Rundown of the Most Popular Big Data Platforms

Every organization today faces the challenge of managing its high data volume and its smart utility. To rule the market and leave their footprints across the globe, organizations not only need to collate data but also analyze and store it for reuse to make informed and real-time decisions that make a great impact on their performance and ROI. Appropriate handling of such humongous amounts of data requires specialized tools and technologies – a technology called Big Data.

However, the market is flooded with numerous Big Data platforms. Not every one of them will be right for your business. The key is to determine which platform is the best fit for your unique business needs. Following is a compilation of the 10 leading data platforms, describing what they offer. This list is based on the latest popularity and trend. It might not be a full-fledged evaluation and discretion in choice is required based on your business goals.

  1. IBM Big Data Platform

This platform offers a unique experience addressing the complete challenges of big data business. Users get a blended platform of both traditional and modern technologies. The four core capabilities of the platform are – Hadoop-based analytics, data warehousing, stream computing, and information integration plus governance. IBM Big Data Platform is best suited for unstructured analysis as well as random data exploration and discovery. It offers great flexibility and speed, combining the traditional with the latest technologies conducive for structured and repeatable tasks.

Read: 10 Recent Big Data Technology Developments

  1. Cloudera Enterprise

This low-cost and high-performing platform is ideal for data analytics and is the only platform trusted by professionals with a Hadoop administration tool and search engine. Its advanced optimization features allow customized monitoring, high-performance analytics, and powerful troubleshooting. With an in-built predictive maintenance in its support data hub, Cloudera Enterprise is easy to manage, providing in-depth insights for a higher number of users on a single platform.

  1. Teradata Integrated Big Data Platform

Teradata Integrated Big Data Platform is one of its kinds, having an optional standby node, global hot spare drives, and a redundant power supply to offer enhanced system availability. The platform allows offloading of data and workload from Teradata IDW to another Teradata low-cost system. This offloading can be performed simultaneously while the user carries out execution of Teradata analytics without any disturbance. This feature helps in avoiding the complexities of adding Hadoop for storage.

Read: Advanced Logistics with Big Data

  1. Hortonworks Data Platform

This Big Data platform is based on a centralized architecture called YARN (Yet Another Resource Negotiator). The two important components of Hortonworks Data Platform (HDP) are YARN and HDFS (Hadoop Distributed File System).  HDP is a truly secure and enterprise-ready Open Source Apache Hadoop distribution platform addressing complete data needs. It is capable of addressing data at rest through its powerful real-time customer applications, which accelerates the decision-making and innovation capabilities of the organization.

  1. MapR Converged Data Platfor

Based on the concept of Polyglot Persistence, this platform is a one-stop solution for big data applications. The platform is capable of delivering high speed, scale and reliability, driving both analytical and operational workloads on a single platform. MapR Converged Data Platform helps overcome the challenge of continuously deploying specific workload silos for processing. Integrating the power of Spark and Hadoop, this platform offers real-time capabilities, enterprise storage, global event streaming, disaster and data recovery features thereby, reducing the risk of data loss and maximizing the uptime.

  1. Kognitio Analytical Platfor

Kognitio boasts of being a pioneer in the development of in-memory software for running complex Big Data analytics. This platform offers super-fast high concurrency SQL layer for data warehouse and Hadoop. It caters to the needs of an organization with high number of users having high number of complex queries that require short response time. Kognitio Analytical platform also allows seamless interoperability with the existing analytics, visualization, and BI applications of the user as well as Hadoop Big Data storage.

Read: Role of Big Data in Education


  1. HPE Vertica

Vertica is considered to be the advanced SQL database analytics platform by Hewlett Packard Enterprise. Addressing the current challenges of Big Data analytics initiatives, Vertica makes sure organizations can leverage analytics by efficiently supporting leading visualization and BI tools as well as Open Source technologies such as Hadoop and R. The platform enables efficient, quick and reliable management and analysis of enormous amounts of both structured and unstructured data.

  1. Qubole Data Service

Qubole Data Service (QDS) has the distinction of being the first autonomous data platform. The platform has an integrated interface that assists data-driven organizations in performing predictive analysis, ad-hoc analysis, streaming and machine learning. This self-optimizing and self-managing platform can be deployed on any cloud of your choice. QDS also allows workload distribution across multiple clouds. Data engines of the platform are completely optimized and automated for cloud.


The Big Data platform – SAP HANA – is a column-oriented, in-memory platform that runs the analytics applications in a smart manner to create simple data infrastructures that run business processes a lot faster. Designed for the NextGen applications and analytics, this platform allows integration of all types of data and offers advanced analytical processing for in-depth insights.

Read: How Big Is The Impact Of Big Data In Boosting Manufacturing Efficiency?

  1. Pivotal Big Data Suite

This platform which is based on Open Source technology helps provide momentum to your digital transformation process. Pivotal Big Data Suite other than being deployed on-premise can also be deployed on public clouds. It offers a complete platform for modern data architectures, containing all the necessary elements for both streaming and batch analytics architecture.

Using the appropriate platform, you can harness the potential of Big Data by growing profitably, mitigating risks and generating sustainable business growth. Choosing the right platform will help your team focus better on business outcomes rather than spending time managing the platform.

To get to know more on choosing the right Big Data platform for your business, reach out to us.

Author : Priya Sen Date : 29 Aug 2018