BIG DATA TOOLS
SO WHAT DO YOU DO WITH YOUR GOLD MINE OF INSIGHTS?
Happiest Minds presents TOP 10 open source technologies that are the best in the market to harness, analyze and make the most sense out of Big Data.
We are in an ever expanding marketplace!!!
With shorter product lifecycles, evolving customer behaviorand an economy that travels at the speed of light AND
Information (which we now have more than enough access
to) has gone on to be more about analytics and business
You simply can't talk about big data without mentioning
Hadoop
The Apache distributed data processing software is so pervasive that sometimes the terms "Hadoop" and "big data" get used
synonymously
Hadoop is known for the ability to process extremely large data in both structured and unstructured formats reliably replicating chunks of data to nodes in the cluster and making it available locally on the processing machine
If Hadoop is the big data mahout, MapReduce happens to be it’s lifeline
A programming model and software framework for writing applications, MapReduce works to rapidly process vast amounts of data in parallel on large clusters of compute nodes
Widely used by Hadoop, as well as many other data processing applications
GridGain is a Java based middleware for faster in-memory processing of Big Data in real time
GridGain is compatible with the Hadoop Distributed File System
Requires Windows, Linux or Mac OS X operating system GridGain offers an alternative
Developed by LexisNexis Risk Solutions, HPCC is short for "high performance computing cluster"
HPCC Systems delivers on a single platform, a single
architecture and a single programming language for data processing
Both free community versions and paid enterprise versions are available
Storm differs from other tools with it’s distributed, real-time, fault-tolerant processing system, unlike batch processing
systems of Hadoop
Real-time computation capabilities, it is fast and highly
scalable, often being described as the "Hadoop of real-time" Fault-tolerant and works with nearly all programming
languages, though typically Java is used
Cassandra is a highly scalable NoSQL database for massive data across multiple data centers and the cloud
Used by many organizations with large, active datasets, including Netflix, Twitter, Urban Airship, Constant Contact, Reddit, Cisco and Digg
Its commercial support and services are available through third-party vendors
Originally developed by Facebook, it is now managed by
HBase is the non-relational data store for Hadoop
Being a column-oriented database management system,
HBase is well suited for sparse data sets and is written in Java Supports writing applications such as Avro, REST and Thrift Features include:
linear and modular scalability strictly consistent reads and writes
automatic failover support and much more
Developed as part of the Apache Hadoop project, HBase runs on top of
MongoDB was originally developed by 10gen designed to support humongous databases
It's a NoSQL database written in C++ with document-oriented storage, full index support, replication and high availability and scales horizontally without compromising functionality Commercial support is available through 10gen
mongoDB literally comes from the term ‘humongous’ and is the most
Neo4j boasts performance improvements of up to 1000x or more versus relational databases
Stores data structured in graphs instead of tables and is a disk-based, fully transactional Java engine
Organizations can purchase advanced and enterprise versions from Neo Technology
Developed by Neo Technologies, this is the world’s leading graph
CouchDB stores data in JSON documents that can be accessed via the web or query using JavaScript
Offers distributed scaling with fault-tolerant storage Key featured include:
On-the-fly document transformation Real-time change notifications
Easy-to-use web administration console
About Happiest Minds Technologies
Happiest Minds enables Digital Transformation for enterprises and technology providers by delivering seamless customer experience, business efficiency and actionable insights through an integrated set of disruptive technologies: big data analytics, internet of things,
mobility, cloud, security, unified communications, etc. Happiest Minds offers domain centric solutions applying skills, IPs and
functional expertise in IT Services, Product Engineering, Infrastructure Management and Security. These services have applicability across industry sectors such as retail, consumer packaged goods, e-commerce, banking, insurance, hi-tech, engineering R&D,
manufacturing, automotive and travel/transportation/hospitality.
Headquartered in Bangalore, India, Happiest Minds has operations in the US, UK, Singapore, Australia and has secured $ 52.5 million Series-A funding. Its investors are JPMorgan Private Equity Group, Intel Capital and Ashok Soota.
For more information, visit http://www.happiestminds.com