Netezza vs. Teradata

As of February 2019, Netezza is ranked 4th in Data Warehouse with 10 reviews vs Teradata which is ranked 2nd in Data Warehouse with 19 reviews. The top reviewer of Netezza writes "The underlying hardware is made for performance on large amounts of data, and for analytics". The top reviewer of Teradata writes "It is the core of our fundamental real-time reporting and operational planning. ". Netezza is most compared with Oracle Exadata, SQL Server and Apache Hadoop. Teradata is most compared with Oracle Exadata, SQL Server and Pivotal Greenplum. See our Netezza vs. Teradata report.
Cancel
You must select at least 2 products to compare!
Netezza Logo
12,055 views|5,248 comparisons
Teradata Logo
19,885 views|11,829 comparisons
Most Helpful Review
Anonymous User
Find out what your peers are saying about Netezza vs. Teradata and other solutions. Updated: January 2019.
316,375 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The performance is most important to me, and it helps our ability to make business decisions quickly.We are able to execute very complex queries. Over 90 percent of our query executions are one second or less. We do millions of queries everyday.The underlying hardware that IBM provides with this appliance is made for a specific purpose, to serve performance on a large amount of data, and to do analytics as well. It is faster, when you compare it to any other product.The most valuable feature would be the fact that it has been running for awhile in an appliance format.The benefit is really because of the additional speed that we have and, truth be told, the more updated ETL processes and the revamped scheduler in general.The data governance prospect... from what I've seen, that is a really powerful tool as well, to help with data lineage and keeping track of that.Distribution concurrency control.

Read more »

It handles large amounts of information with a linear performance increase, in relation to a HW investment.It has a solid set of tools and consulting services.It has massive parallel processing ability to do large amounts of concurrent querying.It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs.Cuts time to process huge amounts of data with efficient analytical queries.A conventional and easily defined way to build a data warehouse or a layer of data marts.Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL toolsAuto-partitioning and indexing, and resource allocation on the fly are key features.

Read more »

Cons
The scalability is not as expected. The capacity in the black box is not enough.Our main problem with it is concurrency. When there are too many users running Netezza at the same time, this is when we have the most complaints.We are not able to scale. The only way to scale is to get another appliance, but we have a customers who would need us to hydrate the data between the two appliances, and Netezza does not do that.The only issue is that it's not expandable.In terms of features that I would like to see, one is the ability to actually scale out an architecture. Right now, if you buy one, it's fixed. There is no scale-up availability at all.Concurrency limit needs to be increased somewhat.LIke Teradata, we can’t add a node/SPU to the existing appliance.

Read more »

It needs a teaching web site with more training on third-party tools used for BI.We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata.There is a need to improve performance in high transaction processes, as well as the reporting system.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).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.Needs compatibility with more Big Data platforms.It would help to make scaling easier with a reduced cost. ​​I think the UI is not there yet. It could be improved by being more user-friendly.​

Read more »

Pricing and Cost Advice
The pricing is very expensive. It has a lot CPUs with a lot of components in it. It also has built-in redundancy for resiliency reasons.Netezza is a costly solution. It does serve a specific purpose but it's costlier than what's available in the market, if you go to the cloud.

Read more »

We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise.Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world.Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud.It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors.Teradata is currently making improvements in this area.The initial cost may seem high, but the TCO is low.In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does.Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms.

Read more »

report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
316,375 professionals have used our research since 2012.
Ranking
4th
out of 29 in Data Warehouse
Views
12,055
Comparisons
5,248
Reviews
10
Followers
410
Avg. Rating
7.7
2nd
out of 29 in Data Warehouse
Views
19,885
Comparisons
11,829
Reviews
19
Followers
838
Avg. Rating
8.5
Top Comparisons
Compared 29% of the time.
Compared 11% of the time.
Compared 6% of the time.
Compared 24% of the time.
Compared 20% of the time.
Compared 7% of the time.
Learn
IBM
Teradata
Overview
IBM Netezza appliances are now part of IBM PureSystems - expert integrated systems with built in expertise, integration by design and a simplified user experience. Part of the PureData family, the Netezza appliance is now known as the PureData System for Analytics. It has the same key design tenets of simplicity, speed, scalability and analytics power that was fundamental to Netezza appliances.

Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.

Offer
Learn more about Netezza
Learn more about Teradata
Sample Customers
Seattle Childrens Hospital, Carphone Warehouse, Vanderbilt University School of Medicine, Battelle, Start Today Co. Ltd., Kelley Blue Book, Trident Marketing, Elisa Corporation, Catalina Marketing, iBasis, Barnes & Noble, Qualcomm, MediaMath, Acxiom, iBasis, FoxwoodsNetflix
Top Industries
REVIEWERS
Financial Services Firm47%
Comms Service Provider13%
Retailer13%
Insurance Company7%
VISITORS READING REVIEWS
Financial Services Firm44%
Comms Service Provider17%
Retailer13%
Health, Wellness And Fitness Company9%
VISITORS READING REVIEWS
Financial Services Firm30%
Comms Service Provider22%
Software R&D Company13%
Government8%
Company Size
REVIEWERS
Small Business13%
Midsize Enterprise10%
Large Enterprise77%
REVIEWERS
Small Business18%
Midsize Enterprise5%
Large Enterprise77%
VISITORS READING REVIEWS
Small Business38%
Midsize Enterprise17%
Large Enterprise46%
Find out what your peers are saying about Netezza vs. Teradata and other solutions. Updated: January 2019.
316,375 professionals have used our research since 2012.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.

Sign Up with Email