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

Yes. Stacksync provides a managed, real-time two-way integration between Apollo.io and Elasticsearch: authenticate both systems, choose the objects to sync (such as Apollo.io's Sequences and Deals (Opportunities)), map fields visually, and changes propagate both ways in milliseconds — no code required.

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. Elasticsearch: Writes are addressed by document _id, so upserts map directly onto the index API, and the _bulk endpoint batches many operations in a single request. Stacksync's field mapping accounts for these differences between Apollo.io and Elasticsearch 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 Apollo.io and Elasticsearch records are not retained after a sync operation.

Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apollo.io and Elasticsearch connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apollo.io–Elasticsearch integration in-house.

Yes — Stacksync ships production-grade connectors for both Apollo.io and Elasticsearch. 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 Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.