How to join GTmetrix and IBM DB2
Discover how to join GTmetrix with IBM DB2 for integrated analysis.
WITH PIPES OR PIPES PROFESSIONAL
WITH THE LOGICAL DATA WAREHOUSE
GTmetrix provides insights on how well a client's website loads and delivers actionable recommendations on how to optimize the site's performance. Therefore GTmetrix can be used to develop a more efficient, faster, and all-around improved website experience for the users.
About IBM DB2
IBM DB2 is a relational database management system for enterprise-wide solutions developed by IBM. A relational database is a database in which all of the data is logically contained in tables. These databases are organized according to the relational model. In a relational database like IBM DB2, referential integrity ensures data integrity by enforcing rules with referential constraints, check constraints, and triggers.
What is Data Virtuality?
Data Virtuality enables companies to build an agile BI stack in 1 day. It connects to GTmetrix, IBM DB2 and more than 200 other databases and cloud services. All connected data sources can be directly queried with SQL and data can be moved into any analytical database. Customers of the Data Virtuality Logical Data Warehouse are digital businesses with the highest flexibility needs.
IMMEDIATE DATA ACCESS
Connect over 200+ databases, cloud services and files (XML, CSV, etc.) in minutes. Query data directly with your favourite business intelligence and analysis tools.
CENTRAL DATA MODEL
Build your single source of data truth and set uniform definitions for your data. Connect your business intelligence tools to Data Virtuality and make sure everyone in your organisation works with the right data.
ALL IN SQL
With Data Virtuality you can query all data sources with SQL regardless of the file format. NoSQL, CSV or XML File: We transform any connected data source in SQL.
Data Virtuality controls the exchange of data between all databases, cloud services, and analysis tools to help everyone in your organization get the right information, in real-time if needed.