We performed a comparison between Apache Hadoop and Teradata Cloud Data Warehouse 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 ability to add multiple nodes without any restriction is the solution's most valuable aspect."
"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."
"Most valuable features are HDFS and Kafka: Ingestion of huge volumes and variety of unstructured/semi-structured data is feasible, and it helps us to quickly onboard a new Big Data analytics prospect."
"The most valuable feature is the database."
"The best thing about this solution is that it is very powerful and very cheap."
"The most valuable feature is scalability and the possibility to work with major information and open source capability."
"The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."
"The product is reliable."
"The most valuable feature is the ease of running queries."
"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution."
"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."
"I think more of the solution needs to be focused around the panel processing and retrieval of data."
"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."
"From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective."
"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 integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"It could be a bit more user-friendly."
"The cost of Teradata Cloud Data Warehouse has room for improvement."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
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Apache Hadoop is ranked 5th in Data Warehouse with 33 reviews while Teradata Cloud Data Warehouse is ranked 13th in Cloud Data Warehouse with 3 reviews. Apache Hadoop is rated 7.8, while Teradata Cloud Data Warehouse is rated 8.0. The top reviewer of Apache Hadoop writes "Handles huge data volumes and create your own workflows and tables but you need to have deeper knowledge". On the other hand, the top reviewer of Teradata Cloud Data Warehouse writes "Is quick, easy to upgrade, and cost-effective". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Teradata, whereas Teradata Cloud Data Warehouse is most compared with Snowflake, Amazon Redshift, Teradata, Oracle Exadata and Microsoft Azure Synapse Analytics. See our Apache Hadoop vs. Teradata Cloud Data Warehouse report.
See our list of best Data Warehouse vendors and best Cloud 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.
