Bigdata
Now Reading
Top 19 Free Apache Hadoop Distributions, Hadoop Appliance and Hadoop Managed Services
0

Top 19 Free Apache Hadoop Distributions, Hadoop Appliance and Hadoop Managed Services

Top 19 Free Apache Hadoop Distributions, Hadoop Appliance and Hadoop Managed Services
5 (100%) 15 ratings

Companies that are involved in big data or that need any data management prefers to use Hadoop Platform. A reason why they consider using the Hadoop platform is that of its low-cost implementation. In addition, the platform provides organizations with great data management provision. Hadoop platform is also scalable as a company can start with a single server and grow into thousands of platforms each providing storage and computation services. Hadoop is not only a storage system for a large amount of data but also provides data analyses in a computing environment. Unlike the traditional database, Hadoop platform can handle structured and unstructured data such as streaming data, images and video files.

Apache Hadoop project develops open source software for reliable, scalable, distributed computing. Apache Hadoop is an open source software for storing and analyzing massive amounts of structured and unstructured data terabytes and Hadoop can process big, messy data sets for insights and answers.

Top Free Apache Hadoop Distributions provides enterprise ready free Apache Hadoop Distributions. This includes Cloudera, IBM Open Platform, Hortonworks Sandbox, Apache Hadoop, MapR Community.

Top Hadoop Appliances providers offer hardware optimised for Apache Hadoop or enterprise versions. This includes Dell, EMC, Teradata Appliance for Hadoop, HP, Oracle, and NetApp Open Solution.

Top Hadoop Managed Services provides Hadoop as a Managed Services. This includes Amazon EMR, Microsoft HDInisght, Google Cloud Platform, Qubole, IBM BigInsights, Teradata Cloud for Hadoop, Altiscale Data Cloud and Rackspace Hadoop.

What are Hadoop Platforms?

Hadoop is one of its kind open source framework that aids in data management and storage of data big data. Hadoop can also be used in running application on clusters of community hardware. Hadoop is the center of big technologies as it provides a memory that aids in the storage of data. Hadoop can handle both structured and unstructured data. This provides the software with the flexibility to collect, process and analyze data from the various database provided. Hadoop is operated on a commodity serves that is scalable and flexible enough to accommodate thousands of hardware nodes and support massive data storage. Even when a node fails, the software continues to work independently and can have access to multiple nodes in a cluster.

Among the benefits associated with Hadoop, the features associated with the software are some of the reasons big companies consider it. Hadoop provides a framework support that allows processing of large data in a computing environment. Simply, most of the company consider the software due to scalability which is very valuable for companies with large data. Below are some of the features to enjoy with Hadoop.

What are Hadoop Platforms?

What are Hadoop Platforms?

  • Advanced Analytics: Hadoop allows advanced data analytics in the organization. The platform provides figures and facts that are accurate than other platforms on the market. Some advanced features such as predictive analysis and data visualization help to accurately analyze data. Furthermore, big data is often found to be distributed and largely unstructured. Hadoop breaks the unstructured data into pieces and assign each piece to a specific cluster node which assists in an analysis. Furthermore, Hadoop Provides actionable insights.
  • Platform Agnostic: Integrated with any distribution of Hadoop. Hadoop can be leveraged with other analytic platforms such as Hortonworks and MapR. This allows other vendors platform to store large structured and unstructured data as make it accessible to any search engines. Hadoop Distributed File System (HDFS) provides a distributed system that allows high throughput access of the application. In addition, Hadoop provides organizations with SQL capabilities and integrations that are powerful when used with corresponding tools.
  • Enterprise Ready: As an enterprise looking for a large data processing and analytic tool, Hadoop is ready for you. It provides trust built-in security and allows smooth operations and governance capabilities. Hadoop benefit organization by providing a platform to manages all data types at a low implementation cost. Since the platform is scalable, it can allow businesses to run the application on thousands of expandable nodes.

Top Free Apache Hadoop Distributions

Top Free Apache Hadoop Distributions includes Cloudera, IBM Open Platform, Hortonworks Sandbox, Apache Hadoop, MapR Community.

Top Free Apache Hadoop Distributions
PAT Index™
 
 
 
 
 

 

1

Cloudera

Cloudera offers the highest performance and lowest cost platform for using data to drive better business outcomes. Cloudera has a track record of bringing new open source solutions into its platform (such as Apache Spark, Apache HBase, and Apache Parquet) that are eventually adopted by the community at large. Cloudera Navigator provides everything your organization needs to keep sensitive data safe and secure while still meeting compliance requirements. Cloudera Manager is the easiest way to administer Hadoop in any environment, with advanced features like intelligent configuration defaults, customized monitoring, and robust troubleshooting. Cloudera delivers the modern data management and analytics…

Bottom Line

Cloudera help to capture, store, process and analyze vast amounts of data, empowering them to use advanced analytics to drive business decisions quickly, flexibly and at lower cost than has been possible before.

8.2
Editor Rating
8.8
Aggregated User Rating
2 ratings
You have rated this

Cloudera

2

IBM Open Platform

IBM Open Platform with Apache Hadoop builds the platform for big data projects and provides the most current Apache Hadoop open source content. IBM Open Platform with Apache Hadoop provides native support for rolling upgrades for Hadoop services. Support for long-running applications within YARN for enhanced reliability & security. Provides heterogeneous storage in HDFS for in-memory, SSD in addition to HDD. Spark in-memory distributed compute engine for dramatic performance increases over MapReduce and simplifies developer experience, leveraging Java, Python & Scala languages. Apache Hadoop projects included: HDFS, YARN, MapReduce, Ambari, Hbase, Hive, Oozie, Parquet, Parquet Format, Pig, Snappy, Solr, Spark,…

Bottom Line

IBM Open Platform with Apache Hadoop provides native support for rolling upgrades for Hadoop services. Support for long-running applications within YARN for enhanced reliability & security. Provides heterogeneous storage in HDFS for in-memory, SSD in addition to HDD.

8.2
Editor Rating
3.4
Aggregated User Rating
1 rating
You have rated this

IBM Open Platform

3

Hortonworks Sandbox

Hortonworks Sandbox is a personal, portable Apache Hadoop environment that comes with dozens of interactive Hadoop and it's ecosystem tutorials and the most exciting developments from the latest HDP distribution. Hortonworks Sandbox provides performance gains up to 10 times for applications that store large datasets such as state management, through a revamped Spark Streaming state tracking API. It provides seamless Data Access to achieve higher performance with Spark. Also provides dynamic Executor Allocation to utilize cluster resources efficiently through Dynamic Executor Allocation functionality that automatically expands and shrinks resources based on utilization. Hortonworks Sandbox

Bottom Line

Hortonworks Sandbox provides performance gains up to 10 times for applications that store large datasets such as state management, through a revamped Spark Streaming state tracking API.

8.2
Editor Rating
8.6
Aggregated User Rating
1 rating
You have rated this

Hortonworks Sandbox

4

Apache Hadoop

The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. 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. The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part called MapReduce. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The project includes the modules Hadoop…

Bottom Line

The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part called MapReduce. Hadoop splits files into large blocks and distributes them across nodes in a cluster.

8.3
Editor Rating
8.9
Aggregated User Rating
1 rating
You have rated this

Apache Hadoop

5

MapR Community

MapR Converged Data Platform integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage for developing and running innovative data applications. Modules include MapR-FS, MapR-DB, and MapR Streams. Its enterprise- friendly design provides a familiar set of file and data management services, including a global namespace, high availability, data protection, self-healing clusters, access control, real-time performance, secure multi-tenancy, and management and monitoring. MapR tests and integrates open source ecosystem projects such as Hive, Pig, Apache HBase and Mahout, among others. MapR Community

Bottom Line

MapR Converged Data Platform integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage for developing and running innovative data applications.

8.2
Editor Rating
8.4
Aggregated User Rating
1 rating
You have rated this

MapR Community

Top Hadoop Appliances

Hadoop Appliances providers offer hardware optimised for Apache Hadoop or enterprise versions . Top Hadoop Appliances providers includes Dell, EMC, Teradata Appliance for Hadoop, HP, Oracle, and NetApp Open Solution.

1.Dell

Dell provides PowerEdge servers, Cloudera Enterprise Basic Edition and Dell Professional Services, Dell PowerEdge servers with Intel Xeon processors, Dell Networking and Cloudera Enterprise and Dell In-Memory Appliance for Cloudera Enterprise with Apache Spark.

Dell

2.EMC

EMC provides Greenplum HD and Greenplum MR. EMC provides Pivotal HD, which is an Apache Hadoop distribution that natively integrates EMC Greenplum massively parallel processing (MPP) database technology with the Apache Hadoop framework.

EMC

3.Teradata Appliance for Hadoop

Teradata Appliance for Hadoop provides optimized hardware, flexible configurations, high-speed connectors, enhanced software usability features, proactive systems monitoring, intuitive management portals, continuous availability, and linear scalability.

Teradata Appliance for Hadoop

4.HP

HP AppSystem for Apache Hadoop is an enterprise ready Apache Hadoop platform and provides RHEL v6.1, Cloudera Enterprise Core - the market leading Apache Hadoop software, HP Insight CMU v7.0 and a sandbox that includes HP Vertica Community Edition v6.1 .

HP

HP-AppSystem

5.Oracle

Oracle Big Data Appliance X6-2 Starter Rack contains six Oracle Sun x86 servers within a full-sized rack with redundant Infiniband switches and power distribution units. Includes all Cloudera Enterprise Technology software including Cloudera CDH, Cloudera Manager, and Cloudera RTQ (Impala).

Oracle

Oracle Appliance

6.NetApp Open Solution

NetApp Open Solution for Hadoop provides a ready to deploy, enterprise class infrastructure for the Hadoop platform to control and gain insights from big data.

NetApp Open Solution

Top Hadoop Managed Services

Top Hadoop Managed Services provides includes Amazon EMR, Microsoft HDInisght, Google Cloud Platform, Qubole, IBM BigInsights, Teradata Cloud for Hadoop, Altiscale Data Cloud and Rackspace Hadoop.

1.Amazon EMR

Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost effective way to distribute and process vast amounts data across dynamically scalable Amazon EC2 instances.

Amazon EMR

2.Microsoft HDInisght

HDInsight is a managed Apache Hadoop, Spark, R, HBase, and Storm cloud service made easy. It provides a Data Lake service, Scale to petabytes on demand, Crunch all data structured, semi structured, unstructured and Develop in Java, .NET, and more. Provides Apache Hadoop, Spark, and R clusters in the cloud

Microsoft HDInisght

Microsoft HDInisght

3.Google Cloud Platform

Google offers Apache Spark and Apache Hadoop clusters easily on Google Cloud Platform.
Google Cloud Platform

4.Qubole

Qubole Data Service (QDS) offers Hadoop as a Service and is a cloud computing solution that makes medium and large-scale data processing accessible, easy, fast and inexpensive.

Qubole

Qubole

5.IBM BigInsights

IBM BigInsights on Cloud provides Hadoop-as-a-service on IBM’s SoftLayer global cloud infrastructure. It offers the performance and security of an on-premises deployment.

IBM BigInsights

6.Teradata Cloud for Hadoop

Teradata Cloud for Hadoop includes Teradata developed software components that make Hadoop ready for the enterprise: high availability, performance, scalability, monitoring, manageability, data transformation, data security, and a full range of tools and utilities.

Teradata Cloud for Hadoop

7.Altiscale Data Cloud

Altiscale Data Cloud is a fully managed Big Data platform, delivering instant access to production ready Apache Hadoop and Apache Spark on the world’s best Big Data infrastructure.

Altiscale Data Cloud

8.Rackspace Hadoop

Rackspace Apache Hadoop distribution includes common tools like MapReduce, HDFS, Pig, Hive, YARN, and Tez. Rackspace provide root access to the application itself, allowing users to interact directly with the core platform.

Rackspace Hadoop

 

What's your reaction?
Love It
0%
Very Good
100%
INTERESTED
0%
COOL
0%
NOT BAD
0%
WHAT !
0%
HATE IT
0%