We’ve been hearing a lot about business intelligence (BI) and big data companies over the last few years. The most noticeable wave of big data began in 2015, where the market grew by almost 22% to a whopping $30 billion. The data companies were tasked with handling grew from petabytes to terabytes within a span of a few months. Leading established names like Spotify, Netflix and Uber have turned to big data management to optimize their services in the last couple of years. The start-ups that are focusing more on big data solutions are often finding it easier to qualify for venture capital and start-up funds from private lenders.
As a result, the past year has seen a flurry of new start-ups that capitalize on big data and database management for their cash flow. Here are the top ten coolest start-ups in the big data sphere.
Jeremy Achin is the founding member and CEO of this big data and machine learning platform. DataRobot aims at developing the best data practices and using them to capture trapped data. Very recently, DataRobot acquired Nutonian, a software development company specializing in data sciences. Currently, its total funding is around a whopping $120 million.
AtScale is a new-age data management and big data startup that has been working towards developing a software that can enable the integration of popular business intelligence tools with Hadoop. These business tools include Qlik and Tableau. Their creation aims at converting Hadoop into an analytical processing cloud server powerful enough for multi-dimensional analysis. Although CEO Dave Mariani founded the company in 2013, in 2017 AtScale launched its Version 5.5 with advanced features, including prediction-defined aggregates and complex business analytics.
Endor uses big data to model their predictive analytics platform for business services. They enable business users to find out who are the most likely candidates for a new service, or who are the people most likely to buy the new products. Their predictive analysis models have helped businesses all across the world find newly dedicated customer bases and meet their revenue requirement.
Ian Swanson, founder and CEO of DataScience, offers an enterprise-grade service for data management. It is in the same line as Oracle, but the new start-up offers more personalized services to their clients. The services combine advanced data tools, new languages, and language libraries to offer a complete data management experience. A new update from May 2017 made the services available across several cloud service providers. (To learn more about the advantage of using an integrated data management platform you can visit remotedba.com.)
Gluent is the best at what the startup calls “hybrid computing.” In 2018 hybrid computing platforms are rising to prominence. Businesses are turning to these platforms due to their personalized services that are akin to private clouds, and costs that are almost as much as shared clouds. Gluent is a little different from contemporary data companies, since they offer on-premise Hadoop clusters to boost query performance.
Nexla is developing and perfecting a data operations platform, which leverages machine learning to provide better data security. This startup can provide better security to data during storage and migration between two different platforms. Nexla managed to raise close to $3.5 million in seed financing immediately after its genesis back in 2016, and won the startup showcase top position at the 2017 Strata + Hadoop World Conference.
This startup develops knowledge-centric data searches based on discovery software. Maana focuses on data from several seemingly unconnected sources and turns the disjointed data into operational insight. The startup has already patented their Knowledge Graph Technology that powers their analytics platform. At the moment, the start-up has turned its focus on business applications and customer-oriented services, including the oil and gas industries, including Shell and Chevron.
Periscope Data is an effective solution to data storage problems for businesses and other startups. This startup has developed a software that can connect several databases. The connection powers multiple SQL queries across the databases, and the resulting analytical reports are completely shareable across the business departments. Although the company dates back to 2012, they managed to raise an unbelievable $25 million in 2016 November.
This start-up facilitates the simplification of business analytics operations across several platforms. Iguazio has the potential to partner several big data-oriented businesses and customer-centric services that deal with heterogeneous data types. In 2017, Iguazio earned a “Cool Vendor” position in Gartner’s database management and big data services.
Yaniv Leven is the founder and CEO of this startup that capitalizes on its unique approach towards automated data preparation, management, and modeling. Panoply.io has a complete cloud-based data warehouse that can power several processes that render data engineers, data scientists and server developers superfluous within a data management team. Currently, Panoply.io is working with Amazon Web Services to make machine learning a part of the daily data tasks of any IT services and Logistics Company.
These ten startups are changing the way people look at big data. When online business and entertainment moguls like Amazon and Netflix have started investing in big data and predictive analysis to serve their customers better, it is only a matter of time before big data becomes the way of life for the Android and iOS generations.
Sujain Thomas is a data IT professional who works closely with DBA experts to provide her clients with fantastic solutions to their data problems. She has contributed articles on remotedba.com.