Best Analytical Processing Database Tools for Business Intelligence Applications

Business intelligence is now growing multifold without boundaries at the current times. The predictive analytics market is expected to grow to around 10 billion in the next three to four years to come. To meet the future demands of the same, there are many software enhancements for the applications implementing complicated algorithms, artificial intelligence, machine learning, etc., to improve the enterprise decision making and forecasting processes. Read to know about best analytical processing database tools.
On the off chance that you are thinking about executing a business knowledge instrument, or BI device, there are huge loads of various choices. Business knowledge devices are tied in with assisting you with getting patterns and getting experiences from your information so you can settle on strategic and vital business choices.

BI apparatuses are utilized for an assortment of reasons, and when utilized appropriately, can have numerous advantages for a business or individual divisions inside a business. Some planned advantages of BI are to drive snappier better choices, help recognize expected zones of operational improvement, help distinguish various sorts of patterns inside organizations or markets, or help make upper hands over different contenders whose data is restricted. These advantages can be acknowledged on both the full scale and miniature level when appropriately lined up with business targets and frameworks.

Top-performing analytical processing (OLAP) tools

Before discussing the OLAP tool selection tasks, we may first overview what OLAP is all about. Online Analytical Process or OLAP is the approach to data management, which can answer analytical queries faster and in a very smooth manner. OLAP is a fundamental unit of business intelligence. It also holds a relational database and data mining with reporting features within it. In other terms, OLAP encompasses the relational database management systems and data mining and reporting capabilities.

OLAP tools are also given add-on capacity to the users for analyzing the multidimensional data sets from various business perspectives. All the OLAP tools are built upon three fundamental analytical operations, as discussed below.

Most importantly, information disclosure, which used to be restricted to the aptitude of cutting edge examination trained professionals, is currently something everybody can do utilizing these apparatuses. What’s more, not just that, these apparatuses give you the experiences you need to accomplish things like development, resolve gives that are dire, gather all your information in one spot, conjecture future results thus substantially more.

  • Consolidation: It is also known as a roll-up operation, which performs data aggregation and can be computed in multiple dimensions. For example, all retail offices may roll up to retail departments to forecast the retail market trends.
  • Drill down: This is another contrasting technique for data consolidation that will let the users effectively navigate through data details in a reverse approach for consolidation. For example, the users can easily view the retail patterns of the individual products with it.
  • Slicing and dicing: This is the technique in which users will take out the data slices or a set of OLAP cube data, which will further dice the data cube from various points of view.

The databases configured using OLAP may effectively use a multi-dimensional model in data management, allowing the users to compute complex analytical and ad-hoc queries instantly with lesser time for execution.

Choosing the best OLAP system

There are many types of OLAP software available in the market, which allows the users to perform data dicing and slicing effectively. However, a few fundamental features constitute a reliable tool with flexibility, leveraging parallelism, performance, strong metadata layer, and optimum security features. So, it is advisable always to consider these features while deciding on an OLAP system’s choice.

Here we have prepared a custom list of the best OLAP tools available in the market to help the users with it. For further support to decide between OLTP and OLAP systems, you may get an expert consultation by RemoteDBA experts.

1) Xplenty

It is a licensed tool, which offers a complete toolkit to build strong data pipelines. Xplenty offers top-end features for effective integration, preparation, and processing of data for BI.  It incorporates coding, non-code, and low-code capabilities for various types of users. The low-code and no-code options will let anyone create the ETL pipelines. The API components of Xplenty offers more advanced flexibility and customization features.

Xplenty is also an elastic and highly scalable cloud platform, which can easily handle monitoring, deployments, scheduling, maintenance, and security. It also has a very intuitive graphical interface, which will help you easily implement ELT or replication. It can also offer better solutions for sales, marketing, customer services, and development. Xplenty offers support through email, phone, chat, and online meetings, etc.

2) IBM Cognos

IBM Cognos also comes with proprietary licensing, a web-based, integrated analytical processing tool offered by IBM. It consists of a featured toolkit for analysis, scores carding, and reporting and options to monitor the key metrics. It also consists of numerous in-built components to meet different information needs in an enterprise.

All these components are windows based and named as IBM Cognos Framework Manager, map manager IBM Cognos Transformer, cube designer, IBM Cognos connection, etc. The Report Studio of IBM Cognos can be used for report creation, shared with the knowledge processing teams. This approach will give the users high flexibility to create different reports as lists, charts, maps, repeated functions, etc.

The Analysis Studio of IBM Cognos can search for background information about different events and actions and prepare an analysis of large data sets. The Key OLAP features as roll up and drill down, as we discussed above, can be used for a better insight about the information.

3) Micro Strategy

This, too, is a licensed tool. MicroStrategy is a Washington-based tech company offering mobile software and business intelligence services to clients across the globe. MicroStrategy Analytics helps organizations effectively analyze huge data sets and distribute business-specific insights across the organization. The tool can deliver insightful dashboards and reports to be shared to conduct shared analysis through mobile devices.

MicroStrategy tool also features scalable and secured software which offers excellent governance features for enterprise-level business intelligence.  MicroStrategy is now available both as on-premises software and also as cloud-based services. This gives more cost-effective or secured options for smarter enterprises to choose from.

4) Palo OLAP Server

Unlike the above-licensed tools, Palo OLAP Server is an open-source MOLAP (multidimensional online analytical processing) server, which is ideally used as a business intelligence tool for different purposes involving budgeting and controlling, etc. Jedox AG offers Palo.

Palo uses spreadsheet software as its UI. It will let different users share a central DB, which acts as a single source of truth. This offers the flexibility to handle different types of complex data models and offer the users a deeper insight into the data-driven statistics. Palo can work on real-time data, and the data can be easily consolidated and written back using multidimensional queries. To give faster data access to the users, Palo can store run-time data also in the memory.

Suppose you are looking for more choices in OLAP tools. In that case, you may try and explore Apache Kylin, icCube, Pentaho BI, Mondrian, OBIEE, JsHypercube, Jedox, SAP AG, DBxtra, HOLOS, Clear Analytics, Bizzscore, NECTO, Phpmyolap, Jmagallanes, etc., each of which comes with different BI abilities.