Querona provides an abstraction layer for all data to achieve flexibility for change, pervasive and consistent data access, and greatly reduced costs because of less need to create physically integrated data structures.
Among other benefits, it offers an opportunity for organizations to change and optimize the manner in which data is processed and physically persisted, while not impacting the applications and business processes.
The primary reason that companies implement Business Intelligence (BI) solutions is to support and improve their decision-making process. Changing world puts pressure on companies to react and make decisions faster, however:
Organizations need to be more agile and embrace change quickly by adopting their culture, existing IT systems and reporting,
New valuable, external data sources emerge frequently and need to be quickly integrated with existing solutions,
New technologies like analytical column databases, in-memory databases, mobile, machine learning or BigData systems, create an opportunity to speed up analysis and open new possibilities
Current data management processes utilizing ETL, require a lot of effort to change or process and are usually not suitable for an agile approach,
Cloud usage is growing due to the utilization of SaaS platforms, putting more pressure on companies IT and operations.
Enable customers to rapidly develop and deploy data services that access, federate, abstract, and deliver data on-premise and in the cloud
Efficiently deliver data via established protocols and technologies, that can be reused on multiple projects, allowing for greater agility
Gain faster business insights by almost instant, access to all the data, in a customizable and secure way
Respond faster to ever changing requirements of analytics and BI enabling 5-10 times shorter time to solution than traditional data warehouses
Enable savings of 50-75% over data integration and consolidation.
Purpose-built data virtualization and data warehousing platform that seemlessly integrates with any existing and future data-oriented technologies,
Connectivity to over 200 data sources, including relational, no-sql, CRM, ERP, SaaS, file-based, etc.
Full emulation of the widely adopted and successful enterprise-grade database engine, namely Microsoft SQL Server,
A high-performance, in-memory, columnar data processing engine,
Internal, no-code ETL pipeline that uses parallel columnar processing,
Ability to rapidly use the fastest data processing engines on the market as a physical layer for data materialization,
Full, web-based administration GUI, promoting self-service and quick deployment,
Flexible deployment model, including on-premise, cloud, hybrid, or your personal laptop.