Find out the top trending big data tools 2019 and explore your knowledge in data management by understanding the deep features of this followed big data tools. This article is not only for developers, also businesses who are getting junked with a large set of data and are wishing to extract insights through them. Choose the big data tool which are capable of analyzing your business and are meeting your financial requirements.
First of all we must there is always an invention of new kind of big data tool?
The reason, behind the release of new big data tools is, Data's are become unpredictable, un-sized, un-detremined velocity, and comes in different types through which we never expected. So, to handle this kind of raw set of immutable data's we have to find some new methodology in order to simplify the data management process.
Here we are going to see about 20 top most trending big data tools and their features.
The following contents are originally referred from the source " Top 20 Big Data Tools 2019 "
Top 20 Big Data Tools 2019
1. Apache Hadoop
It is a library framework that allows us to proceed distributed processing of large data sets across various cluster of computers. It can be scaled up to handle thousands of server machines. It can detect the failures and handle them at the application layer.
2. Apache Spark
By the definition, it is a fast, open source, general purpose cluster computing framework. API’ can be developed in JAVA, Scala, R and python languages. This framework supports to process large sets of data across various clusters of computers. It can be scaled up to manage and support single servers to large server machines.
3. Apache Storm
It is an open source real time big data computation system and also free to use. It can process unbounded streams of data in a distributed real time.
4. Tableau
Table is the powerful tool ever, it helps to simplify the raw data into an easily understandable data sets. Tableau work nature can be easily understandable by professionals who are in any level of an organization. It connects and extract the data from various sources.
5. Apache Cassandra
Effective management of large set of data can be done by apache cassandra, without compromising the performance it can provide you scalability and high ability. Cassandra is fault tolerant, decentralized, Scalable, High performer.
6. Flink
It is also an another open source, distributed Big data tool that can stream process the data with no hassles.
###7 Cloudera
Faster, easier and highly secure modern big data platform. It allows user to get data from any environment within a single and scalable platform.
8. HPCC
Developed by LexisNexis Risk Solution. It delivers data processing on a single platform with a single programming language support.
9. Qubole
It is an autonomous big data platform. Wll be self managed, self- optimized, it allows businesses to focus on better outcomes.
10. Statwing
It is an easy to use big data tool, that focuses on statistical reports.
11. CouchDB
It is the only big data tool that stores data in JSON Documents, It provides distributed scaling with ultra fault tolerant. It allows data accessing through couch replication tool.
12. Pentaho
This big data tool can be used to extract, prepare and blend the data. It provides both visualization and analytics for a business.
13. Openrefine
Openrefine is also another big data tool , it can help us to work with a large amount of messy data.