Big data and analytics are hot growth areas across all industries globally. With the boom in companies asking for big data services, the market today has several suppliers dedicated to link disparate data with tools and generate insights. These startups have ventured into the space of several or all realms of the big data and analytics experience.
The increasing number of startups in big data and analytics have caught the attention of venture capital firms globally. These venture capital firms offer funds dedicated to big data startups and are significantly instrumental in inspiring innovation across this arena.
In this article, we put together 10 companies worldwide, with innovative solutions they provide through their unique platforms, and are emerging quickly in the big data landscape.
Founded in 2013, Cohesity has pioneered in providing a hyper-converged secondary storage that consolidates all data services into one unified solution. It also simplifies data protection across the enterprise, providing access to test/dev copies and analytics.
The company has received accolades from several big players and attracted huge investments. Gartner tagged the company ‘A Cool Vendor in Storage Technologies’ this year. The total equity funding received by Cohesity is a whopping US160 million, coming from the likes of Qualcomm ventures, and Hewlett-Packard Pathfinder. It’s proud consumer base includes several Global 1000 companies.
CEO: Mohit Aron
Panoply.io, founded in 2015, is rather a young company headquartered in Tel Aviv, Israel. The company provides a platform for end-to-end data management for analytics on the cloud. The platform optimizes the source to analysis process by eliminating management of complex data infrastructure. As a result, the efficiency increases by 80%, largely saving the time of analysts and data scientists.
Panoply.io managed to raise US$8.3 million in equity funding since its inception, The company raised US$7 million in funding in 2016 alone from two investors. The company’s software uses machine learning and natural language processing (NLP) to learn, model and streamline the data. The product gives an option of flexible data integration from storage systems such as Hadoop, Amazon S3; all kinds of databases; and analytics and BI tools all under one platform.
CEO and Co-Founders: Roi Avinoam, Yaniv Leven
With US$33.6 million capital raised since its founding year in 2011, H2O.ai has launched several products for companies to adopt AI through software. H2O is an open-source deep learning platform for smarter applications and data products. The company has presence in around 9000 organizations. H2O is functional in predictive maintenance, operational intelligence, ICU monitoring, and servicing industries like Telecom, Marketing, Finance, Health, Banking, and Insurance.
The H2O software runs with R, Python, and other programming environments and web applications. The software is used for exploring and analyzing datasets in cloud computing systems and in the Apache Hadoop Distributed File System (HDFS). The company’s customers today include big names like Cisco, PayPal, eBay, etc.
CEO: Srisatish Ambati
Wavefront is a cloud platform based on stream processing approach for ingesting, storing, visualization of time series (metric) data. This startup was founded in the year 2013 and is headquartered in Palo Alto, California. The company has so far managed to raise an impressive US$65.5 million in funds and got acquired by VMWare this year.
The company has build an analytics platform that automates finding anomalies and bugs on real-time data from the entire architecture. It also provides easy monitoring and intelligent alerting of the data. The company’s customers include Groupon, Citrix, FirstData and many more.
CEO: Pete Cittadini
BigTerminal, founded in 2014, is a Canada-based big-data powered news platform for providing key insights on users interests which specialize in filtering noise from the signal. This interesting concept is based on the fact that in today’s digital age, the web is cluttered with content which stymies the process of finding quality data. To ease this, BigTerminal provides insights in the sectors of finance, macroeconomics and energy, among others.
The platform maps and analyzes news and data generated worldwide, identifies the most important ones, and delivers personalized and relevant insights to customers. The company aims to optimize the decision making of professionals in different sectors with its services.
CEO: Adam Rabie
A Philadelphia startup founded in the year 2008, RJMetrics focusses on providing intelligence solutions to online businesses. The company has helped several small and mid-size e-commerce businesses in acquisition and retention of customers. They acquire customer data from several sources including shopping-carts, backend databases, CRM systems and marketing platforms to provide insights. With a total funding of US22.75 million, the company recently got acquired by Magento Commerce.
CEO: Bob Moore
Founded in 2006, SnapLogic has received a funding of US$136 million from the likes of Microsoft Corporation, Capital One and so on. The company aims at providing easy, fast and scalable integration of all hybrid, cloud and on-premises applications and data. SnapLogic’s AI tool applies machine learning to learn from millions of data elements for enterprise integration.
SnapLogic caters to over 2000 companies globally and has been instrumental in helping them with successful integration.
CEO: Gaurav Dhillon
PHEMI Health Systems
Founded in 2013 in Vancouver, PHEMI is a process automation and big data platform that stores and mines patient data to improve clinical productivity and medical research. With a funding of US$22 million, the PHEMI solution works with hospital EMRs, databases, and information systems to bolster evidence-based decision making.
The company’s product- PHEMI Central aims at providing data warehousing with a powerful metadata framework to manage data with privacy, security, and governance. PHEMI has been ranked among the Most Significant Companies in a research firm’s Big Data Warehouse Report.
CEO: Dr. Paul Terry
A cybersecurity startup founded in 2013, DataVisor is now a leading financial fraud and crime detection platform which uses unsupervised machine learning for identifying malicious account campaigns. The unique feature is that it does not rely on historical data for identifying patterns of threats. It boasts of early warnings, high precision and recall, and its scalability. It has been recognized as one of the most innovative cybersecurity solutions at SINET, 2016. Companies like Pinterest, Yelp, Alibaba Group rely on its services.
CEO: Yinglian Xie
A leader in self-service data analytics, Alteryx was founded in 2010, went public in March 2017. Alteryx has collected a funding of around $163 million through companies like Thomas-Reuters, SAP Ventures, Insight Venture Partners, to name a few.
Alteryx Analytics provides analysts with the ability to easily store, blend and analyze all of their data using repeatable workflow and share analytics for insights in hours. Analysts can integrate and cleanse data from data warehouses, cloud applications, spreadsheets and other sources. They can then perform analytics – predictive, statistical and spatial – using the drop-down based user interface, without programming.
CEO: Dean Stoecker