A database report is the formatted result of database queries and contains useful data for decision-making and analysis.

Most good business applications contain a built-in reporting tool; this is simply a front-end interface that calls or runs back-end database queries that are formatted for easy application usage. For example, a banking software application may contain specifically defined reports on all customers with large deposits or reports on monthly loan summaries for all customers.

Database Reporting Tools: Everything You Need to Know

What are Database Reporting Tools?

Database reporting tools allow you to create reports based on the data stored in your database or data warehouse. Two of the most popular types of databases are relational and NoSQL.

Relational databases store data in tabular relations and they are managed through a database management system. Database reporting and database reporting tools rely on connections to a relational database management system (RDBMS), typically through JDBC or ODBC. The most popular types of relational database management systems are MySQL, Oracle, Microsoft SQL Server, IBM DB2 and PostgreSQL. Structured Query Language (SQL) is used by database reporting tools to query and manage data in relational database management systems. Once a connection is established to a RDBMS, database reporting tools then can present data in reports and dashboards.

On the other hand, if you require database reporting on large volume, unstructured, or real-time data you may need a big data storage solution. NoSQL databases are well-enabled at storing and retrieving big data which the tabular relations and structure found in relational databases simply cannot. Database reporting on NoSQL data sources requires either a customized SQL connector, ETL tool, or another native way of accessing data.

What is a Database Report?

A database report is a report created from a culmination of queried data visualized for the purposes of analysis, data discovery, and decision-making.

Database reports can be created through traditional BI platforms and embedded BI platforms through front-end calls to a backend database. These calls are often formulated as SQL queries.

A traditional BI platform may run a call to an internal data resource to then visualize a database report through a centralized front end BI system.

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An embedded analytics platform would run a similar function but through a 3^rd party application front end. An example of this would be a 3^rd party logistics software application used by a freight and trucking company. This application may have reports about current inventory levels, shipping history and tracking, current status of undelivered shipments, etc. which may be built into the  application, but which may run through an embedded analytics solution from the application interface itself. There’s normally a security layer involved passing the requests from the embedded analytics application to the application layer itself and finally querying the data layer using SQL to visualize the data.

JReport comes with additional reporting features which allow the representation of data to be taken several steps forward. Traditional reporting features like cascading parameters, which allows you to define restrictions on different data elements such as selecting a data range, as well as filtering and sorting capabilities which allow you to manipulate data within a given report, and fully interactive and ad hoc reporting capabilities allows you to do much more with a database report. JReport also allows you define row and column level security parameters meaning the output parameters are restricted based on user, role, and organization levels. These types of additional data discovery and analysis capabilities are often categorized in the larger umbrella term “business intelligence”.

What is Business Intelligence (BI)?

Business Intelligence is an umbrella term for a set of analytical tools and methods that allow users to observe, visualize, and analyze data. Users can pull and combine different data sources by executing multiple database queries to mash up different data elements. These queries are then visualized into reports, dashboards, and other visualizations allowing decision makers to easily view data in a usable way and then analyze said data to make better business decisions.

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