Kyvos Semantic Layer Features

Reports interface for standard and self-service reports is intuitive and easy to use. 65 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

Based on 60 Kyvos Semantic Layer reviews. Requires a minimal number of steps/clicks to answer business question.

Offers a variety of attractive graph and chart formats. 58 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

Based on 54 Kyvos Semantic Layer reviews. Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards This feature was mentioned in 58 Kyvos Semantic Layer reviews.

Using formulas based on existing data elements, users can create and calculate new field values. 54 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

Based on 52 Kyvos Semantic Layer reviews. Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights. This feature was mentioned in 54 Kyvos Semantic Layer reviews.

Ability to search global data set to find and discover data. 51 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms. 44 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

As reported in 44 Kyvos Semantic Layer reviews. Tool automatically suggests data types, schemas and hierarchies.

Analyze current and historical trends to make predictions about future events. 46 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

As reported in 44 Kyvos Semantic Layer reviews. Communicate complex information clearly and effectively through advanced graphical techniques.

Ability to handle large, complex, and/or siloed data sets. 45 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

Converts data formats of source data into the format required for the reporting system without mistakes. 24 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

Ability to (re)structure data in a manner that allows extracting insights fast and accurate. This feature was mentioned in 25 Kyvos Semantic Layer reviews.

Based on 24 Kyvos Semantic Layer reviews. Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications. This feature was mentioned in 23 Kyvos Semantic Layer reviews.

Collects, stores, and organizes massive, unstructured data in real time

Facilitates the disseminating of collected big data throughout parallel computing clusters

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Hadoop

Facilitates solution to run on and scale to a large number of machines and systems

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Aligns processing and distribution workflows on top of Apache Hadoop

Moves big data collection and processing to the cloud

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems

Facilitates analysis of high-volume, real-time data.

Allows user to query data through query languages like SQL.

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Spark

Integrates data from multiple external databases.

Facilitates the dissemination of collected big data throughout parallel computing clusters.

Processes data and represents interpretations in a variety of graphic formats.

Strings together specific functions and datasets to automate analytics iterations.

Isolates certain datasets and facilitates management of data access.

Allows big data tool to run and record data within external applications.

Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications. 45 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data 38 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

As reported in 42 Kyvos Semantic Layer reviews. Using formulas based on existing data elements, users can create and calculate new field values

As reported in 39 Kyvos Semantic Layer reviews. Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Allows the user to combine data from multiple sources into a functioning dataset. 40 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

As reported in 39 Kyvos Semantic Layer reviews. Allows users to generate text based on a text prompt.

Based on 37 Kyvos Semantic Layer reviews. Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input This feature was mentioned in 12 Kyvos Semantic Layer reviews.

As reported in 13 Kyvos Semantic Layer reviews. Ability to break down and plan multi-step processes

Based on 11 Kyvos Semantic Layer reviews. Works across multiple software systems or databases

Based on 10 Kyvos Semantic Layer reviews. Improves performance based on feedback and experience

As reported in 12 Kyvos Semantic Layer reviews. Engages in human-like conversation for task delegation

Based on 11 Kyvos Semantic Layer reviews. Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives This feature was mentioned in 13 Kyvos Semantic Layer reviews.

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces This feature was mentioned in 10 Kyvos Semantic Layer reviews.

Enables automated report generation and scheduled delivery to stakeholders This feature was mentioned in 10 Kyvos Semantic Layer reviews.

Allows dashboards and analytics to be embedded into external apps with branding flexibility This feature was mentioned in 12 Kyvos Semantic Layer reviews.

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications 10 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

As reported in 10 Kyvos Semantic Layer reviews. Efficiently processes large datasets with minimal lag and ensures high performance under load

Maintains performance and uptime during high traffic from multiple users or teams This feature was mentioned in 11 Kyvos Semantic Layer reviews.

Supports semantic data layers, role-based access controls, and metadata governance

Integrates with Jupyter, Python, or R for custom analytics and modeling 10 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

Provides native tools for statistical analysis, forecasting, and trend prediction 10 reviewers of Kyvos Semantic Layer have provided feedback on this feature.

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Allows users to query data and build reports using conversational or plain language

Detects and notifies users about KPI anomalies or significant metric changes in real time

Recommends next questions, analyses, or exploration paths using autonomous AI agents

Learns from historical user interactions to improve and personalize query results over time

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying

Supports deployment across multiple environments or cloud platforms with consistent configuration management

Provides APIs and SDKs for seamless integration with orchestration, governance, and custom data tools

Allows querying and joining data across multiple warehouses and lakes without requiring data replication

Automatically adapts to schema or metadata changes in connected data sources while maintaining consistency

Enables users to create derived or calculated metrics based on governed data definitions

Provides built-in support for time-based calculations such as YoY, MoM, and rolling averages

Enhances performance by using intelligent caching, precomputation, and acceleration techniques

Automatically tunes and optimizes queries based on data size, frequency, and usage patterns

Provides visibility and control over how AI systems or automated agents interact with the semantic layer

Tracks how governed metrics and datasets are used in AI/ML training to ensure transparency, compliance, and clear data traceability

Provides version control for semantic models and metrics, with change tracking, rollback, and impact analysis to see how updates affect downstream data or reports

Allows users or AI assistants to explore and query metrics through natural language prompts

Enables AI and machine learning systems to directly consume standardized, governed metrics and logic

Suggests relevant metrics, joins, or insights based on context and historical usage patterns

Enables autonomous AI agents to compose, execute, and refine analytical queries via the semantic layer

Provides semantic context graphs that help AI agents understand data relationships and business logic

Allows semantic agents to trigger automated actions such as data refreshes, alerts, or report generation