We performed a comparison between Oracle Big Data Appliance and TIBCO Live Datamart based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"This is a comprehensive solution that is easy to deploy."
"The solution has a powerful aggregating feature"
"You can create your own rules that include mathematic calculations."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
"The product should be simplified for the average user."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"The solution's setup could be quicker and easier."
"Improvements need to be made on the load balancing side."
Oracle Big Data Appliance is ranked 14th in Data Warehouse with 5 reviews while TIBCO Live Datamart is ranked 12th in Data Warehouse with 2 reviews. Oracle Big Data Appliance is rated 8.0, while TIBCO Live Datamart is rated 9.0. The top reviewer of Oracle Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". On the other hand, the top reviewer of TIBCO Live Datamart writes "Standout features are real-time dashboards and powerful aggregation". Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Microsoft Azure Synapse Analytics and Teradata, whereas TIBCO Live Datamart is most compared with .
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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.