Best recent start-ups in big data, analytics & crawling
The attention that big data, analytics and web crawling are getting in the business markets is huge but so is the potential that they hold for the future. Analytics and data-driven strategies have become an essential component for any business looking to stay competitive by successfully delivering measurable results. The knowledge of trends and predictions that comes from analyzing big data is being applied successfully in fields such as strategic planning, marketing, pharmaceutical research, CRM, and cyber-security.
Year 2014 saw a proliferation in market projections and forecasts, an increased focus on applicability of relevant data on business dynamics and daily change in competitive dynamics through the insights provided by big data and web crawling. As a part of its big data and analytics predictions for 2014, IDC, a research firm had predicted that the market for big data will reach $16.1 billion in 2014.
According to the results of a report by NASSCOM and CRISIL Global Research and Analytics, the global Big Data market is expected to reach $25 billion by 2015, up from $5.3 billion in 2011. Another study by IDC, has predicted that the market for Big Data technologies will reach $32.4 billion by 2017. In other words, this is about six times the growth rate of the overall information and communication technology market. In light of this spurt of growth and interest, several new companies dealing in big data, analytics and web crawling are coming up around the world.
Here’s a list of a few promising startups in this field.
1. Rubikloud Technologies
This Toronto-based company, founded in 2013, claims that its scalable, SaaS-based platform can easily collect business data from multiple sources, turning any retail business into a big data-ready organization! The Rubikloud solution promises real-time processing of continuous streams of data from e-commerce platform, end-user behavior, marketing systems, CRM, and offline POS, for faster modelling. The Rubikloud team, headed by Dan Theirl and Kerry Liu, works on real-time big data analytics company with a mission to turn data into revenue.
2. Data Gravity
Co-founded by Paula Long and John Joseph in Nashua, NH in 2012, Data Gravity provides businesses a patented platform that not only changes how they manage their data but also helps them gain actionable insights from that data. The team includes members from storage, business intelligence, search, data protection, and virtualization disciplines forming the industry’s first data-aware storage platform with a mission to unlock the value embedded in unstructured information assets. The organization emphasizes the need of businesses to think of storage as a strategic business asset and not just a data repository.
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Founded in Seattle, by Steve Sliwa and Brian Parsonnet, Seeq’s mission is to transform industrial process data (IPD) into useful information and actionable intelligence. Taking into consideration the high volumes, variety and velocity of IPD, Seeq provides software and services that derive rapid insight and analytics to help organizations learn what can work in their favor and what cannot. Founded in 2013, Seeq operates under the principles of a lean-startup, and their expert development and consulting teams leverage agile techniques in their endeavor to help organizations derive increased earnings through continuous improvement.
4. Splice Machine
Monte Zweben and John Leach co-founded this San Francisco-based company in 2012, which claims to provide the only Hadoop RDBMS. Splice Machine delivers a database solution that incorporates the scalability of Hadoop, the standard ANSI SQL and ACID transactions of an RDBMS and the distributed computing power of HBase. The goal of the company is to provide companies with a high-performance, massively scalable database for applications without compromising with SQL support, secondary indexes, joins, and transactions.
This organization was instituted in San Francisco by Steve McCanne in 2013 for managing all the analytics “solutions” for the world of enterprise IT. Jut develops software for capturing and analyzing big data and also provides businesses with the tools to turn that data into actionable insights. This helps in quickly adapting to the system to make it work for businesses and enabling them with competencies to gain strategic advantage. The Jut team shares a vision to change the way people work by transforming a collection of disparate, siloed, billion dollar market into a unified experience so that businesses can find answers faster, manage smarter, and spend less money doing it.
Founded by Paul Maritz in San Francisco in 2013, Pivotal’s solutions intersect cloud, big data and agile development, creating a framework that increases data leverage, accelerates application delivery, and decreases costs. According to the company, no other vendor in the industry offers a comparable Platform as a Service (PaaS) platform that can support the range of services enabled in Pivotal Cloud Foundry. The goal of the company is to create software applications that leverage “big and fast data” on a single, cloud-independent platform. The company works to create solutions that intersect cloud, big data and agile development, providing a framework that increases data leverage, accelerates application delivery, and decreases costs.
Altiscale was founded in early 2012 by Raymie Stata, ex CTO of Yahoo. Based in Palo Alto, CA, Altiscale can take care of a business’ needs ranging from buying the hardware, managing and maintaining the platform, and keeping Hadoop updated. The company provides solutions that make running Hadoop easy and remove all the Hadoop-related problems to be able to focus on strategic planning. Altiscale’s mission is to help our customers discover value in the flood of data generated by the connected world by allowing customers to focus on data science, rather than running a Hadoop platform.
8. SIBIA Analytics
According to the findings of a joint report by NASSCOM and CRISIL Global Research & Analytics emerging markets such as India and China are expected to become a hub for high-end data solutions with the Indian Big Data industry expected to grow at a CAGR of 83 percent from US$200 million in 2012 to US$1 billion in 2015. With such a promising anticipated growth, SIBIA Analytics, a technology integrated predictive analytics company based in Kolkata, India, is a fast emerging company. Founded by Angshuman Bhattacharya, the company operations in 2013 and focuses on marketing and sales optimization for retail and consumer products brands. SIBIA’s innovative analytic decision enabling tools will help predict future outcomes and recommend actions to improve business ROI. The company provides solutions for the Indian market understanding the dynamics and nuances of the Indian market.
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