Top 20 Big Data Tools 2019

Top 20 Big Data Tools

2019

#1

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.

#2

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

#3

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

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

#5

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

It is also an another open source, distributed Big data tool that can stream process the data with no hassles.

Provide accurate results for out of order and delayed data  Can easily recover from failures

#7

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

Developed by LexisNexis Risk Solution. It delivers data processing on a single platform with a single programming language support.

#9

It is an autonomous big data platform. Wll be self managed, selfoptimized, it allows businesses to focus on better outcomes.

#10

It is an easy to use big data tool, that focuses on statistical reports. Explores data in seconds. it helps to cleanse the data and create charts in seconds. We can create histograms, heatmaps, and bar charts at any time

#11

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

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 is also another big data tool , it can help us to work with a large amount of messy data.

It helps to explore large data sets with easy manner.

Can Link and extend data set across various web services.

#14

It is also an another open source big data tool.

Which is used for data prep, machine learning, and data model deployments.

#15 DATA Cleaner

It is a Data quality analysis tool, inside the data cleaner there is a strong data profiling technique. Interactive and explorative data profiling feature.Detects fuzzy records.Validates data and reports them.

#16

It is a big data community , were businesses, organizations and researchers can analyze their data seamlessly.

#17

It is an open source software big data tool.

Can help to analyze large data set on hadoop. Querying and managing large data sets at real fast.

#18

It is a community, capable of handling trillions of events a day. Created in 2011 and open sourced by linkedin.Initially this was started as a messaging platform then within a short period it has been diverged in to even streaming platforms,

#19 Graph Databases

It is a NoSQL Database uses graph data model comprised of different vertices to represent relationships between nodes .

#20

It is a search based lucene library, distributed, full-text search engine with an HTTP web interface.

It is compatible on every platform. Real time, within a second of adding the document it can searchable inside the search engine.

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