Hadoop is #1 in Top 23 Big Data platforms

Last updated: January 02, 2020
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

Positions in ratings


#1 in Top 23 Big Data platforms

Alternatives


The best alternatives to Hadoop are: Snowflake, Apache Spark, Apache Hive, Apache Cassandra, Teradata



Latest news about Hadoop


2014. MapR partners with Teradata to reach enterprise customers



The last independent Hadoop provider MapR and big data analytics provider Teradata announced that they will work together to integrate and co-develop their joint products and to create a unified go to market strategy. Teradata will also be able to resell MapR software, professional services, and provide customer support. In other words, Teradata will be the face of MapR to enterprises who use, or want to use, both technologies. Until recently Teradata partnered most closely with Hortonworks, but now it’s sharing love and its analytic market leadership with all three providers. Similarly, earlier this week, HP announced Vertica for SQL on Hadoop, which allows users to access and explore data residing in any of the three primary Hadoop distros — Hortonworks, MapR, Cloudera.




2014. HP plugs the Vertica analytics platform into Hadoop



HP announced Vertica for SQL on Hadoop. Vertica is an analytics platform that enables customers to access and explore data residing in any of the three primary Hadoop distros — Hortonworks, MapR, Cloudera — or any combination thereof. Large companies are often using all three kinds of Hadoop because they don’t know which will be dominant. HP is one of the first big vendors to say “any flavor of Hadoop will do” by taking action, though it has invested $50 million in Hortonworks which is, at present, the flavor of Hadoop inside HAVEn, its analytics stack. HP’s announcement centers not only around its interoperability, but also its power on data stored in a data lake, enterprise data hub, whatever you want to call it. HP now provides a seamless way to explore and exploit value in data that’s stored on the Hadoop Distributed File System (HDFS). The power, speed, and scalability of HP Vertica with the ease with which Hadoop lassos big data might persuade reticent managers to come out from underneath their desks and take big data on.


2014. Cloudera helps to manage Hadoop on Amazon cloud



Hadoop vendor Cloudera announced a new product called Director that will make it easier for customers to manage their Hadoop clusters on the Amazon Web Services cloud. Senior Director of Product Marketing Clarke Patterson acknowledged that has not been easy to date while still maintaining the breadth of capabilities. Although there’s no difference between the cloud version and the on-premises version of the software, he added, the Director interface is designed to be self-service and includes cloud-specific capabilities such as instance-tracking so administrators can keep an eye on whose cloud instances are costing what.