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Kyvos Azure Marketplace Kyvos GCP Marketplace Kyvos Single Node Installation (Kyvos SNI)
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Earlier versions of Kyvos were having a dependency on external compute clusters (i.e. EMR, Databricks or Dataproc in cloud environments while Hadoop, CDH, HDP cluster in On Premises).
With Kyvos Modern Architecture, users can now use the Kyvos Native compute engine for semantic model processing.
With these changes, Kyvos has eliminated the dependency on traditional spark jobs and external compute engines such as Databricks, Dataproc, or EMR for processing semantic models and building aggregates.
Following are the supported Native compute options:
Shared Query Engine: In this mode, the Query Engines serve queries as well as handle the semantic model processing. This dual role is named SHARED as the same process performs both activities.
Dedicated Compute Server: In this mode, the semantic model is processed via dedicated service.
For cloud-based deployments, the semantic model is processed using Kubernetes (K8S) cluster-based nodes.
For On Premises environments, semantic models are processed on dedicated nodes.
Deployment Method | Compute Type | AWS | AZURE | GCP | ON PREM |
Automated | External Compute | Yes (EMR / Databricks) | Yes (Databricks) | Yes (Dataproc) | Not Applicable |
Only Kyvos Native Compute (SHARED_QE) | Yes | Yes | Yes | ||
Only Kyvos Native Compute (K8S) | Yes | Yes | Yes | ||
Wizard | External Compute | Yes | Yes | Yes | Yes |
Only Kyvos Native Compute (SHARED_QE) | Not Available | Not Available | Not Available | Yes | |
Only Kyvos Native Compute (K8S) | Not Available | Not Available | Not Available | Not Applicable | |
Only Kyvos Native Compute (Dedicated Compute) | Not Applicable | Not Applicable | Not Applicable | Yes |
Choose the installation guide according to your environment.
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