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You can install and deploy Kyvos on AWS, Azure, GCP, and on-premises.
For Kyvos deployment:
Kyvos relies on external compute clusters, such as EMR, Databricks, or Dataproc in cloud environments, and Hadoop, CDH, and HDP clusters on-premises.
From Kyvos 2024.3 onwards, Kyvos has introduced Modern Architecture, in which you can select the Kyvos Native compute engine to process semantic models. This advancement has removed the need for traditional Spark jobs and external compute engines like Databricks, Dataproc, or EMR when processing semantic models and constructing aggregates. Additionally, this dependency is eliminated related to the external compute cluster, such as operating costs and security concerns.
The 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 a 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.
In the table below, the hash (#) and asterisk (*) symbols are used to:
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