Inventory 2014:10 coolest Big Data startups

In recent years, few it segments have been able to attract the attention of entrepreneurs like big data markets. Today, businesses and consumers are producing TB and even petabytes of data, and a large number of companies are also ramping up research and development to collect, store, manage, and analyze data.

The following are 10 emerging data start-ups that have been particularly notable in the 2014 data field

1. Aerospike

Founder and Cto:brian Bulkowski

Companies, including MongoDB, COUCHBD and Redis, are vying for the market share of next-generation databases. Aerospkie was founded in 2009 and is headquartered in Mountain View, California. The company developed a set of real-time, flash-optimized NoSQL databases for high-performance applications.

The memory database meets the acid (atomicity, consistency, isolation, persistence) requirements of reliable transactions. Forensiq, a company that provides online advertising fraud detection services, said in November Forensiq that it would need to process 1 trillion requests per month with the database provided by Aerospike.

At the beginning of the year Aerospike received 20 million U.S. dollars in C round financing. In the November, Aerospike optimized database performance, enhanced storage capabilities, and integrated new features with Hadoop.

2. Altiscale

Ceo:raymie Stata

Hadoop was very hot in the 2014, but its large data platform is still very complex and difficult to use. That's why Altiscale and its Hadoop service are compelling. The main purpose of Altiscale's service is to solve the abstraction and complexity of Hadoop, to build a complete hadoop environment for engineers, and to maintain and manage them so that users can focus more on their data and applications. When the customer's demand changes, Altiscale will also make corresponding adjustments and changes. He can also deliver Apache Hadoop plus business Support as a cloud service.

Altiscale, headquartered in Palo Alto, Calif., was founded in 2012. This October, the company began providing SQL services on Hadoop, which allowed access to Hadoop data by using SQL user interfaces or APIs.

Altiscale's top executives, including CEO Raymie Stata and CTO David Chaiken, are from Yahoo, the birthplace of Hadoop. These people know what they are doing. Earlier this month Altiscale received 30 million dollars in two rounds of financing.

3. Databricks

Ceo:ion Stoica

In 2014, Apache Spark was one of the most popular technologies in the field of data, a memory-processing engine that could improve the performance of large data systems like Hadoop. The Open-source software comes from a project at the University of California, Berkeley.

Databricks provides a platform based on Spark (published in June) to handle large data tasks such as data transformation, detection, and analysis. The Databricks company, founded in 2013, is not a pioneering company with open source technology as a gimmick. Databrickceoion Stoica, a professor of computer science at the University of California, Berkeley, and CTO Matei Zaharia created Spark, who used the big data one-stop service software to bring their expertise to work.

4. DataStax

Ceo:billy Bosworth

DataStax is another leader in the next-generation database market, and the company supports Apache Cassandra. The Apache Cassandra is a highly scalable, fault-tolerant NoSQL database that Cisco, ebay, and Twitter use.

DataStax Sales DataStax Enterprise Edition, which is a commercial version of the Cassandra and also sells tools and services to support the platform. Earlier this month, the company unveiled DSE4.6, which has a new spark flow analysis performance, indicating that the company began to dabble in the internet of things.

Founded in 2010, DataStax is headquartered in Santa Clara, Calif., with an astonishing $106 million trillion in financing in the September round, with a total of $190 million trillion in financing.

5. Datatorrent

Co-founder and Ceo:phu Hoang

Datatorrent is an enterprise-level real-time streaming analysis platform that helps users to process, monitor and analyze data in real time. The company claims that the Datatorrent RTS system based on Hadoop can perform hundreds of millions of or even 1 billion times per second.

One of the big challenges facing many industries today in large data areas is latency-such as streaming data that handles similar transactions. Datatorrent co-founder and CEO Phu Hoang, who led the development of Hadoop in Yahoo, also saw a chance to develop similar data Torrent RTS products. The Santa Clara start-up company, founded in 2012, released the RTS 2.0 in June of the Datatorrent rts,10 month.

6. Qubole

Co-founder and Ceo:ashish Thusoo

HADDOP-based Qubole data service is a cloud platform that enables organizations to store and manage large amounts of structured and unstructured data and perform data analysis and other tasks. You may say that Qubole is narcissistic: The company focuses on making its platform as large as possible and other built-in management capabilities, and that friendly user interaction and data integration do not require data scientists or programmers.

The company's CEO, Ashish Thusoo, and Joydeep Sen Sarma, President of India, founded Qubole together in 2012. Previously, they managed the Facebook data Infrastructure team, which was responsible for large data processing, and then joined the Hadoop hive Data warehousing infrastructure project. At the beginning of the month, the company received 13 million dollars in financing for the B round.

7. Snowflake Computing

Ceo:bob Muglia

Snowflake Computing, which emerged in October, launched a cloud-based data warehousing service that is positioned as a replacement for complex, expensive local data warehousing systems designed to achieve flexibility and ease of management. Snowflake's elatic data warehousing is still beta, and in the future it will likely replace Amazon's Web services redshift and Google's big Query.

CEO Bob Muglia said: "Snowflake's Elastic Data warehousing service is 90% less expensive than local data warehousing and easier to use than the competitor AWS and Google products." Snowflake Computing currently developed database system can handle both structured and semi-structured data "

8. SumAll

Ceo:dane Atkinson

SumAll that not only large enterprises need large data analysis, small and medium-sized also need. The new york-based start-up provides an online analytics platform for companies to collect data on business e-commerce, mail markets, social media, advertising systems (such as Google's AdWords) and display them in an interactive visual interface.

SumAll was founded in 2011, focusing on the ease of use of products, its products are not only sold to large enterprises, but also sold to small and medium-sized enterprises. The company's Web site statistics show that the company has 233,000 of SumAll users, 14 million U.S. dollars in financing, the average age of employees 32.6 years old, the annual consumption of 22 barrels of beer.

9. Tamr

Co-founder and Ceo:andy Palmer

One problem with large data is that the data is too large, and large data usually have many different data sources, and these data sources are always changing.

The TAMR company's software provides a single view of these data sources through machine learning technology, while providing a complete inventory of data assets for the enterprise and finding links between distributed datasets. The company's technology was originally from the MIT Computer and Artificial Intelligence laboratory.

2013, database expert Michael Stonebraker, industry veteran expert Andy Palmer and Ihab Ilyas together to create TAMR, this May, the company officially run. Meanwhile, a company based in Cambridge and Massachusetts raised 16 million of dollars in venture capital.

Wibidat

Co-founder and Ceo:christophe Bisciglia

We all know that Amazon can provide a customized experience for the merchant. Founded in 2010, Wibidata in San Francisco has developed a real-time application that provides similar services.

The company's Wibi Enterprise platform uses advanced analytical techniques to provide consumers with recommended, customized content and related search results. The platform is based on a set of open source Apache technologies, including Hadoop, HBase, and Cassandra, as well as the Kiji Open source framework for real-time collection, analysis, and service data. At the beginning of the year the company released the Wibiretail, the company's first "out-of-the-box" application for retailers.

Investors include Google chairman Eric Schmidt and Cloudera founder Mike Olson.

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