and the CRM by syncing on email as the match key.
Common sync patterns
Where Apollo.io accepts updates: segments and scores back on the record
Cohorts, scores, and computed metrics from Splunk sync onto fields in Apollo.io, putting the analysis where reps and owners actually work the accounts.
One customer across analytics and CRM
The same account or person is keyed consistently in both systems, so a profile or row in Splunk lines up with the contact or account in Apollo.io.
A record that outlives edits in the CRM
A continuously synced copy of Apollo.io's records and activity in Splunk keeps a queryable history even as records change or age out of the CRM.
What you can sync between Apollo.io and Splunk
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 | Splunk objects | How this pairing syncs | |
|---|---|---|---|
| Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | HTTP Event Collector The write-in path: POST events and metrics to /services/collector (port 8088, or 443 on Splunk Cloud) authenticated with a per-input HEC token, so external records are indexed alongside logs for search and correlation. | Custom fields is specific to Apollo.io and HTTP Event Collector to Splunk — each maps to any object or custom field on the other side. | |
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Users and Roles Accounts at /services/authentication/users and role/capability definitions at /services/authorization/roles, with full CRUD; exported for access reviews or provisioned from an identity source of truth. | Contacts is specific to Apollo.io and Users and Roles to Splunk — each maps to any object or custom field on the other side. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Dashboards Simple XML dashboard and view definitions at /servicesNS/{owner}/{app}/data/ui/views; exported for backup and audit, or created and updated programmatically from version control. | Accounts is specific to Apollo.io and Dashboards to Splunk — each maps to any object or custom field on the other side. | |
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | Search Results SPL searches dispatched via POST /services/search/jobs return a search ID (SID); results are pulled from /services/search/jobs/{sid}/results once the job completes, or synchronously via oneshot/export mode. The primary read path for streaming indexed events out to a warehouse. | People (database records) is specific to Apollo.io and Search Results to Splunk — each maps to any object or custom field on the other side. | |
| Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | Saved Searches Scheduled searches, reports, and the definitions behind alerts at /services/saved/searches with full create, update, and delete. Read out for governance and coverage review, or provisioned and updated from a config source. | Sequences is specific to Apollo.io and Saved Searches to Splunk — each maps to any object or custom field on the other side. | |
| Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | Fired Alerts Triggered alert instances listed at /services/alerts/fired_alerts; alert configuration (conditions, schedule, actions) lives on the corresponding saved search. Landed in a database for alert-trend and detection-coverage reporting. | Deals (Opportunities) is specific to Apollo.io and Fired Alerts to Splunk — each maps to any object or custom field on the other side. |
How changes propagate between Apollo.io and Splunk
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.
Apollo.io Splunk Interval-based propagation
DetectionStacksync polls Apollo.io for changes on an incremental schedule, reading only records changed since the previous pass. Polling on updated-at timestamps.
DeliveryEach detected change is written to Splunk through its API, with automatic retries and rate-limit backoff.
Splunk Apollo.io Sub-second propagation
DetectionSplunk notifies Stacksync of record changes through webhook events. Time-range searches over indexed events (earliest/latest on _time or _indextime).
DeliveryEach detected change is written to Apollo.io through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Apollo.io: Rate limits and enrichment credits vary by plan; bulk endpoints are throttled separately from single-record calls.
- Splunk: The management REST API throttles through search-concurrency quotas — max concurrent searches per user and role, plus per-CPU historical search limits in limits.conf — rather than a fixed per-request rate; exceeding quota queues or blocks jobs. HEC has per-token and per-instance throughput limits, and Splunk Cloud adds ingestion and API limits on top.
What ships with Apollo.io ⇄ Splunk
Connect Apollo.io and Splunk for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Splunk connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apollo.io or Splunk 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 Splunk record.
Observability
Monitoring
Track your Apollo.io ⇄ Splunk 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 Splunk.
How the Apollo.io and Splunk 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
Splunk
- Integration surface
- REST API (management API + HTTP Event Collector)
- Authentication
- HTTP Basic (username/password), or a session key from POST /services/auth/login sent as Authorization: Splunk <key>, or a bearer authentication token (Authorization: Bearer <token>). The HTTP Event Collector uses its own per-input token (Authorization: Splunk <hec-token>). Management API defaults to port 8089; HEC to port 8088 (443 on Splunk Cloud).
- Change detection
- Time-range searches over indexed events (earliest/latest on _time or _indextime); events are immutable once indexed, so incremental extraction advances a time cursor rather than a modified-date CDC feed. Config objects such as saved searches and KV Store are polled; alerts can push via a saved-search webhook action.
- Capabilities
- read · write · webhooks
- Rate limits
- The management REST API throttles through search-concurrency quotas — max concurrent searches per user and role, plus per-CPU historical search limits in limits.conf — rather than a fixed per-request rate; exceeding quota queues or blocks jobs. HEC has per-token and per-instance throughput limits, and Splunk Cloud adds ingestion and API limits on top.
How it works
How to connect Apollo.io to Splunk — 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 Splunk 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
Splunk
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apollo.io and Splunk 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 ⇄ SplunkCustomers 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 SplunkCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apollo.io and Splunk integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Apollo.io and Splunk: authenticate both systems, choose the objects to sync (such as Apollo.io's Custom fields and Contacts), 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 Apollo.io and Splunk connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apollo.io–Splunk integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Apollo.io and Splunk. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Apollo.io: Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream. On Splunk: Time-range searches over indexed events (earliest/latest on _time or _indextime); events are immutable once indexed, so incremental extraction advances a time cursor rather than a modified-date CDC feed. Config objects such as saved searches and KV Store are polled; alerts can push via a saved-search webhook action. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Splunk side: KV Store Collections, Indexes, HTTP Event Collector, Users and Roles, plus custom fields where Splunk exposes them. On the Apollo.io side: Custom fields, Contacts, Accounts, People (database records). 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.
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
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 380 integrations available for Apollo.io and Splunk.
Popular · 7 of 380
-
Apollo.io ⇄ Tableau -
Apollo.io ⇄ Adobeanalytics -
Apollo.io ⇄ Pendo -
Splunk ⇄ Pipedrive -
Splunk ⇄ Zoho CRM -
Splunk ⇄ Shopify -
Splunk ⇄ Affinity
No integrations match .
