Showing posts with label Hadoop. Show all posts
Showing posts with label Hadoop. Show all posts

Wednesday, September 6, 2017

MapR raises $56 million for big data management

MapR Technologies, which offers a Converged Data Platform that integrates analytics with operational processes in real time, announced $56 million in new equity investment from its existing investors.

MapR reported 100 percent quarterly billings growth for its second quarter of fiscal 2018, which ended on July 31, 2017, one of the largest increases for the company. The company cited
over 100 percent year over year growth in new subscription billings from Global 2000 customers such as American Express, Audi, Cisco, Ericsson, HPE, Novartis, NTT Security, SAP, UnitedHealthcare and Wells Fargo.

Some Q2 Highlights:

  • MapR introduced MapR-XD, a cloud-scale data store to manage files and containers. As part of the MapR Converged Data Platform, MapR-XD uniquely supports any data type from the edge to the data center and multiple cloud environments with automatic policy-driven tiering from hot, warm or cold data. MapR-XD enables customers to create vast, global data fabrics which are inherently ready for analytical and operational applications making it easier to operationalize data.

  • MapR formed a partnership with NTT DATA Business Solutions Asia Pacific, one of the largest SAP reseller and solutions based consulting firms globally to help customers optimize and find more cost efficiencies for their SAP deployments using the MapR Converged Data Platform. MapR partners include Amazon, Cisco, Google, HPE, Microsoft, SAP and Teradata.

"Our customers and partners continue to be at the forefront of this 30-year re-platforming the industry is going through today. We are working closely with them to ensure their success and helping them to execute on their digital transformation and data strategies," said Matt Mills, CEO, MapR Technologies.

MapR is based in San Jose, California.

http://www.mapr.com


  • In May 2014, MapR Technologies raised $110 million in venture funding for its distribution for Apache Hadoop software. Google Capital led the $80 million equity financing. Also participating was Qualcomm Incorporated, through its venture investment group, Qualcomm Ventures, and existing investors including Lightspeed Venture Partners, Mayfield Fund, NEA and Redpoint Ventures.  In addition to the equity financing, MapR completed a debt facility of $30 million led by Silicon Valley Bank.

Saturday, April 29, 2017

Cloudera Pops 20% on First Day of Trading

Shares in Cloudera (NYSE: CLDR) rose over 20% on their first day of trading to close at $18.09 and giving it a market cap of about $2.3 billion. The IPO price was $15.

Cloudera, which was founded in 2008 and is based in Palo Alto, California, specializes in enterprise analytic data solutions powered by Apache Hadoop. Cloudera's overall revenue was about $261 million last year, up significantly from the year before. The company has approximately 1,600 employees.

http://www.cloudera.com

Cloudera's Latest Funding Round Brings Up $900 Million

Cloudera confirmed that its latest funding round, which included a strategic investment from Intel, amounts to $900 million.  This financing round includes the previously-announced $160 million of funding from T. Rowe Price and three other top-tier public market investors, Google Ventures, and an affiliate of MSD Capital, L.P., the private investment arm of Michael Dell and his family, and a significant equity investment by Intel that gives them an 18% share of Cloudera.

“The market opportunity for companies to gain insight and build transformative applications based on Hadoop is tremendous,” said Tom Reilly, CEO of Cloudera. “Clearly, demand is accelerating and the market is poised for growth – for all of the players in this space, and we believe Cloudera will be the company to lead this global shift in extracting value from data. This position of strength and leadership is evidenced by the strong support of public market investors, large institutional investors and now key strategic investors including Intel, who’ve made sizable and significant contributions to cement our platform offering.”

Monday, September 28, 2015

UNIFi Raises $10 Million for Big Data Integration Software

UNIFi Software, a start-up based in San Mateo, California, raised $10 million in Series A funding for its enterprise data integration solution.

The company's mission is to build an application that enables the business to acquire data, integrate it, enrich it, and load it into a flexible environment where agile and iterative analytics can occur. UNIFi is building a business application that combines Big Data integration processing layered with an elegant and simple user experience .

The company will use the new round of funding to scale customer acquisition by ramping up its sales and marketing team; to execute on UNIFi's product vision by growing the engineering team; and to accelerate market capture through the introduction of a cloud-based free trial version of the product. UNIFi provides an elegant and simple user experience that enables line of business users to search and discover data assets of interest across the entire enterprise landscape; acquire, enrich and integrate those data assets; and then seamlessly derive insight within their analytics tool of choice. Customers include the likes of Disney, A.T. Kearney and Havas Media Group.

"This layer of the enterprise software stack is primed for disruption," said Rob Carlson, CEO and co-founder at UNIFi. "There's a groundswell movement of self-service access to data, and UNIFi is uniquely positioned to lead this charge. Now we can do even more to enable our customers to become data-driven enterprises, and provide a truly innovative experience around analytics."
Pelion is an early-stage venture capital firm that works closely with visionary entrepreneurs to build innovative and disruptive businesses. Pelion has been an early investor in technology companies such as Riverbed Technologies, CloudFlare, Fusion-io and Soasta.

http://unifisoftware.com/

Tuesday, May 5, 2015

Cloudera and Intel Accelerate Big Data Encryption by 2.5X

Cloudera and Intel have been able to achieve a 2.5X improvement in encryption off-load performance, enabling an entire Hadoop data set to be encrypted with a system overhead that ranges from only 1% to 4% depending on the workload.

The gains are made by optimizing Cloudera’s distribution, including Apache Hadoop, with the latest Intel Xeon processor with embedded Intel AES New Instructions (Intel AES-NI) has enabled more robust protection of critical enterprise data. As a result, full database encryption is now possible with minimal impact to system performance so that processing resources can run Hadoop jobs at a faster rate, and perform additional Hadoop jobs to accelerate business insights.

Cloudera also disclosed that following Intel’s $740M investment last year, its annual recurring subscription software revenue grew 100 percent year-over-year and enterprise subscription software customers grew by more than 85 percent.

http://www.cloudera.com/

Monday, April 13, 2015

Hortonworks to Acquire SequenceIQ for Launching Hadoop Clusters in the Cloud

Hortonworks, which offers enterprise Apache Hadoop solutions, agreed to acquire SequenceIQ, an open source provider of rapid deployment tools for Hadoop. Financial terms were not disclosed.

SequenceIQ, which was founded in February 2014, allows organizations to deploy secure and elastic HDP clusters in a consistent manner across the entire analytics application lifecycle. Simple set up will now allow customers to launch HDP into any major cloud platform, including Microsoft Azure, Amazon Web Services, Google Cloud Platform and OpenStack. SequenceIQ also optimizes these deployments via policy-based autoscaling that expands and contracts clusters based upon actual usage metrics. Its products include Cloudbreak, an elastic and cloud agnostic deployment solution for HDP clusters, and Periscope, which provides policy-based autoscaling for multi-tenant HDP clusters.

Hortonworks said the acquisition will enable it to deliver a consistent and automated solution for launching on-demand Hadoop clusters in the cloud or to any environment that supports Docker containers. The transaction is expected to close in Q2. Upon close, Hortonworks will incorporate SequenceIQ technology into the Hortonworks Data Platform (HDP) and ultimately transition the technology to the Apache Software Foundation.

"The SequenceIQ team has developed key tools that allow enterprises to efficiently automate the launching of Hadoop clusters on any cloud infrastructure platform across the entire lifecycle, from proof-of-concept to development, test and production," said Rob Bearden, chief executive officer of Hortonworks. "This acquisition complements our strategy of providing enterprise customers the broadest choice of consumption options for Hortonworks Data Platform, from on-premise deployments to cloud architectures."

"SequenceIQ and Hortonworks are aligned on providing customers an automated method for launching on-demand Hadoop clusters with policy-based autoscaling across public or private clouds within minutes," said Janos Matyas, co-founder and chief technology officer of SequenceIQ. "We are excited to be joining the Hortonworks team to deliver on this vision and look forward to continuing our work within the open source community."

http://www.hortonworks.com

Friday, December 12, 2014

Hortonworks Soars in IPO

Shares in Hortonworks, which offers enterprise Apache Hadoop solutions, soared on Friday from an IPO price of $16.00 to close at $26.48 - up 65% for the first day.  The share are traded on the NASDAQ Global Select Market under the symbol “HDP.”

Hortonworks raised approximately $100 million through the IPO.  The company is based in Palo Alto, California.

http://hortonworks.com/


  • Hortonworks develops, distributes and supports a 100% open source Apache Hadoop data platform that deeply integrates with existing IT investments and upon which enterprises can build and deploy Hadoop-based applications. The company has deep relationships with the key strategic data center partners, including Microsoft, SAP, Teradata, HP and others.

Thursday, July 24, 2014

HP Bets $50 Million on Hortonworks for Hadoop

HP is making a $50 million equity investment in Hortonworks, a start-up based in Palo Alto, California, that offers enterprise Apache Hadoop solutions. The companies said the investment builds on the reseller agreement put in place last year.

The companies also plan to integrate the Hortonworks Data Platform with key HP technologies including the marquee HP HAVEn offering.

http://hortonworks.com/blog/hp-hortonworks-deepen-relationship/

In March 2014, Hortonworks announced an oversubscribed $100 million funding round to support it enterprise Apache Hadoop solutions.

Hortonworks develops, distributes and supports a 100% open source Apache Hadoop data platform that deeply integrates with existing IT investments and upon which enterprises can build and deploy Hadoop-based applications. The company has deep relationships with the key strategic data center partners, including Microsoft, SAP, Teradata, HP and others.

The new funding round was led by funds managed by BlackRock and Passport Capital, joined by all existing investors.

http://www.hortonworks.com

Monday, June 30, 2014

MapR Raises $110 Million for Apache Hadoop

MapR Technologies, a start-up based in San Jose, California, raised $110 million in venture funding for its distribution for Apache Hadoop software.

MapR has significant production Hadoop environments in financial services, healthcare, media, retail, telecommunications, and Web 2.0 companies.  The financing will be used to continue growth in the big data and analytics segment, especially to fund additional engineering resources and support open source projects, such as Apache Drill, Hadoop 2.2 with YARN, and Apache Spark.

Google Capital led the $80 million equity financing. Also participating was Qualcomm Incorporated, through its venture investment group, Qualcomm Ventures, and existing investors including Lightspeed Venture Partners, Mayfield Fund, NEA and Redpoint Ventures.  In addition to the equity financing, MapR completed a debt facility of $30 million led by Silicon Valley Bank.

"Google has a long-standing commitment to Hadoop, making Google Capital an ideal investor for MapR. This investment round recognizes our customers’ rapid adoption, their tremendous results and ROI, and also the capital efficiency of our business model,” said John Schroeder, CEO and co-founder of MapR Technologies. “It’s extremely gratifying to bring these high-caliber strategic investors on board, including Qualcomm who is the leader in the mobile ecosystem and also at the forefront of the Internet of Things, to help us accelerate growth and position the company for global leadership.  Our installed base of more than 500 paying licensees provides a strong foundation and we are excited to move forward with the tremendous resources from our new and current financial investors.”

“Hadoop is a cornerstone for the big data ecosystem, and MapR has demonstrated its leadership in the space,” said Albert Wang, director, Qualcomm Ventures. “We invested in MapR because of the strength of its technology in leveraging the expanding Internet of Things and providing immediate business benefits."

http://www.mapr.com/company/press-releases/mapr-closes-110-million-financing-led-google-capital

  • In March 2014, Cloudera confirmed that its latest funding round, which included a strategic investment from Intel, amounted to $900 million.  This financing round includes the previously-announced $160 million of funding from T. Rowe Price and three other top-tier public market investors, Google Ventures, and an affiliate of MSD Capital, L.P., the private investment arm of Michael Dell and his family, and a significant equity investment by Intel that gives them an 18% share of Cloudera.
    Cloudera offers enterprise analytic data management software powered by Apache Hadoop, which is the underlying technology behind a growing number of Big Data projects.

See also