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Amorphic Data Platform vs ServiceNow Workflow Data Fabric

Amorphic Data Platform

cloudwick.com

ServiceNow Workflow Data Fabric

servicenow.com

Side by side

FigureAmorphic Data PlatformServiceNow Workflow Data Fabric
Price from——
Free plan——
Free trial——
Open source——
WebYesYes
APIYesYes
Self-hostedYes—
Plans published12
Spec score · Data Fabric Software7.6 (#10)7.4 (#15)
CompanyCloudwick says it was founded in 2010 and lists its headquarters as Silicon Valley, USA, at 39899 Balentine Drive, Suite 218, Newark, California.ServiceNow is headquartered at 2225 Lawson Lane, Santa Clara, California 95054.
Founded20102004
HeadquartersNewark, California, United StatesSanta Clara, California, USA
IntegrationsThe platform lists Amazon SageMaker, Bedrock, OpenSearch, and Kendra integrations, plus zero-ETL connectors for AI notebooks and BI tools.Integration Hub Enterprise connects API-based systems to ServiceNow with 220+ prebuilt spokes.
SupportCloudwick offers professional and managed services, hands-on training, and a support portal for technical updates and communication.ServiceNow offers product documentation, community resources, implementation services, and implementation partners for getting started.

Plans

Amorphic Data Platform

  • Amorphic Data PlatformPriced on request

Amorphic Data Platform pricing →

ServiceNow Workflow Data Fabric

  • Workflow Data Fabric AdvancedPriced on request
  • Workflow Data Fabric FoundationPriced on request

ServiceNow Workflow Data Fabric pricing →

In their own words

Amorphic Data Platform

Amorphic Data Platform is a cloud-native data and automation platform delivered as a service through AWS. It combines ingestion, transformation, governance, storage, and AI capabilities, and runs directly in a customer’s AWS account. Cloudwick says customer data, metadata, and encryption keys stay under the customer’s control. The platform combines information from teams, systems, and formats, using entity resolution to create unified views of people, cases, or other entities. Automated cataloging, metadata tags, lineage tracking, and role-based dataset access support organization and governance. Pipelines can begin with files, streams, or APIs. AI functions include role-based access, PII controls, document processing, and vector indexing for retrieval-augmented generation and question answering. Integrations include Amazon SageMaker, Bedrock, OpenSearch, and Kendra, plus zero-ETL links for AI notebooks and business intelligence tools. Version 3.0 adds CI/CD, column-level versioned lineage, role-based views, templates, and centralized source management. Pricing is on request.

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ServiceNow Workflow Data Fabric

ServiceNow Workflow Data Fabric has no write-up on Specifiction yet; its figures are above.

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