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Most Commonly Used Reporting Databases

Most Commonly Used Reporting Databases | Reporting Tools

Most Commonly Used Reporting Databases

Reporting databases are specifically designed and optimized for generating reports. They are usually separate databases from the transactional databases used to store data for operational purposes, such as processing orders or recording customer interactions.

Reporting databases are typically optimized for fast querying and aggregating large amounts of data, as well as for storing historical data for longer periods of time. They may also include features such as data visualization and dashboarding tools to make it easier to generate and view reports.

Data today lives in a variety of data stores such as MS SQL Server, Oracle, PostgreSQL, MySQL, IBM Db2, Apache Cassandra, MongoDB, Microsoft Excel files, and CSV files. Bringing this data together in a form that will allow you to produce useful reports is not a small task. You will have to deal with integration, clean up, reconciliation, and the secure storage of the resulting data. The process you come up with will have to run on a schedule to keep data up to date. In fact, this is where most of the messy work lurks.

In this blog, we’ll go through some of the best reporting databases.

Best database to use

The best database for your reporting needs will depend on your specific requirements and preferences. Unfortunately, it is always challenging to determine which one will best suit your organization. Here is a deep dive into the best and most popular databases:

  • Microsoft SQL Server: Microsoft SQL Server is a popular database management system that is often used for reporting purposes. It is known for its reliability, performance, and security, and it offers a range of tools and features for data management and analysis. One of the key features of SQL Server is its support for structured query language (SQL), which is a standard programming language for managing and manipulating data in a database. SQL Server also offers a range of tools and features for data management, including support for data modelling, indexing, and security. It is a popular choice for reporting due to its robust data management capabilities and support for a wide range of reporting and analysis tools. SQL Server is available in several editions, including Express, Standard, and Enterprise, which offer different levels of features and capabilities. It can be used on a variety of platforms, including Windows, Linux, and Docker, and it can be deployed on-premises or in the cloud.
  • Oracle: Oracle is a commercial database management system that is widely used for reporting purposes in enterprise environments. It is known for its scalability, security, and performance, and it offers a range of advanced features for data management and analysis. It supports SQL and offers a range of tools and features for data management, including support for data modelling, indexing, and security. It can be deployed on-premises or in the cloud, and it is available on a variety of platforms, including Windows, Linux, and Solaris.
  • MySQL: MySQL offers both the open-source Community Server and the proprietary Enterprise Server. The latter has a series of proprietary extensions that are server plugins. Oracle MySQL offers a high-availability solution. MySQL can run on cloud-computing platforms like Microsoft Azure and Oracle Cloud Infrastructure. It is a popular choice for reporting due to its reliability, flexibility, and support for a wide range of reporting and analysis tools. It is known for handling large amounts of data efficiently.
  • PostgreSQL: PostgreSQL is an enterprise class, open-source database management system that is often used for reporting purposes. It is frequently used in large, mission-critical systems where high availability and scalability are important. It supports both SQL and JSON In addition, PostgreSQL has advanced data types and performance optimization capabilities, which are only accessible in expensive production databases. Some of its features are granular access controls, point-in-time recovery, nested transactions, and international character sets.
  • MariaDB: MariaDB is a fork of the MySQL database management system that is also widely used for reporting purposes. Like MySQL, MariaDB supports SQL and offers a range of tools and features for data management. It includes new storage engines like Aria, ColumnStore, and MyRocks.

Reporting Tools Data Connectivity

Many reporting tools are available that support various data connectivity options, depending on the data sources with which they are designed to work. Some common data sources supported by many reporting tools include:

  • Relational databases: SQL Server, Oracle, MySQL, and PostgreSQL.
  • Big data: Hadoop and Apache Spark.
  • Cloud data sources: Amazon Redshift, Google BigQuery, and Azure SQL Data Warehouse.
  • Data files: CSV, Excel, and JSON.
  • Web APIs

In addition to these data connectivity options, some reporting tools like Bold Reports also provide support for custom data connectors, which allows you to connect to any data source that is not natively supported. This can be useful if you need to access data from a proprietary data source. It is important to choose a reporting tool that supports the data sources you need to work with in order to effectively access and visualize your data.

Bold Reports supports connectivity to all five database types. Bold Reports is a set of SSRS RDL/RDLC reporting and data visualization tools that allows you to create interactive reports from various data sources. You can also connect and access data from any REST API sources like OData or RSS feeds created by yourself or publicly available. This makes it easy to access and visualize data from virtually any source.

Conclusion

I hope this blog provided a clear idea of the most commonly used reporting databases. To explore more about Bold Reports and its data source support, look through our documentation site and demo samples.

If you have any questions, please post them in the comments section. You can also contact us through our contact page, or if you already have an account, you can log in to ask your support question.

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