This section provides an overview of the key features of Kyvos, summarizing its core capabilities and functionality.

Simple and powerful semantic model design

• Process intelligent aggregates with Machine learning-powered Smart Recommendation Engine.

• Support for recursive, unbalanced, ragged, and alternate hierarchies, as well as custom rollups.

• Support for scheduled and automated incremental semantic model processes.

• Automated sliding window allows for data truncation as part of the process.

• Intelligent resource monitoring helps optimize resource usage.

Optimized performance at a massive scale

• Scale-out querying capabilities to support multiple groups and users.

• Segmentation feature enables dedicated query engines for mission-critical functions.

• Superior performance with advanced caching features such as auto-population, purge, and repopulation.

• Intelligent multi-level caching based on query patterns and usage.

• Allows querying and drilling through raw data using Presto and Hive.

Semantic Layer with LangChain Connectivity

• Natural language business summaries

• Query playground to ask questions about your data and get answers in natural language

• Key business calculations designer allows inputs in natural language to generate complex business calculations and formulas

Secure framework

• Support for role, group, and user-based access control.

• User-defined row and column level security for custom business requirements.

• Provision to store passwords in AWS Secrets Manager.

• Integrates with enterprise security systems like Knox, Ranger, and Sentry, as well as custom APIs.

• Kerberos authentication and support for multiple LDAP accounts.

• TLS encryption with Mutual Authentication for all internal communication and authentication-related information throughout the cluster.

• Granular access control at the object level with column and row-level security processed into the system.

• Integration with enterprise single sign-on tools such as SiteMinder and Okta.

Support for all modern data platforms

• Installs on clusters located in the cloud, on-premise, or in hybrid environments.

• Native support for all cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.

• Support for Cloud Data Warehouses such as Snowflake, Amazon Redshift, and Google BigQuery.

• Support for the latest releases of Cloudera, MapR, as well as Apache Hadoop.

Easy to deploy and manage

• Scheduled up- and down-sizing of resources in cloud deployments.

• No data movement or additional infrastructure costs as Kyvos leverages cloud storage or on-premise platforms for storing semantic models.

• Automated deployment of the Kyvos Analytical Server and Query Engines from a single edge node using Kyvos Manager.

• Built-in monitoring and management of all Kyvos components from a single console.

• Wizard and template-based installation for AWS and Azure.

Kyvos Visualization tool

• Interactive multi-dimensional analytics on massive data.

• Slice and dice, drill-down, and explore data through interactive charts and dashboards using a rich set of visualizations.

• Create your own custom visualizations with D3 and our Custom Visualization Framework.

• Export worksheets, dashboards, and visualizations as an image, pdf, or a comma-separated file.

Support for Open APIs

MDX, DAX, SQL, REST, and Java APIs