Querona
Querona simplifies Business Intelligence and Big Data analytics by connecting multiple data sources, allowing real-time data access and standard SQL queries without ETL processes.
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Description
Querona is designed to streamline Business Intelligence (BI) and Big Data analytics through a logical data warehouse that integrates multiple data sources. Users can write standard SQL queries without the complexities of traditional ETL processes, thus optimizing data accessibility and reporting.
Key Features Include:
- Real-time Data Access: Users have immediate access to updated information, enabling timely decision-making.
- Compatibility with BI Clients: Querona works seamlessly with any BI client, providing flexibility in data analysis tools.
- Embedded Apache Spark Engine: The integrated Apache Spark engine enhances data analytics capabilities, allowing for advanced processing and analysis.
Querona supports over 128 types of data sources, making it a versatile solution for organizations looking to consolidate data effectively. It promotes self-service for both business users and IT professionals, reducing dependency on IT teams for reporting and data management tasks.
For more information on data sources and capabilities, refer to the Querona Documentation.
Features
Data Virtualization
Provides a unified view of data from multiple sources without the need for data replication.
Standard SQL Querying
Allows users to write standard SQL queries, making it accessible for those familiar with SQL.
Real-time Analytics
Enables real-time data access for immediate insights and reporting.
Self-service Capabilities
Empowers business users to manage their own data needs without heavy IT involvement.
Support for Numerous Data Sources
Integrates with over 128 types of data sources, including accounting, CRM, and marketing tools.
Tags
Documentation & Support
- Documentation
- Support
- Updates
- Online Support