We performed a comparison between Snowflake Analytics 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."It's a scalable solution because you can analyze a huge amount of data in the solution."
"I am impressed with the product's data-sharing feature."
"It is quite a convenient tool."
"Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options."
"It ensures the optimization of the application development while maintaining the user-friendly nature of its UI."
"Its performance speed is very good."
"The platform not only provides ease of use but also stands out for its speedy execution, conveying a sense of robustness and reliability that I find appealing."
"Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."
"It has massive parallel processing ability to do large amounts of concurrent querying."
"When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration."
"Teradata's pretty fast."
"The ability to handle machine data parallel processing is the most valuable feature of Teradata."
"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."
"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."
"It has a solid set of tools and consulting services."
"Improved performance of ETL procedures, reporting."
"Machine learning in Snowflake isn't as advanced as in other products. I haven't heard of any successful industry-wide use cases of machine learning implemented in Snowflake. It might take a couple of years to reach the same level as Databricks."
"The UI must be improved."
"The distribution methodology isn't as strong as Bethesda or SAP HANA. It's not as strong as other competitors."
"I cannot comment on the product's stability because we are still struggling with its performance."
"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."
"The tool should support EIM use cases. I guess the product is already working on it. I look forward to seeing inbuilt AI generative tools in the solution's future releases. The tool's price can be a little lower. The solution's on-premises support is also very limited. We have to rely on other support services to deploy it on-premises."
"Machine learning should be improved."
"Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake."
"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."
"The cloud is the new challenge and the new opportunity."
"The current operational approach needs improvement."
"The user interface needs to be improved."
"The scalability could be better. The on-premises solution is always more complicated to scale."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
"I think the UI is not there yet. It could be improved by being more user-friendly."
"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."
Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 30 reviews while Teradata is ranked 3rd in Data Warehouse with 54 reviews. Snowflake Analytics is rated 8.4, while Teradata is rated 8.2. The top reviewer of Snowflake Analytics writes "A scalable tool useful for data lake and data mining processes". 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". Snowflake Analytics is most compared with Azure Data Factory, Adobe Analytics, Mixpanel, Amplitude and Glassbox, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and BigQuery. See our Snowflake Analytics vs. Teradata report.
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