Amazon released its latest version of Elastic MapReduce (EMR) 5.0 that is aimed to help data scientists and other interested parties looking to manage big data projects with hadoop. The EMR release includes support for 16 open source Hadoop projects.
As the use and adoption of Hadoop continues to grow among enterprise, MapR has announced $50 million funding to get ready for an IPO and secure its place as a leading hadoop vendor. Hadoop market is a tough three-horse race between MapR, Cloudera and Hortonworks.Cloudera has raised $1 billion till date and Hortonworks made it to the strong public listing debut in 2014.
MapR and Hortonworks - two of the biggest Hadoop distributions, announced their deals and gave a fair idea of how Hadoop stands in the current commercial market. MapR just published that they for their 5th round of funding - for at least $50 million and Hortonworks, though had a disappointing Q2 2016 results, and came in with the announcement of their second product line.
Hadoop is definitely faster with in-memory caching. To speed up the data processing all round, you need to speed up the HDFS file access. Hortonworks DataFlow is an integrated platform that makes data ingestion and processing easier and faster in Hadoop.
The challenge of using the distributed computing system of hadoop that everyone wants the Hadoop cluster for their own work exclusively. But the whole point on why Hadoop was opted for rather than Mainframes is because of it processing speed and storage capacity. Pepperdata - provides one such solution for the health check of the Hadoop clusters. This is done so that everyone can get the processing time in the Hadoop clusters for their own work.
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Apache Spark might be the hottest technology today in the big data world but Research and Market analysts predict that Hadoop continues to be as hot as ever. The global hadoop market is anticipated to grow at a CAGR of 63.4% in the next 5 years reaching $84.6 billion by 2021. Hadoop is likely to witness strong enterprise demand in Europe with annual growth rates reaching 65%. “Factors such as aggrandized generation of structured and unstructured data and efficient and affordable data processing services offered by Hadoop technology are the major drivers of the market,” the researchers said in a statement.
SAP SA is all set to take the final step on acquiring a Palo Alto based startup Altiscale Inc. for $125 million. Altiscale provides managed data processing services. SAP plans to integrate Altiscale services into its cloud based analytics portfolio that is based on it in-memory HANA database. Altiscale has a premium edition known as Altiscale Insight Cloud that layers BI functionalities on top of the Hadoop system. SAP plans to make use of the premium edition service of Altiscale to provide hosted Hadoop implementation available to its customers to bridge the functionality gaps in its line-up and solve a new set of use cases that it was not able to support earlier.
Earlier users had to purchase the Aster database to make use of Aster analytic capabilities but now Teradata has decoupled Aster Analytics from its underlying database .The latest version of Aster Analytics will render unique analytics functions of Aster as software-only for Hadoop and AWS cloud.