The big data technology of ten major manufacturers

Hadoop's High-profile technology has become increasingly popular with big data, with many vendors entering large data areas with Hadoop or similar technology. At the Strata+hadoop World Congress, these vendors released their big data products and were mostly associated with Hadoop.

This paper will take stock of the innovative technologies of 10 major data manufacturers:

1.Cloudera.

Cloudera, a company specializing in sales and service of data management software based on Apache Hadoop, publishes the Impala 1.0 beta version of real-time query open source projects, hive times faster than the 3~90 SQL query based on MapReduce. Impala is a Google Dremel imitation, but inferior wins blue in SQL and is more flexible and easy to use.

2.Splunk.

American Business intelligence software provider Splunk Company released Splunk Hadoop Connect and Splunk App for Hadoopops. The former provides bidirectional integration to easily and reliably migrate data between Splunk and Hadoop, which allows real-time monitoring and analysis of the health and performance of the End-to-end Hadoop environment.

3.EMC.

EMC Corporation is a global information storage and management product, service, and solution provider that publishes EMC Greenplum Chorus open source code and works with Kaggle to tap the social platform of large data scientists. Kaggle is a social platform for more than 55,000 data scientists, and the members of all chorus communities are docking with data specialists in Kaggle. In addition, Actuate,advizor solutions,alpine Data labs,gnip,informatica,pentaho,pervasive,sas,syncsor and tableau Software will integrate his tools and plans with chorus.

4.MapR.

MAPR, a well-known commercial Hadoop provider, announces the new large data platform MAPR M7, which provides a more convenient, reliable and fast service for Hadoop and NoSQL. Through MAPR M7, large data range from batch analysis to real-time database function can achieve enterprise-level standards. Technically, MAPR M7 can significantly improve hbase performance. MAPR M7 can simplify the management of hbase, ensure that there is no separate process need to monitor and manage, without manual compression and merging, no manual database repair operations, to ensure that maintenance can be achieved without downtime.

5.SAP.

Global enterprise management software and solutions provider SAP has announced a new "big data" bundle to integrate Apache Hadoop into a real-time data warehouse environment based on the SAP HANA platform combined with SAP Sybase IQ Server, SAP data Integrator software, SAP businessobjects business FDI (BI) FX, the goal is to provide a comprehensive data warehousing solution for large datasets of different sources. With these integration scenarios, data from HDFs or hive databases can quickly enter SAP HANA or SAP Sybase IQ, helping users implement bi with existing reporting and analysis tools.

6. Microsoft.

Microsoft announces the integration of Apache Hadoop in Windows Server and Azure products to reduce the difficulty of enterprise deployment and management of Hadoop to gain insight into any data from a company's own system or any size on cloud computing, Microsoft technology Fellow David Campbell believes that new product users can also use Excel, PowerPivot for Excel and Power view, and other familiar tools to capture the data for analysis.

7.Simba.

Simba announced the launch of a large data driver suite for NoSQL, allowing any SQL database analysis or reporting tools to access any NOSQL data resources, enabling business intelligence such as Apachehadoop/hive,apache Cassandra, Google Bigquery,mongodb.

8.Datameer.

Hadoop mass Data analysis platform Datameer announces the launch of Datameer analytic applications harsh and a free trial version of Datameer 2.1. Through this platform, data scientists and SME domain experts can create, encapsulate, and sell related analysis applications to quickly meet the needs of different user data analysis, and enterprises do not have to spend a lot of time and resources to build analytic models, but through this app Harsh get the application and code for Hadoop as soon as possible with minimal cost. The Datameer application is an analytical application built on Hadoop that can process data of any class type or quantity, regardless of size, structure, semi-structured, or unstructured data.

9.Tableau Software.

Seattle Data analysis company Tableau Software announced a holistic Vision analysis program with partners for desktops, enterprise, networking, and mobile devices. Tableau Software has built a wide range of ecosystems to meet the various BI requirements based on the Hadooop architecture.

10.SiSense.

SiSense announced the introduction of the world's smallest large data analysis solutions SiSense Prism, designed to meet the needs of SMEs, start-up enterprises data analysis. Its solution is to analyze 1TB data on notebooks with only 8GB RAM memory. Without huge budgets, expensive hardware or data warehouses, and a small investment, SiSense Prism includes a high-performance analysis database, simple data extraction (ETL), and network-based data visualization.

To sum up, the charm of Hadoop has attracted the attention of many it vendors, with Hadoop as the main line of large data products are affecting the development of large data market, although the big data is not equal to Hadoop, but the status of Hadoop can not be replaced.

(Responsible editor: The good of the Legacy)