Two-way sync
Changes in Apache Cassandra or Customer.io instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Customer.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.
Engineers integrate with tools like Customer.io through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Apache Cassandra.
Stacksync mirrors People, Objects, Events, Segments from Customer.io into Tables, Partitions and Rows, Materialized Views, Secondary Indexes in Apache Cassandra and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Customer.io, so the tool and the database never disagree.
Records from Customer.io are ordinary rows in Apache Cassandra; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Apache Cassandra and Stacksync propagates the change into Customer.io, replacing custom integration code.
Updates in Customer.io arrive as row changes in Apache Cassandra, so triggers, jobs, and services can respond in near real time.
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 | Customer.io objects | |
|---|---|---|
| Collections List, set, and map columns handled with type-aware field mapping. | Newsletters Recurring email sends with performance metrics available for reporting syncs. | |
| Counters Increment-only counter columns, usually read-only in syncs. | People Profiles with attributes, matched on identifiers like id or email; the main write target of data syncs. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Objects Non-person entities such as accounts or companies, related to people for account-level messaging. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Events Behavioral events sent via the Track API that trigger campaigns. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Segments Attribute- or event-based groups; data syncs feed the attributes segments evaluate. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Campaigns Automated workflows whose membership and metrics can be read via the App API. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Customer.io connection.
Changes in Apache Cassandra or Customer.io instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Customer.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 Customer.io record.
Track your Apache Cassandra ⇄ Customer.io sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Customer.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 Customer.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 Customer.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 Customer.io: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Collections and Counters), map fields visually, and changes propagate both ways in milliseconds — no code required.
Customer.io: Beyond people, Customer.io supports non-person objects (for example accounts) with typed relationships to people, enabling account-based messaging logic. Apache Cassandra: Consistency is tunable per operation (for example ONE, QUORUM, ALL), letting syncs trade latency against read/write guarantees. Stacksync's field mapping accounts for these differences between Apache Cassandra and Customer.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 Apache Cassandra and Customer.io records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Cassandra and Customer.io connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Customer.io integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Customer.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 Customer.io: Reporting webhooks push message and delivery events; person attribute changes are not streamed and require source-side detection. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Customer.io.