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Data warehouse ⇄ Business productivity

BigQuery to Sysaid integration — real-time, two-way sync

Keep BigQuery 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect BigQuery and Sysaid

Get the data locked inside Sysaid into BigQuery as live tables, and send results back where Sysaid can use them, without writing a pipeline.

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 Users, Assets, Configuration Items (CIs), Companies from Sysaid into tables in BigQuery continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in BigQuery can also be written back into fields in Sysaid where the tool can use them.

Common use cases

  • 01 Two-way sync Incidents and Service Requests with a Postgres database so on-call and internal apps read and update tickets in SQL while agents keep working in SysAid.
  • 02 Create SysAid Incidents from monitoring or error-tracking alerts, then write status and resolution back so both systems stay aligned.
  • 03 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • 04 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources

Common sync patterns

Where Sysaid accepts updates: operational write-back

Segments, scores, or reference values computed in BigQuery sync back onto records in Sysaid, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in BigQuery preserves a queryable record even as data ages out of Sysaid or gets changed inside it.

Analytics on Sysaid's data

Records and events from Sysaid land in BigQuery as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between BigQuery and Sysaid

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.

BigQuery objects Sysaid objects How this pairing syncs
Clustered tables Supported; clustering is transparent to the sync. 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. Clustered tables is specific to BigQuery and Service Requests to Sysaid — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Problems Root-cause records that group related incidents; read and written to keep problem management aligned with an external ITSM or reporting store. Datasets is specific to BigQuery and Problems to Sysaid — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Changes Change records (type=change) with approval and scheduling fields; synced two-way to drive CAB review and deployment workflows. Projects is specific to BigQuery and Changes to Sysaid — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Users End users and admins on the /users endpoint; synced with an HRIS or identity source to keep requester and agent records current. Tables is specific to BigQuery and Users to Sysaid — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Assets Hardware and software inventory; read out to a warehouse or written from a discovery or CMDB source of truth. Partitioned tables is specific to BigQuery and Assets to Sysaid — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Sysaid

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.

BigQuery Sysaid Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to Sysaid through its API, with automatic retries and rate-limit backoff.

Sysaid BigQuery Sub-second propagation

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 BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • Sysaid: Requests are throttled per the X-RateLimit-Limit / -Remaining / -Reset headers; list calls are paginated with a limit parameter and each org is capped at 100 application keys.
What ships with BigQuery ⇄ Sysaid

Connect BigQuery and Sysaid for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Sysaid connection.

Real-time

Two-way sync

Changes in BigQuery or Sysaid instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Sysaid data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single BigQuery or Sysaid record.

Observability

Monitoring

Track your BigQuery ⇄ Sysaid sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Sysaid.

How the BigQuery and Sysaid connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

Sysaid

Integration surface
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.
Change detection
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.
Capabilities
read · write · webhooks
Rate limits
Requests are throttled per the X-RateLimit-Limit / -Remaining / -Reset headers; list calls are paginated with a limit parameter and each org is capped at 100 application keys.
How it works

How to connect BigQuery to Sysaid — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate BigQuery 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BigQuery connected
    Sysaid connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BigQuery ⇄ Sysaid
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    BigQuery Sysaid
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and Sysaid integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 547 integrations available for BigQuery and Sysaid.

Popular · 8 of 547
All BigQuery integrations All Sysaid integrations Browse all integrations
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