Big data are simply too large and complex data and cannot be handled using traditional data processing methods. Big Data includes a range of tools and techniques to get information from it. Today’s market is full of the best Big Data tools. They add cost efficiency, better time management into the analytical tasks of the data.
Listed below are the best big data tools with their key features
Hadoop
Apache Hadoop is a software platform used to manage big data and distributed file systems. It handles big data datasets using the programming model MapReduce. Hadoop is an open-source framework written in Java, which offers support across platforms. No wonder, this is the topmost best big data tools. More than half the Fortune 50 businesses are currently using Hadoop. Many big names include Web services from Amazon, Hortonworks, IBM, Intel, Microsoft, Facebook, etc.
Xplenty
Xplenty is a software platform for integrating, analyzing, and preparing data for analytics. This will put together all of the sources of your data. Its intuitive graphical interface can help you incorporate ETL, ELT, or a solution for replications. It is one of the best big data tools. Xplenty is a detailed toolkit for developing low-code and no-code data pipelines. It has marketing, sales, service, and developer solutions. Xplenty will help you make the most of your data without investing in the hardware, software, or related staff. Xplenty offers support via email, chat, phone, and an online meeting.
CDH (Cloudera Distribution for Hadoop)
CDH aims to deploy the technology to the business level. It is fully open-source and has a free distribution framework that includes Apache Hadoop, Apache Spark, Apache Impala, and many more. It lets users gather, process, manage, manage, discover, model, and distribute unlimited data.
Apache Cassandra
It is free of cost and open-source distributed NoSQL DBMS built to manage vast volumes of data across multiple commodity servers. It has high availability and is one of the best big data tools, and to communicate with the database, it employs CQL (Cassandra Structure Language). Cassandra’s high-profile clients include Accenture, American Express, Google, General Electric, Honeywell, Yahoo, and others.
KNIME (Konstanz Information Miner)
It is an open-source platform used for reporting, integration, analysis, data mining, CRM, data analytics, text mining, and business intelligence of enterprises. KNIME supports operating systems running Linux, OS X, and Windows. This can be considered a reasonable alternative to SAS. Among the top companies that use Knime are Comcast, Johnson & Johnson, Canadian Tire, etc.
