Button navigation
Enable drill-down transitions in the Dashboard Designer and embedded dashboards, allowing filter parameters to be transferred between dashboards via embedding, URL linking, and widget navigation.
Enable drill-down transitions in the Dashboard Designer and embedded dashboards, allowing filter parameters to be transferred between dashboards via embedding, URL linking, and widget navigation.
Improve dashboards with better visualization options, optimized pivot tables, and streamlined custom widget creation.
Enhance overall performance by optimizing Designer functionalities and reducing operations during embedding for quicker dashboard load times.
Integrate Azure Bus Service to handle dead-letter queues during refresh operations in data sources.
Create separate connection entities for data sources to enhance management and organization.
Provide support for one-to-many and many-to-many relationships within data source tables.
Develop a utility for each release to simplify the upgrade process, eliminating the need to upgrade DLLs for every update.
Implement a connector for Dremio to facilitate data integration.
Introduce JDBC support for enhanced connectivity options.
Implement automation for test bed environments to enhance testing efficiency.
Expand destination support to include Redis and various cloud storage options, such as S3, Azure Blob, and Azure One Lake.
Design a user interface using a directed acyclic graph (DAG) approach.
Enhance data services by introducing API support for data connectors while adding capabilities for data catching, data modeling, and data cataloging.
Implement user-based access control for data pipeline management.
Enable support for file storage using Amazon S3 in Bold BI server and IDP modules.
Enable support for predefined localization files to enhance global usability in the server and IDP.
Simplify JavaScript embedding, ensure iframe feature parity, improve clarity in samples, and implement folder navigation between dashboards based on user permissions.
Launch an intuitive design canvas for creating and designing AI-powered widgets.
Enhance the Bold Data Hub with AI-driven ETL transformations, improved data processing, Bold BI expression language support, and AI-driven explanations for deeper dashboard insights.
Utilize AI to streamline ETL processes, offering automation and optimization suggestions.
Deploy tools specifically designed to aid admins in system management and troubleshooting.
Implement AI notifications to provide real-time alerts regarding significant data changes or trends.
Generate a comprehensive dashboard report using the provided data, leveraging natural language processing (NLP) to interpret and present metrics automatically.
We completed the transition to .NET version 8.0 for the designer, data sources, Bold Data Hub, embedding, server, and IDP modules.
We provided a fixed layout for improved dashboard structuring.
We resolved style conflict issues related to JS 2 in dashboard widgets.
We provided anonymous user support for the dashboard designer and embedding with configuration in designer preview, group-based claims, and detailed audit logs.
We introduced support for MongoDB Atlas.
We addressed usability concerns in Bold BI through the implementation of an extract engine option for the Bold Data Hub.
Bold BI transitioned from key-based incremental replication to log-based replication to align with industry standards.
We released support for the Oracle database in the Bold BI server and IDP.
We enabled on-premises support with a bring-your-own key (BYOK) model for OpenAI and Azure OpenAI.
We enhanced AI capabilities by providing summarization functionality for quick insights into widgets and entire dashboards.
We implemented natural language responses in the AI Assistant chat to enhance user interaction.
Embedded Analytics.
Simplified for Any App, Anywhere.
Company
Getting Started
Solutions
Resources
Alternatives
Embedded Analytics.
Simplified for Any App, Anywhere.
Platform
Demo
Demo
Solutions
Resources
Solutions
Alternatives
Company