Apache Hadoop vs. TCS Connected Intelligence Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 7.9 out of 10
N/A
Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A
TCS Connected Intelligence Platform
Score 0.0 out of 10
N/A
TCS Digital Software & Solutions developed the TCS Connected Intelligence Platform (CIP) as a unified data analytics platform that enables business and technical stakeholders to harness multi-domain data from across the organization to gain a competitive advantage faster, and at a lower cost than other available approaches.N/A
Pricing
Apache HadoopTCS Connected Intelligence Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HadoopTCS Connected Intelligence Platform
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache HadoopTCS Connected Intelligence Platform
User Ratings
Apache HadoopTCS Connected Intelligence Platform
Likelihood to Recommend
8.0
(0 ratings)
-
(0 ratings)
Likelihood to Renew
9.6
(0 ratings)
-
(0 ratings)
Usability
8.0
(0 ratings)
-
(0 ratings)
Performance
8.0
(0 ratings)
-
(0 ratings)
Support Rating
7.5
(0 ratings)
-
(0 ratings)
Online Training
6.1
(0 ratings)
-
(0 ratings)
User Testimonials
Apache HadoopTCS Connected Intelligence Platform
Likelihood to Recommend
Apache Hadoop (and its subsequent add-ons) are well-suited to larger, unstructured data flows, such as aggregation of web traffic or advertising. Geospatial algorithms and their outputs are well-suited for this kind of aggregation as structuring that data is challenging, but leaving it unstructured and performing queries as-needed is a better fit for most business models. With the advent of data science, I would expect Hadoop fits a LOT of their initial outputs quite well.
Read full review
No answers on this topic
Pros
  • HDFS is reliable and solid, and in my experience with it, there are very few problems using it
  • Enterprise support from different vendors makes it easier to 'sell' inside an enterprise
  • It provides High Scalability and Redundancy
  • Horizontal scaling and distributed architecture
Read full review
No answers on this topic
Cons
  • Hadoop is a batch oriented processing framework, it lacks real time or stream processing.
  • Hadoop's HDFS file system is not a POSIX compliant file system and does not work well with small files, especially smaller than the default block size.
  • Hadoop cannot be used for running interactive jobs or analytics.
Read full review
No answers on this topic
Likelihood to Renew
Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
Read full review
No answers on this topic
Usability
Great! Hadoop has an easy to use interface that mimics most other data warehouses. You can access your data via SQL and have it display in a terminal before exporting it to your business intelligence platform of choice. Of course, for smaller data sets, you can also export it to Microsoft Excel.
Read full review
No answers on this topic
Support Rating
We went with a third party for support, i.e., consultant. Had we gone with Azure or Cloudera, we would have obtained support directly from the vendor. my rating is more on the third party we selected and doesn't reflect the overall support available for Hadoop. I think we could have done better in our selection process, however, we were trying to use an already approved vendor within our organization. There is plenty of self-help available for Hadoop online.
Read full review
No answers on this topic
Online Training
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
Read full review
No answers on this topic
Alternatives Considered
I feel that this is a highly reliable and scalable solution computing technology that is highly capable of processing large data sets across multiple servers and thousands of machines in a well-defined and distributed manner. Apache Hadoop can automatically scale up the number of servers and machines that are needed to process, store, and analyze data sets. It also handles explosions in data with big data technology. Apache Hadoop is good at handling all node failures as well.
Read full review
No answers on this topic
Return on Investment
  • As it was open source makes it popular choice for handling large chuck of datasets
  • It was free earlier but now it’s licensed but still enterprise is a fine tuned version which makes it easier for new users and administrators to use it
  • Our investment is worth every single penny.
  • Initial cost is more as you might need to hire administrators to setup the cluster and make them in scalable. But once done it’s pretty easy
Read full review
No answers on this topic
ScreenShots