Two-way sync
Changes in Snowflake or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Keep Snowflake 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 Service Requests, Problems, Changes, Users from Sysaid into tables in Snowflake continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Snowflake can also be written back into fields in Sysaid where the tool can use them.
Segments, scores, or reference values computed in Snowflake sync back onto records in Sysaid, putting analysis where the work happens.
A continuously synced copy in Snowflake preserves a queryable record even as data ages out of Sysaid or gets changed inside it.
Records and events from Sysaid land in Snowflake 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.
| Snowflake objects | Sysaid objects | How this pairing syncs | |
|---|---|---|---|
| Tasks Scheduled SQL used to transform synced data after it lands. | Assets Hardware and software inventory; read out to a warehouse or written from a discovery or CMDB source of truth. | Tasks is specific to Snowflake and Assets to Sysaid — each maps to any object or custom field on the other side. | |
| VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Configuration Items (CIs) CMDB entries and their relationships; synced with an external CMDB or asset database for one inventory view. | VARIANT Columns is specific to Snowflake and Configuration Items (CIs) to Sysaid — each maps to any object or custom field on the other side. | |
| Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | Companies Customer and department organizations that scope tickets and users; mapped to Accounts in a CRM or org tables in a database. | Virtual Warehouses is specific to Snowflake and Companies to Sysaid — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope which data a sync can touch. | Custom Fields Org-specific fields on service records, discoverable through the API so mappings can be generated without hardcoding names. | Databases is specific to Snowflake and Custom Fields to Sysaid — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to organize synced tables. | Incidents Break/fix tickets under /api/v1/sr with type=incident; created and updated two-way with status, priority, assignee, category, and SLA fields. | Schemas is specific to Snowflake and Incidents to Sysaid — each maps to any object or custom field on the other side. | |
| Tables The main landing and activation target for synced records. | Service Requests Catalog and help-desk requests on the same /sr endpoint (type=request); written or read so fulfillment can be driven from another system. | Tables is specific to Snowflake and Service Requests 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.
DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.
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 Snowflake as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Snowflake–Sysaid connection.
Changes in Snowflake or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Snowflake 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 Snowflake or Sysaid record.
Track your Snowflake ⇄ Sysaid sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Snowflake 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 Snowflake 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 Snowflake 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 Snowflake and Sysaid: authenticate both systems, choose the objects to sync (such as Snowflake's Tasks and VARIANT Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
Snowflake: SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API. Authentication: Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles. 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.
Sysaid: List endpoints are paginated with a limit parameter, so full syncs must page through large result sets rather than pulling everything in one call. Snowflake: Streams expose row-level change records on a table, so downstream consumers can process only deltas rather than rescanning full tables. Stacksync's field mapping accounts for these differences between Snowflake and Sysaid 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 Snowflake and Sysaid records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Snowflake and Sysaid connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Snowflake–Sysaid integration in-house.
Yes — Stacksync ships production-grade connectors for both Snowflake and Sysaid. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 552 integrations available for Snowflake and Sysaid.