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."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."
"The solution has a powerful aggregating feature"
"You can create your own rules that include mathematic calculations."
"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."
"Improvements need to be made on the load balancing side."
"The solution's setup could be quicker and easier."
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.
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