We performed a comparison between Amazon EMR and Teradata based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The initial setup is pretty straightforward."
"The solution is pretty simple to set up."
"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"The solution is scalable."
"The solution helps us manage huge volumes of data."
"Cuts time to process huge amounts of data with efficient analytical queries."
"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."
"The feature that we find most valuable is its ability to perform Massive Parallel Processing."
"It is a stable program."
"Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."
"The most valuable features are the Shared-nothing architecture and data protection functionality."
"It is a solid database a lot of different tools to move data."
"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."
"Modules and strategies should be better handled and notified early in advance."
"The problem for us is it starts very slow."
"We don't have much control. If we have multiple users, if they want to scale up, the cost will go and increase and we don't know how we can restrict that price part."
"As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more flexibility in managing user data."
"The legacy versions of the solution are not supported in the new versions."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"The product must add some of the latest technologies to provide more flexibility to the users."
"Teradata hardly supports unstructured data or semi-structured data"
"The SQL Assistant is very basic. This tool can be improved for usability."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"It could use some more advanced analytics relating to structured and semi-structured data."
"I would like to see an improved Knowledge Base on the web."
"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."
"Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect."
"Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required)."
Amazon EMR is ranked 9th in Cloud Data Warehouse with 20 reviews while Teradata is ranked 3rd in Data Warehouse with 54 reviews. Amazon EMR is rated 7.8, while Teradata is rated 8.2. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, the top reviewer of Teradata writes "Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and Apache Spark, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and BigQuery. See our Amazon EMR vs. Teradata report.
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