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 valuable features are powerful tools for ingestion, as data is in multiple systems."
"The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so."
"The tool's stability is good."
"Initially, with RDBMS alone, we had a lot of work and few servers running on-premise and on cloud for the PoC and incubation. With the use of Hadoop and ecosystem components and tools, and managing it in Amazon EC2, we have created a Big Data "lab" which helps us to centralize all our work and solutions into a single repository. This has cut down the time in terms of maintenance, development and, especially, data processing challenges."
"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."
"Hadoop File System is compatible with almost all the query engines."
"The scalability of Apache Hadoop is very good."
"The solution has a powerful aggregating feature"
"You can create your own rules that include mathematic calculations."
"It needs better user interface (UI) functionalities."
"Hadoop's security could be better."
"It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake."
"The load optimization capabilities of the product are an area of concern where improvements are required."
"I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness."
"General installation/dependency issues were there, but were not a major, complex issue. While migrating data from MySQL to Hive, things are a little challenging, but we were able to get through that with support from forums and a little trial and error."
"The price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop."
"It could be more user-friendly."
"The solution's setup could be quicker and easier."
"Improvements need to be made on the load balancing side."
Apache Hadoop is ranked 5th in Data Warehouse with 32 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 Azure Data Factory, Microsoft Azure Synapse Analytics, 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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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.
