Two-way sync
Changes in Amazon RDS or Apollo.io instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and Apollo.io in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Amazon RDS, where it can be queried and joined like everything else.
Stacksync mirrors People (database records), Sequences, Deals (Opportunities), Tasks and calls from Apollo.io into Views, Columns, Primary and Unique Keys, Read Replicas in Amazon RDS 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.
Signup, usage, or lifecycle changes written to Amazon RDS sync onto the matching records in Apollo.io, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Apollo.io API, limits, and retries.
Field and stage updates in Apollo.io arrive as row changes in Amazon RDS, ready to drive jobs and notifications.
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.
| Amazon RDS objects | Apollo.io objects | |
|---|---|---|
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | |
| Schemas Namespaces within a database used to isolate synced tables. | Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | |
| Tables The core sync target; rows map to records in connected SaaS systems. | Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | |
| Views Read-side projections exposed to outbound syncs. | Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | |
| Columns Field-level mapping targets, typed per the underlying engine. | Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | |
| Primary and Unique Keys Match keys for idempotent upserts. | People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Apollo.io connection.
Changes in Amazon RDS or Apollo.io instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or Apollo.io data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon RDS or Apollo.io record.
Track your Amazon RDS ⇄ Apollo.io sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Apollo.io.
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 Amazon RDS and Apollo.io 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 Amazon RDS and Apollo.io 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 Amazon RDS and Apollo.io: authenticate both systems, choose the objects to sync (such as Amazon RDS's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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.
Common patterns for Amazon RDS and Apollo.io: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Amazon RDS sync onto the matching records in Apollo.io, giving go-to-market teams live product context.
Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. Apollo.io: REST API. Authentication: API key (passed in request headers); master keys unlock account-wide endpoints. Stacksync manages authentication, retries, and rate limits on both sides.
Apollo.io: Enrichment endpoints consume plan credits, so sync jobs that trigger enrichment have a cost dimension beyond rate limits. Amazon RDS: IAM database authentication can replace static passwords on supported engines, letting integrations authenticate with short-lived tokens. Stacksync's field mapping accounts for these differences between Amazon RDS and Apollo.io without custom code.
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 Amazon RDS and Apollo.io records are not retained after a sync operation.
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 Amazon RDS and Apollo.io.