Two-way sync
Changes in Apache Cassandra or Apollo.io instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra 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 Apache Cassandra, where it can be queried and joined like everything else.
Stacksync mirrors Contacts, Accounts, People (database records), Sequences from Apollo.io into Counters, Keyspaces, Tables, Partitions and Rows in Apache Cassandra 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.
Field and stage updates in Apollo.io arrive as row changes in Apache Cassandra, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Apollo.io become tables in Apache Cassandra you can join with application data directly.
Signup, usage, or lifecycle changes written to Apache Cassandra sync onto the matching records in Apollo.io, giving go-to-market teams live product context.
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.
| Apache Cassandra objects | Apollo.io objects | |
|---|---|---|
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Sequences Outreach cadences (emailer campaigns in the API); enrollment status is read to track which contacts are being worked. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Apollo.io connection.
Changes in Apache Cassandra or Apollo.io instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra 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 Apache Cassandra or Apollo.io record.
Track your Apache Cassandra ⇄ Apollo.io sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra and Apollo.io: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Materialized Views and Secondary Indexes), 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 Apache Cassandra and Apollo.io connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Apollo.io integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Apollo.io. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. On Apollo.io: Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Apollo.io side: Contacts, Accounts, People (database records), Sequences, plus custom fields where Apollo.io exposes them. On the Apache Cassandra side: Counters, Keyspaces, Tables, Partitions and Rows. 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.
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 Apache Cassandra and Apollo.io.