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CRM ⇄ Database

Apollo.io to IBM Db2 integration — real-time, two-way sync

Keep Apollo.io and IBM Db2 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apollo.io and IBM Db2

Treat Apollo.io like part of your database: its records live in IBM Db2 as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in IBM Db2, where it can be queried and joined like everything else.

Stacksync mirrors Custom fields, Contacts, Accounts, People (database records) from Apollo.io into Tablespaces, Databases, Schemas, Tables in IBM Db2 with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Apollo.io with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • 01 Land sequence enrollment status and outcomes in a warehouse for outbound performance reporting.
  • 02 Deduplicate contacts across Apollo and the CRM by syncing on email as the match key.
  • 03 Keep reference and master data aligned between Db2 and newer cloud databases during modernization projects.
  • 04 Feed changes captured from Db2 logs into downstream event pipelines.

Common sync patterns

Trigger workflows from CRM changes

Field and stage updates in Apollo.io arrive as row changes in IBM Db2, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Apollo.io become tables in IBM Db2 you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to IBM Db2 sync onto the matching records in Apollo.io, giving go-to-market teams live product context.

What you can sync between Apollo.io and IBM Db2

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 IBM Db2 objects How this pairing syncs
Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. Sequences ID generation relevant when external systems insert rows. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. Views Read-only projections often used to expose curated slices to a sync. Deals (Opportunities) is specific to Apollo.io and Views to IBM Db2 — each maps to any object or custom field on the other side.
Tasks and calls Rep activity records synced for activity reporting and coaching workflows. Indexes Support fast key lookups on sync match columns. Tasks and calls is specific to Apollo.io and Indexes to IBM Db2 — each maps to any object or custom field on the other side.
Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. Stored Procedures Existing business logic sometimes invoked as part of write paths. Custom fields is specific to Apollo.io and Stored Procedures to IBM Db2 — 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. Tablespaces Physical storage layout that operators consider when adding synced tables. Contacts is specific to Apollo.io and Tablespaces to IBM Db2 — each maps to any object or custom field on the other side.
Accounts Company records with firmographic attributes, matched to CRM accounts during sync. Databases The connection target; each database holds the schemas a sync addresses. Accounts is specific to Apollo.io and Databases to IBM Db2 — each maps to any object or custom field on the other side.

How changes propagate between Apollo.io and IBM Db2

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 IBM Db2 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 applied to IBM Db2 as a row-level write, with types converted between the two schemas.

IBM Db2 Apollo.io Sub-second propagation

DetectionChanges in IBM Db2 are captured at the source via change data capture — no polling loop against its API. Log-based CDC through IBM's replication tooling where licensed.

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.
  • IBM Db2: No API rate limits; throughput is bounded by instance resources and workload management settings.
What ships with Apollo.io ⇄ IBM Db2

Connect Apollo.io and IBM Db2 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–IBM Db2 connection.

Real-time

Two-way sync

Changes in Apollo.io or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apollo.io or IBM Db2 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 IBM Db2 record.

Observability

Monitoring

Track your Apollo.io ⇄ IBM Db2 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 IBM Db2.

How the Apollo.io and IBM Db2 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

IBM Db2

Integration surface
SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions
Authentication
Database credentials, typically backed by OS or LDAP authentication
Change detection
Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by instance resources and workload management settings
How it works

How to connect Apollo.io to IBM Db2 — 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.

  1. 01

    Connect your apps

    Authenticate Apollo.io and IBM Db2 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apollo.io connected
    IBM Db2 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apollo.io and IBM Db2 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apollo.io ⇄ IBM Db2
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apollo.io IBM Db2
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apollo.io and IBM Db2 integration FAQ

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.

Learn more about security
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→ 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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 356 integrations available for Apollo.io and IBM Db2.

Popular · 4 of 356
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