Combines open source Hadoop and Spark to cost-effectively analyze and manage big data
Combines Hadoop and Spark
Integrates Hadoop and Spark for fast processing of any type of data at scale.
Provides data management and analytical tools to enhance Hadoop capabilities. Helps improve your ROI, whether in the cloud or on-premises.
Scalable and adaptible
Helps integrate Hadoop as part of a hybrid architecture that supports multiple data types and technologies. Provides the scalability and adaptability you need for big data analytics.
Open source support
Built on IBM Open Platform, which provides complete open source distribution of Apache ecosystem components.
Enhances your ecosystem
Provides deployment options and an extended portfolio of capabilities to help you make the most of Hadoop.
IBM® BigInsights® is an enterprise platform that combines Hadoop and Spark for fast analysis and processing of data. The solution includes Spark, SQL, text analytics and more to help you easily integrate and analyze big data. With IBM, spend less time creating an enterprise-ready Hadoop infrastructure, and more time gaining valuable insights.
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers.
I liked as for many reasons but two most important are
1. it is very easy to install and play the image through the VMWare player.
2. The software framework has all the installed environment such as HBase, HIVE and it is very easy to upgrade too. Review collected by and hosted on G2.com.
What do you dislike?
Actually, individual upgrade or if someone wants to install and configure the in-built environment is a bit hard. I remember trying to install HBase v 1.1. and remove the previous version that was already part of the software. It took time to debug. Upgradation of the individual frameworks can be made easy.
2. The VM image requires a lot of hard disks, minimum allocation of 30 GB, which is kind of difficult if the image is run on an internal hard drive. But this problem is solved while using an external hard drive. Review collected by and hosted on G2.com.
Recommendations to others considering the product:
Those who are beginners in High-performance computing frameworks. It gives a kickstart to play around the files and understand the application of the concepts better.
On the other hand, one does not have to think much about installing Linux environment to run the basic Hadoop code. It is co-integration of a lot of packages where one can learn HBase, HIVE, PIG, and Hadoop without thinking of installing one-by-one on Linux OS. Review collected by and hosted on G2.com.
What problems are you solving with the product? What benefits have you realized?
I used this for my research project in the undergrad, at the office I used this to conduct Proof of Concepts(PoCs) such as HBase write operation, build environment and many non-functional testing. It is very easy to code as Eclipse IDE is well-integrated in the framework. Review collected by and hosted on G2.com.