Two-way sync
Changes in Cloudera Data Platform or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Sysaid in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Whatever Sysaid is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Assets, Configuration Items (CIs), Companies, Custom Fields from Sysaid into tables in Cloudera Data Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Cloudera Data Platform can also be written back into fields in Sysaid where the tool can use them.
Segments, scores, or reference values computed in Cloudera Data Platform sync back onto records in Sysaid, putting analysis where the work happens.
A continuously synced copy in Cloudera Data Platform preserves a queryable record even as data ages out of Sysaid or gets changed inside it.
Records and events from Sysaid land in Cloudera Data Platform as queryable tables, current within seconds and ready to join with the rest of the warehouse.
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.
| Cloudera Data Platform objects | Sysaid objects | How this pairing syncs | |
|---|---|---|---|
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Problems Root-cause records that group related incidents; read and written to keep problem management aligned with an external ITSM or reporting store. | Hive tables is specific to Cloudera Data Platform and Problems to Sysaid — each maps to any object or custom field on the other side. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Changes Change records (type=change) with approval and scheduling fields; synced two-way to drive CAB review and deployment workflows. | Impala tables is specific to Cloudera Data Platform and Changes to Sysaid — each maps to any object or custom field on the other side. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Users End users and admins on the /users endpoint; synced with an HRIS or identity source to keep requester and agent records current. | Kudu tables is specific to Cloudera Data Platform and Users to Sysaid — each maps to any object or custom field on the other side. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Assets Hardware and software inventory; read out to a warehouse or written from a discovery or CMDB source of truth. | Iceberg tables is specific to Cloudera Data Platform and Assets to Sysaid — each maps to any object or custom field on the other side. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Configuration Items (CIs) CMDB entries and their relationships; synced with an external CMDB or asset database for one inventory view. | Views is specific to Cloudera Data Platform and Configuration Items (CIs) to Sysaid — each maps to any object or custom field on the other side. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Companies Customer and department organizations that scope tickets and users; mapped to Accounts in a CRM or org tables in a database. | Partitions is specific to Cloudera Data Platform and Companies to Sysaid — 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.
DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.
DeliveryEach detected change is written to Sysaid through its API, with automatic retries and rate-limit backoff.
DetectionSysaid notifies Stacksync of record changes through webhook events. Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature.
DeliveryEach detected change is applied to Cloudera Data Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Sysaid connection.
Changes in Cloudera Data Platform or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Sysaid data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Cloudera Data Platform or Sysaid record.
Track your Cloudera Data Platform ⇄ Sysaid sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Sysaid.
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 Cloudera Data Platform and Sysaid 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 Cloudera Data Platform and Sysaid 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 Cloudera Data Platform and Sysaid: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Hive tables and Impala tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. On Sysaid: Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature; otherwise poll the /sr endpoint filtering on update_time.gte. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Sysaid side: Assets, Configuration Items (CIs), Companies, Custom Fields, plus custom fields where Sysaid exposes them. On the Cloudera Data Platform side: Iceberg tables, Views, Partitions, Object store / HDFS files. 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.
Common patterns for Cloudera Data Platform and Sysaid: Where Sysaid accepts updates: operational write-back; History that outlives the tool; Analytics on Sysaid's data. Segments, scores, or reference values computed in Cloudera Data Platform sync back onto records in Sysaid, putting analysis where the work happens.
Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. Sysaid: REST API (JSON). Authentication: Client-credentials app keys: an application key (clientId/clientSecret) is created via /v1/application-keys, then exchanged at /v1/access-tokens for a bearer token (default 24h, up to 30 days); an x-sysaid-accountid header scopes the account. Legacy V0 uses session-cookie login. Stacksync manages authentication, retries, and rate limits on both sides.
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 441 integrations available for Cloudera Data Platform and Sysaid.