Apache Hadoop vs TIBCO Live Datamart comparison

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Executive Summary

We performed a comparison between Apache Hadoop and TIBCO Live Datamart based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Apache Hadoop vs. TIBCO Live Datamart Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Syed Afroz Pasha
Mohsin Pathan
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It's good for storing historical data and handling analytics on a huge amount of data.""The most important feature is its ability to handle large volumes. Some of our customers have really large volumes, and it is capable of handling their data in terms of the core volume and daily incremental volume. So, its processing power and speed are most valuable.""It's open-source, so it's very cost-effective.""High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization.""The most valuable feature is the database.""The most valuable features are powerful tools for ingestion, as data is in multiple systems.""What comes with the standard setup is what we mostly use, but Ambari is the most important.""What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies."

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"The solution has a powerful aggregating feature""You can create your own rules that include mathematic calculations."

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Cons
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment.""Hadoop's security could be better.""What could be improved in Apache Hadoop is its user-friendliness. It's not that user-friendly, but maybe it's because I'm new to it. Sometimes it feels so tough to use, but it could be because of two aspects: one is my incompetency, for example, I don't know about all the features of Apache Hadoop, or maybe it's because of the limitations of the platform. For example, my team is maintaining the business glossary in Apache Atlas, but if you want to change any settings at the GUI level, an advanced level of coding or programming needs to be done in the back end, so it's not user-friendly.""The upgrade path should be improved because it is not as easy as it should be.""The stability of the solution needs improvement.""It requires a great deal of learning curve to understand. The overall Hadoop ecosystem has a large number of sub-products. There is ZooKeeper, and there are a whole lot of other things that are connected. In many cases, their functionalities are overlapping, and for a newcomer or our clients, it is very difficult to decide which of them to buy and which of them they don't really need. They require a consulting organization for it, which is good for organizations such as ours because that's what we do, but it is not easy for the end customers to gain so much knowledge and optimally use it.""The key shortcoming is its inability to handle queries when there is insufficient memory. This limitation can be bypassed by processing the data in chunks.""It would be good to have more advanced analytics tools."

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"Improvements need to be made on the load balancing side.""The solution's setup could be quicker and easier."

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Pricing and Cost Advice
  • "Do take into consider that data storage and compute capacity scale differently and hence purchasing a "boxed" / 'all-in-one" solution (software and hardware) might not be the best idea."
  • "​There are no licensing costs involved, hence money is saved on the software infrastructure​."
  • "This is a low cost and powerful solution."
  • "The price of Apache Hadoop could be less expensive."
  • "If my company can use the cloud version of Apache Hadoop, particularly the cloud storage feature, it would be easier and would cost less because an on-premises deployment has a higher cost during storage, for example, though I don't know exactly how much Apache Hadoop costs."
  • "We don't directly pay for it. Our clients pay for it, and they usually don't complain about the price. So, it is probably acceptable."
  • "The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
  • "We just use the free version."
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  • "The solution might be considered a bit expensive because it competes with open-source products."
  • More TIBCO Live Datamart Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Hadoop File System is compatible with almost all the query engines.
    Top Answer:The tool provides functionalities to deal with data skewness or a diverse set of data. There are some configurations that it usually provides. In certain cases, the configurations for dealing with… more »
    Top Answer:You can create your own rules that include mathematic calculations.
    Top Answer:The solution might be considered a bit expensive because it competes with open-source products. In comparison to Azure Libraries, the solution provides a free library and a basic infrastructure for… more »
    Top Answer:The solution's setup could be quicker and easier. IT experts are required from the server side. Advanced users can implement quickly but there always a need for some drag-and-drop flow improvements… more »
    Ranking
    5th
    out of 33 in Data Warehouse
    Views
    2,765
    Comparisons
    2,378
    Reviews
    10
    Average Words per Review
    539
    Rating
    8.0
    13th
    out of 33 in Data Warehouse
    Views
    64
    Comparisons
    45
    Reviews
    2
    Average Words per Review
    517
    Rating
    9.0
    Comparisons
    Also Known As
    Streambase, TIBCO LiveView Data Mart
    Learn More
    Overview
    The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

    TIBCO Live Datamart is the industry’s first ultra fast continuous query processing engine made for live operational intelligence. It supports real-time data from anywhere, consumes live streaming data, and can connect to historical data in monolithic and edge systems by using either included data adapters or by leveraging the TIBCO integration platform. With its real-time computations against high-speed streaming data and continuous pushing of results to live queries, TIBCO Live Datamart offers users faster time to actionable insight and automated action. 

    Sample Customers
    Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
    Aerospace Corporation, Balfour Beatty Infrastructure Services, Banco Sabadell, Bolton Borough Council
    Top Industries
    REVIEWERS
    Financial Services Firm40%
    Comms Service Provider27%
    Hospitality Company7%
    Consumer Goods Company7%
    VISITORS READING REVIEWS
    Financial Services Firm27%
    Computer Software Company10%
    Comms Service Provider6%
    University6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business35%
    Midsize Enterprise24%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise75%
    No Data Available
    Buyer's Guide
    Apache Hadoop vs. TIBCO Live Datamart
    March 2024
    Find out what your peers are saying about Apache Hadoop vs. TIBCO Live Datamart and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 31 reviews while TIBCO Live Datamart is ranked 13th in Data Warehouse with 2 reviews. Apache Hadoop is rated 7.8, while TIBCO Live Datamart is rated 9.0. The top reviewer of Apache Hadoop writes "A file system for data collection that contains needed information and files". On the other hand, the top reviewer of TIBCO Live Datamart writes "Standout features are real-time dashboards and powerful aggregation". Apache Hadoop is most compared with Microsoft Azure Synapse Analytics, Azure Data Factory, Oracle Exadata, Snowflake and Teradata, whereas TIBCO Live Datamart is most compared with . See our Apache Hadoop vs. TIBCO Live Datamart report.

    See our list of best Data Warehouse vendors.

    We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.