ASK BIRD Core Features
Data Integration
- Data Ingestion with 100+ Connectors: BIRD supports integration from over 100 different sources, enabling seamless data ingestion from a variety of systems and ensuring comprehensive data coverage.
- Real-time Streaming Data: BIRD processes and analyzes data as it’s generated, making it ideal for applications requiring up-to-date information and insights.
- Complex Data Modeling:
BIRD’s advanced data modeling capabilities allow users to handle and integrate complex data structures from multiple sources—whether structured, semi-structured, or unstructured.
Data Visualization
User-Customizable Visualizations & Reports
Create and customize visual representations of data, such as charts, graphs, and dashboards, tailored to specific needs and preferences.User Collaboration – Scheduling/Sharing Storyboards
Facilitate teamwork by scheduling and sharing interactive storyboards, making collaborative data analysis and presentation easier.Alerts and Notifications
Automated alerts and notifications keep users informed of important changes and updates, enabling prompt responses to new information.
Predictive Analytics
Smart Insights
BIRD uses advanced predictive analytics to deliver intelligent insights and forecasts, helping users make data-driven decisions by predicting future trends and behaviors.ML Studio/AutoML
The integrated machine learning studio allows users to develop and deploy machine learning models with minimal manual effort. AutoML automates the model-building process, making it accessible to users with varying expertise.Smart Search (NLP)
Using natural language processing (NLP), this feature enables smart searches by understanding and processing natural language queries, making search functionality more intuitive and user-friendly.
Deployment
On-Prem/Cloud Deployment
BIRD offers flexible deployment options, allowing users to choose between on-premises installations or cloud-based solutions based on their infrastructure and preferences.Docker/Kubernetes
Support for Docker and Kubernetes enables containerization and orchestration, enhancing scalability, portability, and platform management.Custom Solution Extensibility (Business Apps)
Customize and extend the platform to meet specific business needs, enabling the development and integration of bespoke business applications.
Product Robustness
- Performance Peta-byte Scale: BIRD is built to handle extremely large datasets, scaling up to petabytes while ensuring robust performance.
- Event Driven Next Generation Enabled: BIRD supports advanced event-driven architectures, making it ideal for modern applications requiring real-time data processing and responsiveness.
- Multi-Tenancy SI, SaaS, DC Enabled: BIRD is designed for multi-tenant environments, supporting system integrators (SI), software as a service (SaaS), and data centers (DC), making it versatile for various deployment scenarios.
- APIs / Microservices OEM, Auto-Scale Enabled: BIRD supports APIs and microservices, allowing for integration with other systems and applications. Its auto-scaling capability ensures efficient handling of varying workloads.
Technical Specifications
Single Server
Single Server Configuration
A single server with 320 GB of storage, 16 cores, and 64 GB of RAM, capable of handling billions of data rows.Average Retrieval Time
Data can be retrieved in less than 3.68 seconds, ensuring quick access to information.Data Ingestion Time
Capable of ingesting data in under 1 hour, ensuring timely updates.Real-Time Data Processing
Handles 10,000 transactions per second, ideal for applications requiring real-time data processing.Concurrent Users
Supports approximately 50 concurrent users, enabling multiple users to access the system simultaneously.
Self-Service Reporting and Best Self-Service BI Tools
ASK BIRD stands out as one of the best self-service BI tools by offering powerful features that empower users to create their own reports and dashboards without extensive technical knowledge. Similar to Power BI, ASK BIRD provides:
Self-Service Reporting Capabilities
Users can independently generate reports and visualizations, allowing for greater flexibility and faster insights.User-Friendly Interfaces
Non-technical users can interact with data, perform analyses, and derive insights with ease.Collaboration and Sharing
Users can collaborate on data projects, share insights, and work together seamlessly, enhancing productivity and decision-making.
