Big Data is snowballing. What was valued at about USD 40 billion pre-COVID is projected to cross the USD 100 billion mark in the next three to four years. Of course, it is the technology’s benefits that drive these numbers. But one cannot discount the role Big Data analytics tools play in the sector’s continued exponential growth. Accordingly, let’s look at ten Big Data analytics tools.
Hadoop is a Java-based open-source platform. It is developed on a cluster system that allows the processing of data efficiently and lets the data run parallel. Hadoop can process structured and unstructured data from a single server to multiple systems. In addition, it is highly scalable, flexible, and storage efficient.
MongoDB is an open-source platform and a document-oriented (NoSQL) database that helps store high data volumes. It is popular among developers as it is available in various programming languages like Jscript, Python, and Ruby. Some features include master-slave replication and a simplified stack.
3 SAS (Statistical Analytical System)
SAS allows mining, managing, extracting, or updating data in multiple variants from multiple sources. Users can access data in any format. In addition, SAS offers a cloud platform, SAS Viya, for business analytics. A few of SAS’s features include encryption (via SAS/SECURE), easy-to-learn syntax, and a vast data format.
4 Rapid Miner
Rapid Miner is a completely automated visual workflow design tool for data analytics. It is a no-code platform and doesn’t require users to code for segregating data. Rapid Miner also allows users to deploy ML models to the web or mobile when the UI is prepared to collect real-time statistics.
5 Microsoft Azure
Microsoft Azure is a public cloud computing platform offering computing, analytics, networking, and storage services. It aims to provide real-time information in an easy-to-manage manner. The high-productivity platform offers trustworthy analytics with a competent SLA and enterprise-grade security and monitoring.
Tableau is a BI and analytics software solution. It offers various integrated products that support the analytical data needs of many global enterprises. Tableau comprises Tableau Desktop (for analysts), Tableau Server (for enterprises), and Tableau Online (to the cloud). Recently added products include Tableau Reader and Tableau Public. Some features include high flexibility, no-code data queries, data blending capabilities, and competent dashboards.
Apache Cassandra is a free and open-source distributed NoSQL DBMS. It is built to manage huge data volumes across various commodity servers. Some pros of Cassandra include efficient massive data handling, log-structured storage, linear scalability, automated replication, and a simple ring architecture.
Lumify is another free and open-source tool that enables Big Data fusion, analytics, and visualization. Some essential features include 2D and 3D graph visualizations, full-text search, automatic layouts, integration with mapping systems, etc. Some benefits include scalability, security, cloud-based environment support, and a dedicated full-time development team.
9 Google Cloud Platform (GCP)
GCP is an open, flexible and secure analytics platform. It offers various features that include processing structured and unstructured data, simplified report creation tools, a fully-managed Big Data SQL warehouse, and a fully-managed global-scale transactionally-consistent SQL database. Some benefits include high scalability, performance, analytical focus, and industry-standard interfaces.
Sisense is an AI-driven BI software that helps simplify and analyze intricate data, create visualizations, and share information with the decision-makers. Sisense offers an easy-to-use drag-and-drop interface and interactive dashboards.
Some of Sisense’s features include creating unlimited dashboards, data export to CSV, PDF, etc., and filters in dashboard widgets to query complex data from the data source without writing SQL queries. In addition, it allows users to join data from multiple sources and conduct the necessary analysis.
The above list isn’t it. You have many more in the market and might have several emerging in the near future. But while being enticed by the opportunities Big Data can bring, you must make the right choice based on your architecture and business expansion plans. After all, the right choices matter!
Consulting Datafortune can help. Our analysts and administrators carefully review your architecture, needs, objectives, and RoI goals to choose the right Big Data tool for your business. Our comprehensive data expertise and a remarkable track record in the data realm can help you navigate various tools and leverage Big Data optimally.
You are only an email away from creating a fortune via data. So, please write to us at email@example.com. We’d be delighted to interact and help.