Two-way sync
Changes in Apache Cassandra or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and PagerDuty in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Apache Cassandra is where your application's durable data lives; PagerDuty is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Collections, Counters, Keyspaces, Tables in Apache Cassandra with Incidents, Services, Users, Teams in PagerDuty field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Records and events from PagerDuty arrive in Apache Cassandra as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in Apache Cassandra and Stacksync keeps PagerDuty current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in PagerDuty arrive as row changes in Apache Cassandra, and writes to Apache Cassandra propagate to PagerDuty within seconds, so triggers, jobs, and alerts fire without polling.
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 | PagerDuty objects | How this pairing syncs | |
|---|---|---|---|
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | On-Calls Computed view of who is on call now, derived from schedules and escalation policies; read-only, ideal for pushing current responders into other systems. | Secondary Indexes is specific to Apache Cassandra and On-Calls to PagerDuty — each maps to any object or custom field on the other side. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Notes and Log Entries Notes are writable to append context to an incident; log entries are a read-only record of every action taken on that incident. | User-Defined Types is specific to Apache Cassandra and Notes and Log Entries to PagerDuty — each maps to any object or custom field on the other side. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Incidents Core records with status of triggered, acknowledged, or resolved plus urgency and assignments; created, updated, and resolved two-way, with V3 webhooks firing on each transition. | Collections is specific to Apache Cassandra and Incidents to PagerDuty — each maps to any object or custom field on the other side. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Services Technical services that group incidents and hold integration keys; read and written two-way, with service.created, service.updated, and service.deleted webhook events. | Counters is specific to Apache Cassandra and Services to PagerDuty — each maps to any object or custom field on the other side. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Users Responders with contact methods and notification rules; provisioned and updated two-way to keep the on-call roster aligned with an HRIS or identity provider. | Keyspaces is specific to Apache Cassandra and Users to PagerDuty — each maps to any object or custom field on the other side. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. | Tables is specific to Apache Cassandra and Teams to PagerDuty — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.
DeliveryEach detected change is written to PagerDuty through its API, with automatic retries and rate-limit backoff.
DetectionPagerDuty notifies Stacksync of record changes through webhook events. V3 webhook subscriptions push incident.* and service.* events (triggered, acknowledged, escalated, resolved, created, updated).
DeliveryEach detected change is written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–PagerDuty connection.
Changes in Apache Cassandra or PagerDuty instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or PagerDuty 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 PagerDuty record.
Track your Apache Cassandra ⇄ PagerDuty sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and PagerDuty.
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 PagerDuty 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 PagerDuty 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 PagerDuty: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Secondary Indexes and User-Defined Types), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Apache Cassandra and PagerDuty: Land tool activity as queryable rows; One integration pattern instead of per-tool API code; React to changes on either side in near real time. Records and events from PagerDuty arrive in Apache Cassandra as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. PagerDuty: REST API v2 (plus Events API v2 for inbound alerts). Authentication: REST API token via the Authorization: Token header (account-level for full access or user-level scoped to the user's permissions), or OAuth 2.0 (Authorization Code / PKCE); the Events API v2 uses a per-service routing (integration) key. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Cassandra: Consistency is tunable per operation (for example ONE, QUORUM, ALL), letting syncs trade latency against read/write guarantees. PagerDuty: V3 webhook subscriptions are created per account and cover incident and service events; historical backfill still requires paginated REST reads with since/until. Stacksync's field mapping accounts for these differences between Apache Cassandra and PagerDuty 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 PagerDuty 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 PagerDuty connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–PagerDuty integration in-house.
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 309 integrations available for Apache Cassandra and PagerDuty.