Every website owner should be looking for ways to improve the quality of the dashboard they are using whether it be an admin area or a project management dashboard. There is nothing more powerful than being able to access relevant information when you need it, at your fingertips. This will lead to greater efficiency and productivity over time which means you can enjoy achieving your set goals and targets.
Best Database For Dashboard
Business reporting & dashboard tools allow you to visualize data using SQL and save query results in charts & graphs. You can also create interactive dashboards and share them with others. They allow you to quickly get meaningful insights from databases and make informed decisions. Most include an SQL report builder that allow you to create SQL queries and visualize results. Here are the top 5 SQL Reporting Tools that you can use to analyze data and grow your business.
Top 5 SQL Reporting & Dashboard Tools
Here are the top business intelligence tools to get insights from data.
1. Ubiq
Ubiq is a powerful BI platform that allows you to build SQL queries using a drag & drop interface, and visualize results in 35+ types of charts & graphs. You can also write SQL and save results as charts & dashboards.
It supports MySQL, PostgreSQL, SQL Server, MariaDB, Amazon RDS, Amazon Redshift, Amazon Aurora and other cloud databases.
Ubiq allows you to create interactive dashboards that show live data, which you can share with others. It also allows you to export dashboards and charts as PDF/Image.
Ubiq also offers many advanced features such as filters, drill-downs, custom variables, parameterized queries, multi-user management and email reports. It also provides an SQL query editor for advanced users.
Ubiq is suitable for SMBs, startups as well as large businesses. It offers a free trial, with paid plans starting from $29/month.
2. Power BI
Power BI is a popular data visualization software that allows you to quickly plot your data in interactive charts & dashboards. It offers a drag & drop interface, as well as an SQL editor.
It supports popular databases, spreadsheets, files as well as cloud data sources. Power BI also supports interactive filters and visualization. It also provides easy integration with other Microsoft products such as SQL Server, MS Access and Microsoft Office.
So if you are user of Microsoft products, then Power BI might be a good fit for you. However, its license can be confusing, and can increase costs over time. For example, it costs $9.99/user/month, even if you are only viewing a dashboard.
Nevertheless, it is a good BI tool for SMBs as well as large businesses. Also, it is easy to use, making it suitable for business users.
3. Mode Analytics
Mode Analytics is a SQL-based data analysis platform that also supports python & R languages. It allows you to write SQL queries and save query results as graphs.
Mode Analytics is suitable for technically advanced users who use SQL, Python and R languages for data analysis and visualization. It might be a little difficult to use for business users.
It is more focused on data science than dashboarding, so it lacks some of the dashboard reporting features available in other tools. Nevertheless, it as tons of features for data analysis.
Mode Analytics is suitable for large businesses and enterprises and might be expensive for SMBs and startups. Its pricing is available by quote.
4. Tableau
Tableau is a well-known data visualization tool suitable for business users as well as technical users. It provides an intuitive drag & drop interface to easily visualize data and build shareable workbooks. Like Power BI, Tableau supports popular databases, spreadsheets, files and cloud-services.
Tableau works based on the concept of Workbooks (like Excel) and where you visualize data and save charts & graphs onto Workbooks that you can share with others.
Tableau is available as desktop application, on-premise server and web-based reporting tool. However, it focuses more on data visualization and less on dashboard reporting. So it lacks some of the features such as email reports that are available in other tools.
Nevertheless, it is a popular and intuitive data visualization software. Its desktop license start from $999/user/year.
5. Cluvio
Like Mode Analytics, Cluvio is also a SQL-based data analytics tool that allows you to visualize query results and build dashboards.
It also supports python and R languages. Cluvio also supports embedded analytics. It does not have a drag & drop query builder, so it is more suitable for advanced technical users.
Cluvio offers a free trial, with paid plans starting from $279/month. It is suitable for large businesses and enterprises, and might be expensive for SMBs and startups.
Conclusion
There are many BI tools available in the market that support SQL queries. Most of them offer a free trial. Make sure to evaluate each tool and pick the one that meets your requirements and fits your budget. If you are looking for an easy-to-use, powerful BI software to build SQL reports & dashboards, then you can try Ubiq.
Best Database for Analytics
1) Best Databases for 2021: MySQL
MySQL was launched in 1995 by Michael Widenius, Allan Larsson, and David Axmark. It is an Open-Source Relational Database Management System (RDBMS) based on the Structured Query Language (SQL), which is available under the GNU General Public license but also comes with proprietary licenses. According to Stack Overflow survey 2020, MySQL is used by 55.6% of the respondents, making it the most widely used database in the world.
It enables innovative Database Administrators and Software Developers to build and deploy the next-gen Web, Embedded, Mobile, and Cloud Software-as-a-Service (SaaS) / Platform-as-a-Service (PaaS) / Database-as-a-Service (DBaaS) applications on the latest development frameworks and hardware platforms.
MySQL is a highly scalable database system that possesses the ability to run on multiple platforms such as Linux, Windows, and Unix. Some of the key features of MySQL are as follows:
- MySQL is extremely easy to deploy and manage.
- It supports ACID (Atomicity, Consistency, Isolation, Durability), thereby making it the most reliable.
- This Relational Database Management System (RDBMS) offers fast-loading utilities with different memory cache to maintain and administer Servers.
- MySQL can be configured with any programming language but is used mainly with PHP.
- It offers high-performance results without compromising essential functionalities.
- It provides complete security for the data as it consists of solid Data Security layers. Only authorized users can access the database using encrypted passwords.
More information about MySQL can be found here.
2) Best Databases for 2021: PostgreSQL
PostgreSQL is a free and Open-Source Object-Relational Database Management System (ORDBMS) that emphasizes extensibility and SQL compliance and was developed by Michael Ralph Stonebraker in 1996. It is compatible with several operating systems, including Windows, Linux, MacOSX, Unix, etc.
PostgreSQL houses numerous features such as Inheritance and Function Loading that make it one of the best databases available. These features are used to enhance the extensibility, reliability, and data integrity while handling data. It comes with various data types and robust feature sets that allow businesses to achieve their data handling objectives. The key features of PostgreSQL are as follows:
- It houses numerous constraints that can ensure Data Integrity. These constraints include Primary Keys, Foreign Keys, Explicit Locks, Advisory Locks, Exclusion Constraints.
- It supports various features of SQL such as Multi-Version Concurrency Control, SQL Sub-selects, complex SQL queries, Streaming Replication, etc.
- It is compatible with multiple data types, including Structured, Primitives, Customizations, Geometry, and Document.
- It is highly extensible in several phases like JSON/SQL path expressions and Stored procedures and functions.
More information about PostgreSQL can be found here.
3) Best Databases for 2021: Microsoft SQL Server
Microsoft SQL Server was developed by Microsoft Corporation in 1989. It is now considered to be an excellent Relational Database Management System (RDBMS) for both On-premise and Cloud environments. This enterprise-proven agile database has built-in intelligence that allows businesses to scale the performance, availability, and security seamlessly based on their requirements. It is available both on Windows and Linux platforms.
Microsoft SQL Server is identical to Sybase SQL Server 4.2. This is because their basic architecture process and Transact-SQL Procedural languages are similar. This database has several competitive features that secure it a unique place in the analytics industry. Some of these features are as follows:
- Microsoft SQL Server and other Big Data tools can be used to build a superior shared Data Lake.
- It allows users to gain insights by querying across their entire dataset without moving or replicating their data.
- It comes with built-in features for Data Classification, Protection, and Monitoring as it identifies and provides alerts on suspicious activities, security gaps, and misconfigurations.
- It supports Structured, Semi-structured, and Spatial data
- It comes with custom-built graphical integration and allows users to create various designs, tables and view data without syntax.
- It allows users to combine data from any source by harnessing an extensive connector library and new transformations in the Microsoft SQL Server Analysis Services (SSAS) Tabular Model.
More information about Microsoft SQL Server can be found here.
4) Best Databases for 2021: MongoDB
MongoDB is an Open-source Document-oriented Database that is used to store high-volume data and was founded in 2007 by Dwight Merriman, Eliot Horowitz, and Kevin Ryan. MongoDB is a scalable, flexible database platform that overcomes the relational database approach. It provides users an unparalleled level of flexibility by horizontal scaling and load balancing capacities.
MongoDB is suitable for hierarchical data storage and is almost 100 times faster than Relational Database Management System (RDBMS). This platform centers around the CAP theorem (Consistency, Availability, and Partition tolerance.)
MongoDB offers developers several out-of-the-box capabilities, irrespective of where it is published (privately on-site or in the public cloud). Some features are as follows:
- It is highly scalable. Numerous companies across industries leverage MongoDB to create Clusters with more than 100 nodes and millions of documents within the database.
- It offers high availability with replica sets.
- It is very flexible and adaptable as it stores the data in the documents.
- In case of hardware failure, it can run over multiple Servers, balancing the load or duplicating data to keep the system running.
- The data model available within this database platform enables users to represent hierarchical relationships, store arrays, and other complex structures seamlessly.
More information about MongoDB can be found here.
5) Best Databases for 2021: Oracle
Oracle Database is a widely used Relational Database Management System (RDBMS) across industries. It is one of the most popular databases since it is considered to be a cost-optimizing and high-performance solution. It is the only converged Enterprise Relational Database present in the industry. Oracle Database supports Structured Query Language (SQL) to interact with the database.
This multi-model Relational Database Management System (RDBMS) was primarily designed for Enterprise Grid Computing. After the success of its 19C database, Oracle Database 21C was released earlier this year that brings wide-ranging capabilities like Multi-workload Improvement with AutoML.
Oracle Database is among the most widely used databases in the industry as they support all data types involving Relational, Graph, Structured, and Unstructured information and is hence considered to be one of the best databases available in the market. The key features of Oracle Database are as follows:
- It houses numerous features such as Real Application Clustering and Portability, making this Relational Database Management System (RDBMS) much more scalable during business growth.
- High data availability is required for running real-time applications. Oracle offers a high-performance computing environment that is powerful enough to provide all-time data availability. It also ensures data remains available during unplanned downtimes. In downtimes, any database needs to recover quickly to provide high-data availability. Oracle is laden with comprehensive recovery features to bring out data from failures. During such times, the unaffected part of data remains good to use simultaneously, with the affected part being repaired within minutes to ensure the availability of data in that part as well.