What Are The Open Source Big Data Tools That Truly Work

Big Data is known not just for Hadoop but for other tools too. There are plenty of other tools and platforms of Big Data, which can be used as an open source tool for optimum results.

The fact is Hadoop is one of the most important and thriving parts of the Big Data software ecosystem, whereas other tools are often overlooked.

Big Data projects are generally open source. It is mainly because Hadoop is the driving force behind Big Data that sets the bandwagon rolling. Because Hadoop is also open source, all the associated tools are also open source.

Regardless of the reasons, with proper Big Data training, software tools can be used and implemented rapidly. Because Big Data software is readily available, free of cost, anybody can use it as an open source code customized to the exact requirement.

There’s a stunning range of open source tools now available online. Big Data certification courses online are the hottest and innovative platforms.

Different Big Data Platforms

• Lumify: A relatively new Big Data tool for open source projects, Lumify can be used for creating Big Data fusion, visualization, and analysis platform. It has a web-based interface that allows users to discover their connections and explores various relationships in data using a suite of analytical options, which includes 3D and 2D graph visualizations, dynamic histograms, full-text faceted search, collaborative workshops, and interactive geographic maps.

• HPCC Systems Big Data: This is an innovative platform for transforming, manipulating, data warehousing and querying your Big Data. It is an excellent alternative to the popular Hadoop. It utilizes Thor data refinery, Enterprise Control Language, and Roxie data query/delivery engine as alternatives to Apache pig.

• Talend: Another open studio for Big Data, Talend allows you to work with NoSQL and Hadoop database. It also provides simple graphical wizards and tools for generating native code, which helps you control Hadoop in its full power.

• Apache Storm: A distributed real-time computation system, Storm allows users to process unbounded data streams reliably. It does the same thing for real-time processing that Hadoop does in the case of batch processing. This software can be used with various programming languages.

• Apache Samoa: Scalable Advanced Massive Online Analysis (Samoa) is a unique platform to mine Big Data streams. With proper Big Data training, you can learn how to carry out these performance-oriented tasks. It is one distributed streaming machine learning framework, which contains programming abstraction for all kinds of distributed streaming ML algorithms.

• Apache Drill: Drill is a classic SQL query engine to explore Big Data. It is designed from the ground level up to support higher performance analysis on the semi-structured as well as rapidly evolving data that comes from latest Big Data applications. Drills further provide plug-and-play integration with the existing Apache HBase and Apache Hive deployments.

• Ikanow: This is a slightly different tool from all the other Big Data software tools you have seen in the past. It claims to be one of the first of its kind unstructured security analytics platform with a difference. It’s free Community Edition allows you to top into structured and unstructured data to deliver search, ingest, export and data widgets features in open and self-supported platforms.

Specialist Search Tools for Big Data

Big Data open source search tools are equally popular and commonly used these days. Some of the common tools include:

• Apache Solr: It is designed to be reliable, fault tolerant, and scalable thus providing replication, distributed indexing and load-balanced querying. It also has other features like automated recovery and failover and centralized configuration. Solr also powers navigation and search features of some of the largest internet sites in the world, and it has been built on the Apache Lucene Java-based search and indexing technology.

• Elasticsearch: It is an open source, distributed search and analytics engine that has been designed for reliability, easy management, and scalability. It also combines the speed of search with powerful analytics via query language designed to cover unstructured, structured and time series data. It is developer friendly too.