Teradata Enterprise Data Warehousing Reviews

53 Ratings
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Score 8.2 out of 100

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Anonymous | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • The Teradata Enterprise provides the best workload management bar none. There is virtually no analytic task that it can not handle. It is designed to handle mixed workloads and it shows. Tactical query related reports and applications can easily be given high priority while more processing intensive queries can be throttled and prioritized internally like a finely tuned data super highway so to prevent data traffic jams and allow the entire enterprise to be served efficiently.
  • Designed to be easily maintained. Teradata requires very little maintenance compared to other enterprise DBs. Also, the integrated Viewpoint server provides a central view of the enterprise data-warehouse and supports servers. It also has convenient direct integration with DSA backups and supports analytic data labs that can be used to empower users.
  • Teradata supports all the latest analytic open source languages and has advanced APIs that can be easily be leveraged within custom scripts and applications. The feature set integrated out of the box in Teradata is something few competitors can match. It also supports Map Reduce and other analytic functions natively in the database.
  • The new Teradata Enterprise in the Cloud on AWS makes changing node configurations to handle increased workloads a matter of hours rather than weeks type process and rather than dealing with trying to reinvent the wheel with a new infant "open source" or "new" cloud database that is missing core features that mature databases like Teradata have supported for years as a customer you get the maturity as well the cutting edge cloud capabilities in a no-compromise solution.
  • Teradata Intellicloud support provides pain-free management of the cloud environment. It handles the backups and manages EC2 instances to keep everything running smoothly.
  • The Teradata Querygrid product provides a level of interoperability between itself and competitor and open sources data sources without having to design complex ETL.
  • Teradata can improve by supporting more native AWS cloud features. Currently if a node goes down the EC2 instance must be restarted. It isn't something that happens frequently but more tight integration with cloud providers like AWS and Azure will allow Teradata to offer truly dynamic scaling.
  • Some Teradata features are oversold before they are ready for prime-time. Teradata is not unique in this but if something is sold as an integrated product stack it should really be integrated not something that requires an extensive development cycle to be integrated at a customer's expense. If something is supported it should've really be tested and QAed thoroughly before a customer touches it.
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Anonymous | TrustRadius Reviewer
Score 8 out of 10
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Pros and Cons

  • Very capable enterprise data warehouse platform leveraging the MPP architecture. One of the leaders in the market in MPP space today
  • High performance data ingestion and query engine
  • Utilities like QueryGrid allows for data federation, BTEC and FastLoad etc allow for high performance data ingestion and processing
  • Ideally being used for ELT type data integration, with push down optimisation where complex logic is processed using the power of Teradata appliance than the ETL server
  • MPP architecture is becoming legacy architecture with the advent of Hadoop, MongoDB etc.
  • Though QueryGrid and Teradata on Hadoop are available, they are add-ons to an already pricey Teradata appliance
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Bharadwaj (Brad) Chivukula | TrustRadius Reviewer
Score 7 out of 10
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Pros and Cons

  • Good Support
  • Scalable & can work on large dataset with good performance.
  • Uses TeraData DB Arch.
  • Expensive (why go with it when you have similar setup thru big data technologies like Hadoop?)
  • No concept of Unstructured Data; everything is inline to what Oracle provides.
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Hemant Prabhakar Patil | TrustRadius Reviewer
Score 9 out of 10
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Pros and Cons

  • Teradata DB architecture.
  • Fast query performance compared to other databases because of its unique architecture.
  • Parallel execution of queries in DB internally.
  • Supports a 3NF datamodel structure very nicely for business intelligence reporting.
  • Great reporting on hyperion interactive reporting tool, BI Publisher, and OBIEE.
  • Cursors, procedures similar to Oracle DB.
  • Hadoop is more preferred over teradata for big data implementation because of cost, scalability, storage etc.
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About Teradata Enterprise Data Warehousing

Categories:  Data Warehouse

Teradata Enterprise Data Warehousing Integrations