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2022-04-26T09:35:00Z

Top 5 Data Warehouse Tools 2022

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Published:Apr 26, 2022
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Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: October 2024.
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Related Questions
Julia Miller - PeerSpot reviewer
Jun 3, 2024
Jun 3, 2024
The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000.
2 out of 4 answers
Hamid M. Hamid - PeerSpot reviewer
Jan 9, 2024
Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive.
SurjitChoudhury - PeerSpot reviewer
Feb 20, 2024
Teradata is an expensive tool. Teradata, along with Informatica, is expensive. Teradata is still widely used in the Middle East, especially in banks across Dubai and Saudi Arabia, indicating its continued relevance. Compared to open-source solutions and other market offerings, Teradata remains on the higher end of the pricing spectrum. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions.
Julia Miller - PeerSpot reviewer
Sep 11, 2024
Sep 11, 2024
Teradata has a few AI models, but in data science, we need more flexibility. We can’t be limited to what's pre-built in the database. Typically, data science projects require experimenting with different models, so the limitation is that Teradata only has basic machine learning models in its database. Data science requires more advanced modeling, and you always want to search for the best possi...
2 out of 7 answers
MohamedSaied - PeerSpot reviewer
Dec 8, 2023
The primary challenge with Teradata lies in its cost structure, encompassing subscription fees, software licenses, and hardware expenses. The management of these pricing components can be notably high. I believe there's room for improvement and investment in Teradata's ETL engine, making it more competitive with tools like IBM DataStage. Considering the growing importance of big data ecosystems, it could benefit from enhanced compatibility with platforms like Cloudera and tools like Apache Spark. It's essential to bridge the gaps and make Teradata's tools more accessible and user-friendly in the evolving landscape of data virtualization and analytics.
Hamid M. Hamid - PeerSpot reviewer
Jan 9, 2024
The solution’s pricing, scalability, and technical support response time could be improved.
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