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IBM InfoSphere BigInsights - license

Mfg. Part: D0JIFLL-BL | CDW Part: 2971922 | UNSPSC: 43232307
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  • License + 1 Year Software Subscription and Support
  • 1 PVU
  • Passport Advantage Express
  • Linux
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Product Overview
Main Features
  • License + 1 Year Software Subscription and Support
  • 1 PVU
  • Passport Advantage Express
  • Linux
IBM InfoSphere BigInsights is an analytics platform built on top of Apache Hadoop open framework for storing, managing and gaining insights from Internet-scale data. InfoSphere BigInsights provide capabilities for both IT and line of business to quickly get up and running.

IBM can help customers design, install, configure, deploy, manage, monitor and evolve fault tolerant and flexible Hadoop-based infrastructures for efficiently running analytics against these massive volumes of distributed data and content, so that valuable insights can be gleaned.

InfoSphere BigInsights combines IBM's unique knowledge of gain value from SQL based big data approaches with Apache Hadoop based workloads. The platform leverages significant contributions from IBM Research and Emerging technologies groups to deliver a robust big data platform.

Technical Specifications
Specifications are provided by the manufacturer. Refer to the manufacturer for an explanation of the print speed and other ratings.
System Requirements
Platform: Linux

Software
Bundled Support: 1 Year Software Subscription and Support
License Category: License
License Qty: 1 processor value unit (PVU)
License Type: License
Licensing Program: Passport Advantage Express

Service
Support Details Full Contract Period: 1 year

Header
Brand: IBM
Compatibility: Unix
Manufacturer: IBM
Model: BigInsights
Packaged Quantity: 1
Product Line: IBM InfoSphere

Service & Support Details
Service Type: New releases update



Response Time: 2 hours
Service Availability (Hours a Day): Business hours
Service Type: Phone consulting



Service Availability (Days a Week): Monday-Sunday
Service Availability (Hours a Day): 24 hours a day
Service Type: Emergency phone consulting



Service Type: Web knowledge base access



Service Type: E-mail consulting

General
Category: Business applications
Subcategory: Business - data analysis & business intelligence

Licensing
License Pricing: Volume

Service & Support
Type: New releases update

Product Reviews
Rated 4 out of 5 by 3reviewers.
Rated 4 out of 5 by The BIQSQL implementation is fully SQL ANSI compliant, but I have found a lot of issues in Fluid Query. Valuable Features:The things that I have found of value are those that make database management easier to deal with. I have been using Netezza and Oracle DBA for several years so the big data is a bit of a mind shift for me. The thing that I have found most valuable in this solution is the BIQSQL implementation which is fully SQL ANSI compliant. No retraining is required on the SQL front.Improvements to My Organization:The customer that I am working with has had a portion of the database that they will be shifting from Netezza to BigInsights. This will remove all of the queries and overhead on Netezza around those tables. This will be a big improvement and will allow the organization to deal with backup/recovery better as it decreases the size of the Netezza database.Room for Improvement:I have found a lot of issues in Fluid Query and BigInsights Applications to move data in the enterprise version. I have several tickets on these with IBM as they need to be addressed to have a solid implementation. Fortunately none of these are stopping the implementation of BigInsights.Ambari integration with GPFS monitoring is non-existant. We had network issues which caused GPFS to require recovery. We had no notice from Ambari.MTR for GPFS took several days with only 30% of space in use. In order for this to be more production ready IBM needs to make this better. Way too long.Use of Solution:I have been using BigInsights for six months now. I have had training on it using the VM about three months ago. This implementation uses GPFS instead of HPFS. This is IBM’s answer to a more stable and fault tolerant file system.Deployment Issues:No issues encountered.Stability Issues:No issues encountered.Scalability Issues:NoneTechnical Support:Ticket resolution has been very slow and support is confused on how to resolve some interface issues.Previous Solutions:We had some tables previously in Netezza. We are moving some out to decrease the overhead and overall space consumption.Implementation Team:The implementation was done and coordinated by Sirius/Brightlight Consulting.Cost and Licensing Advice:If you are getting BigInsights definitely get BIGSQL option as it is worth it.Disclaimer: I am a real user, and this review is based on my own experience and opinions. July 17, 2016
Rated 4 out of 5 by ?The enterprise-ready technologies and capabilities for text analytic and big data analytic features are valuable. Valuable Features:The enterprise-ready technologies and capabilities for text analytic and big data analytic. The easy way to deploy big data solutions into production is a very desirable feature of this product.Improvements to My Organization:I led a project in which my company deployed a big data solution in less than four month with a Hadoop cluster of more than 100 datanodes and 3 namenodes to perform big data analytic from datasets extracted of several data sources such as social networks, RFID sensors and other type of sensors.Room for Improvement:I have discovered most of the features I need in the version 4.0 of this product, but there is always room for improvements, such as getting better performance on Windows based platform and including compatibility with the new frameworks and technologies related to Hadoop ecosystem.Use of Solution:I have been using it since September 2014.Stability Issues:I encountered issues with having the appropriate documentation resources, as well as getting the right stability when explored virtualized environments based on Virtualbox and HyperV software.Customer Service:The customer service is very reliable and efficient, I would rate it as 8/10.Technical Support:Technical support is very reliable and efficient, I would rate it as 8/10.Previous Solutions:I previously tried the official Apache Hadoop project and the Apache Spark engine, but based on my personal experience I decided to choose an enterprise-ready platform to deploy my production environment, so I could get access to better technical documentation and a more qualified customer service.Initial Setup:It was complex from a technical point of view, since I didn't have the experience nor the expertise to work in this type of project.Implementation Team:I chose the in-house implementation, mostly because I had a budget limitation in my company. I did get very valuable advice from IBM customer service and the active Hadoop community which facilitated open-source tools and tips for similar implementations.ROI:I got almost a 40% ROI which is wonderful. I recommend to think about an enterprise licensing approach depending on how big the project is and its complexity. For small implementations I rather would use 100% open-source tools to reduce the pricing of the desirable solution.Other Advice:This is a very helpful product, with continuous improvements by IBM and a great customer service which enables easy access to valuable information for both Hadoop developers and system administrators.Please examine all the tools available on the market, especially the Apache Hadoop project and the Apache Spark engine. The IBM InfoSphere BigInsights product has a educational version, which is great to understand how it works and the flexibility, scalability and maintainability of this product. I have implemented my initial setup in this community version of the BigInsights product, and it worked great for me.Disclaimer: I am a real user, and this review is based on my own experience and opinions. January 5, 2016
Rated 4 out of 5 by It gives us the option of extending our analytics system. Now, a customer can move part of their data from Netezza into a Hadoop cluster. Valuable Features:BigSQL – implementation of DB2 Database Partitioning Feature on HDFS cluster – in conjunction with IBM Fluid Query for Netezza.Improvements to My Organization:It gives us the option of extending our analytics system. Now, a customer can move part of their data from Netezza into a Hadoop cluster. What's more, they can run algorithms directly on HDFS using R.Room for Improvement:Installation process should be improved for IBM ValueAdd components, especially scripts for R/BigR installation. They could add Hue and Ranger to the set of services.Use of Solution:I've used it for three months.Deployment Issues:Deployment of BigR is problematic as the services have to be installed on whole clusters. Some elements are not clearly described in documentation, and they are split into a few topics in InfoCenter.Technical Support:Great. We have direct support from IBM Poland pre-sales and lab teams.Previous Solutions:I have implemented integration processes on HortonWorks and Cloudera. The product was chosen by our customer due to Fluid Query implementation.Initial Setup:Initial setup is rather complex in comparison with Cloudera.Implementation Team:I have implemented the cluster for our customer with IBM support.Cost and Licensing Advice:IBM provides a PVU model for licensing. What is more, a five-node cluster is added for various products such as IBM Information Server.Disclaimer: My company has a business relationship with this vendor other than being a customer:We're a business partner. December 20, 2015
  • 2016-10-30 T09:14:44.004-05:00
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  • cp-1, bvpage1
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  • loc_en_US, sid_2971922, prod, sort_default
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