Who Uses This Software?

Data driven organizations.


Average Ratings

1 Review
  • 4 / 5
    Overall
  • 4 / 5
    Ease of Use
  • 4 / 5
    Customer Service

Product Details

  • Free Version
    Yes
  • Free Trial
    Yes
  • Deployment
    Cloud, SaaS, Web
    Installed - Windows
  • Training
    Documentation
    Webinars
    Live Online
    In Person
  • Support
    Online
    Business Hours
    24/7 (Live Rep)

Vendor Details

  • Kyvos Insights
  • www.kyvosinsights.com
  • Founded 2014
  • United States

About BI on Big Data

Kyvos is a disruptive Big Data solution that delivers the fastest BI on the planet at massive scale. Our patent-pending OLAP technology enables Fortune 500 companies to query billions of rows of data within seconds and helps business leaders make informed decisions. We harness the true potential of data lakes in partnership with industry leaders in BI, Cloud, and Hadoop technologies. Kyvos has been shown to be 100x faster than Hive and Impala on standard benchmarks.


BI on Big Data Features

  • Collaboration
  • Data Blends
  • Data Cleansing
  • Data Mining
  • Data Visualization
  • Data Warehousing
  • High Volume Processing
  • No-Code Sandbox
  • Predictive Analytics
  • Templates

BI on Big Data Reviews Recently Reviewed!

HDFS files are write once files. I consider HDFS files as write-once and read-many files

Jun 07, 2017
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 9.0/10 Not
Likely
Extremely
Likely

Pros: I like MapReduce code a lot. Mappers and Reducers and how the overall hierarchy goes by. Hadoop is a platform that I have chosen a year ago and still I am in love with it because of it's simplicity for solving complex problems involving very large database. I also did Apache Giraph which goes into graph processing and was a great experience learning a whole new product of Hadoop. I like solving real life challenges using Hadoop like predicting earthquakes so that the results could be less devastating. This is one of my proposed ideas but there are many more like these which I like a lot.

Cons: HDFS doesn't do random reads very well. A caveat of HDFS to remember, it is a distributed file system abstracted on top of local file system by hadoop, suitable for storing huge files; however, it does not provide facility of tabular form of storage as such.