Teradata Vantage Reviews

53 Ratings
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Score 7.3 out of 100

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Reviews (1-4 of 4)

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Bharadwaj (Brad) Chivukula | TrustRadius Reviewer
January 16, 2018

A Great Reporting Tool...But, Be Careful if Integrating with Hadoop or its Ecosystem

Score 7 out of 10
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  • Primarily used by BI & Analytics team in a Retail setting for reporting purposes.
  • Good reporting tool but quite expensive and needs expert level learning.
  • 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.
  • Works well if you have the purse to hire Teradata specialists directly from the company and provide solution.
  • Lot of possibilities on reporting, and can accommodate any pattern/type.
  • Works with Hyperion Reporting.
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Hemant Prabhakar Patil | TrustRadius Reviewer
May 31, 2016

Teradata Datawarehouse

Score 9 out of 10
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It is used for most of the IT service departments and it has majorly solved business intelligence problems for the sales and marketing team.
  • 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.
It is well suited for a large data warehouse business intelligence system but it's not suited for big data implementation where you want structured and unstructured data.
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Anonymous | TrustRadius Reviewer
March 29, 2018

Analytics in the Cloud without Reinventing the Wheel

Score 9 out of 10
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I was recently involved in a top 500 company cloud migration to Teradata Enterprise on AWS https://aws.amazon.com/marketplace/pp/B01LW1R13T. There was a need to migrate the local company owned data center to the cloud and that included the existing production Teradata Enterprise Data Warehouse and all its dependencies. This was the largest and the first MMP in the AWS cloud whereas previously the only option for Teradata in the cloud were single node options. The biggest challenge we faced was not related to Teradata but getting the network configuration tuned to satisfy the interfacing of the existing non cloud enterprise with the cloud Teradata Enterprise. This also was critical so that we could migrate nearly 100TB of data to the cloud over a single weekend.
  • 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.
Teradata is the premier analytic platform. If you need to enable real-time access to multiple terabytes/petabytes of your organization's data to help you make real-time decisions in a way that translates into real dollars in sales and strengthened customer relationships then there is no better choice. Teradata is NOT an OLTP appropriate database and it may not be the best place to process all your data but as far as enabling your Analytic enterprise Teradata is always going to provide the best ROI for medium and large enterprises and now with new cloud integration even small enterprises can have the advantages of Teradata that used to be only available to the larger enterprises.
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Anonymous | TrustRadius Reviewer
March 08, 2018

Pricey, but performance comes at a cost

Score 8 out of 10
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Teradata was bought to consolidate and unify our data platform, leverage the performance of the Teradata Appliance to derive faster results
  • 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
Pricey, but performance comes with price
Frequent version upgrades is a pain
Increasing storage space is not always easy as you buy a pre-built storage
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Teradata Vantage Scorecard Summary

About Teradata Vantage

Teradata Vantage is presented by the vendor as a powerful, modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Aiming to lead the way with hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of businesses.

Users can deploy Vantage on public clouds (such as AWS, Azure, and GCP), hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, or on commodity hardware with VMware.

Categories:  Data Warehouse

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