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, self-
optimized, 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.

Top 20 Big Data Tools 2019

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