squid enables the configurable export of any and all data as a single structured JSON. That includes references, relations, “backreferences” (a subset of “related lists”) and the various forms of M-to-N tables in the ServiceNow database.
The app comes with hundreds of predefined configurations making it truly plug-and-play. Easily customize the configurations further to meet your specific needs. This allows you to easily integrate any external data consumers, e.g. peripheral systems.
squid does all this in the most efficient way possible with the least impact on your ServiceNow production systems.
Pricing is based on the total amount of entities returned per request. Follow the 'Pricing' link to the right for details.
- Trial - Free - May be requested directly here and extended once.
- Development - $500 / Month - Unlimited entities on non-prod
- Small - $500 / Month - 5.000 entities per request
- Medium - $1.000 / Month - 50.000 entites per request
- Large - $2.000 / Month - 100.000 entities per request
- Unlimited - $4.000 / Month - Unlimited entities per request
Trial, Developement and Small licenses may be requested/purchased directly here by clicking the 'Buy'/'Try now' button. We suggest you start with one of these options.
For Medium, Large and Unlimited licenses contact sales@arc46.io.
Every installaton - regardless of the type - requires an additional license key (See the 'Pricing' link as to why this is neccessary). Please contact sales@arc46.io to request a license key once your trial request or purchase has gone through.
Structured JSON
Access all data and context (references, relations, joins) in your ServiceNow instance as structured JSON.
Rapid Deployment
Can be installed and operational within 90 minutes.
Flexible Configurations
Choose from hundreds of predefined configurations or easily create custom ones to suit your specific data requirements.
Real-Time Data Access
Provides on-demand real-time data with response times as quick as 50 milliseconds, making it suitable for the integration of peripheral systems.
Optimized Performance
Extract millions of data entities with context with minimal SQL queries and negligible impact on memory or performance.