Why MapR Is Attempting To Move Out Of Hadoop's Cocoon?
With the recent announcement of prominent Hadoop vendors Hortonworks and Cloudera, concerns associated with the Hadoop’s future resurged in the tech world. Even though both firms spent several years competing neck-to-neck to draw businesses of all kinds towards their flagship product, however now, they joined together against common enemies. These concerns gain significant importance in the present time as more of the workloads are migrating onto cloud-based platforms such as Google, Amazon, and Microsoft CRM Solutions
, which offers most set of advanced services that some of the open-source data service providers already offer. In the last few years, Hadoop raised to glory as one of the open-source data platforms that facilitates the collection, storage, and analysis of valuable data from various sources.
Over the years, Hadoop has emerged as one of the most important technologies for Big Data along with advanced features such as machine learning and in-memory processing. However, as most of the works are moving towards the cloud-based platforms, cloud-computing service providers such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure began to offer an assorted array of managed services, including AWS’s Elastic Map Reduce (EMR)
. These leading-edge services offer easier management and economical storage costs while the infrastructure management will be handled by the service providers.
The most talked Cloudera-Hortonworks alliance was accoladed by many of the industry experts associated with the community of open-source, whereas, others view it as an important sign indicating the constant decline for Hadoop in the tech market. MapR Technologies
- regarded as one of the prominent Hadoop Consulting vendors
a few years ago, has transformed itself into a big data platform provider and developed a Converged Data Platform which assists organizations to consume massive data from a variety of sources, including tables, files, & streams and consolidate that into a single well-structured data pool.
According to Suzy Visvanathan, Senior Director of Product Management at MapR, the company is not entirely abandoning applications associated with Hadoop, however, it is attempting to expand its arms beyond Hadoop by embracing latest features such as Kubernetes and containers for gathering, managing, as well as analyzing the huge amount of data. There are a few significant trends on which the company relies to attain its goals. Among these trends, an extensive range of legacy applications holds the top position that needs to be reconstructed on a cloud platform during the next few years well before the appearance of next-Gen applications in the tech world. Also, these applications can be utilized to leverage the advantage of containers, microservices, and Kubernetes intended.
Suzy Visvanathan said, “They’ll end up just really building it from scratch. They do have the budget to invest. The thinking here is becoming more and more proficient with. It would be easier for them to build new ones. We’ll start seeing less of restructuring and reform.” Further, she added that the MapR is planning to adopt a multi-cloud strategy that involves the simultaneous utilization of numerous public cloud-based platforms. Moreover, whenever several workloads sent towards the cloud-based platforms, some of them will return back to on-premise platforms. For that reason, organizations still require on-site capabilities meant for effective management of enormous amounts of data being generated by these rebounded applications. Most often, the reasons that cause this rebounding revolves around security as well as control.
As per Suzy Visvanathan
, most of the organizations in the IT world think that, once the data stored within the cloud can not be controlled, managed, and configured easily. Several businesses are encountering a significant challenge in order to decide for which workloads cloud-based platform is the right fit and for which workloads on-premise data centers are appropriate. Amid these ubiquitous perceptions, more and more organizations are showing eagerness to adopt cloud-based platforms onto to their business processes.
As data science gained momentum over the past few years, it has become crucial for organizations to employ data scientists to boost expertise associated with in-house management of data. With their vast knowledge in the field, these scientists will assist the organizations to classify workloads for on-premise and cloud migration, as well as to determine suitable tools, including Hadoop, Kubernetes, and containers. Even though the importance of data scientists has been overshadowed to a certain extent by the huge focus on the cloud, however, they could contribute tremendously in the successful adoption could-based platform in the near future.
MapR is ready to offer both cloud-based and on-premise applications in accordance with the customer’s demands. Over the years, the company has been strengthening its capabilities for Kubernetes and containers. Furthermore, it is attempting to separate the elements associated with computing and storing to enable organizations to scale computing ability whenever required without incurring the complexity and costs allied with the scaling up of storage ability as well. Capable of running on any kind of platform whether it could be on-premise data center or public cloud, this cutting-edge technology which will empower customers to leverage the technologies associated with AI and machine learning.
Even though a number of organizations are well-aware of Kubernetes’s significance while embracing containers, however, only a few of them have a clear understanding of how to manage them. MapR intended to assist these organizations to handle Kubernetes with the help of Data Platform. Previously, emphasizing on excellent data locality and low latency, big data used to be deployed on those environments where computing and storage facilities were co-located, however, the demand for “compute independent from storage” is rapidly increasing. To meet this demand, several IT-organizations are attempting to build next-Gen applications and large data lakes to fit hybrid-cloud environments. Also, these organizations are adopting strategies related to a multi-cloud to store applications.
According to Suzy Visvanathan, MapR will be always there for those organizations attempting to build next-Gen applications as well as for those organizations which prefer to be on the cloud. MapR will support them by offering a well-structured development model and providing separate compute and storage platforms. By providing advanced open-source technologies, MapR will assist a variety of businesses to solve issues concerned with big data in an effective way.