Compare Pivotal Greenplum vs. Teradata

Pivotal Greenplum is ranked 6th in Data Warehouse with 5 reviews while Teradata is ranked 2nd in Data Warehouse with 12 reviews. Pivotal Greenplum is rated 7.8, while Teradata is rated 8.2. The top reviewer of Pivotal Greenplum writes "Handles complex queries and report production efficiently, integrates with Hadoop". On the other hand, the top reviewer of Teradata writes "Cuts time to process huge amounts of data with efficient analytical queries". Pivotal Greenplum is most compared with Apache Hadoop, Amazon Redshift and Teradata, whereas Teradata is most compared with SQL Server, Oracle Exadata and Amazon Redshift. See our Pivotal Greenplum vs. Teradata report.
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Pivotal Greenplum Logo
11,662 views|8,217 comparisons
Teradata Logo
19,349 views|15,071 comparisons
Most Helpful Review
Find out what your peers are saying about Pivotal Greenplum vs. Teradata and other solutions. Updated: September 2019.
371,355 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 most valuable feature for us is horizontal scaling.Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible.We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database.It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop.Very fast for query processing.

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The most valuable features are the Shared-nothing architecture and data protection functionality.The feature that we find most valuable is its ability to perform Massive Parallel Processing.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.

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Cons
I saw some limitation with respect to the column store, and removing this would be an improvement.Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc.The installation is difficult and should be made easier.Implementation takes a long time.One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle.they need to interact more with customers. They need to explain the features, especially when there are new releases of Greenplum. I know just from information I've found that it has other features, it can be used to for analytics, for integration with Big Data, Hadoop. They need to focus on this part with the customer.They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data.It will be very useful if we could communicate with other database types from Greenplum (using a database link).

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The user interface needs to be improved.I would like to see an improved Knowledge Base on the web.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.

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Pricing and Cost Advice
We are using the open-source version of this solution.Pricing is good compared to other products. It's fine.It is the best product with best fit for price/performance customer objectives.

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The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space.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.

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report
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Ranking
6th
out of 30 in Data Warehouse
Views
11,662
Comparisons
8,217
Reviews
5
Average Words per Review
447
Avg. Rating
7.8
2nd
out of 30 in Data Warehouse
Views
19,349
Comparisons
15,071
Reviews
12
Average Words per Review
228
Avg. Rating
8.2
Top Comparisons
Compared 43% of the time.
Compared 11% of the time.
Compared 11% of the time.
Compared 21% of the time.
Compared 19% of the time.
Compared 12% of the time.
Also Known As
Greenplum
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Pivotal
Teradata
Overview

Advanced analytics meets traditional business intelligence with Pivotal Greenplum, the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open source Greenplum Database. Pivotal Greenplum provides comprehensive and integrated analytics on multi-structured data. Powered by one of the world’s most advanced cost-based query optimizers, Pivotal Greenplum delivers unmatched analytical query performance on massive volumes of data.

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 Pivotal Greenplum
Learn more about Teradata
Sample Customers
General Electric, Conversant, China CITIC Bank, Aridhia, Purdue UniversityNetflix
Top Industries
REVIEWERS
Financial Services Firm44%
Comms Service Provider19%
Marketing Services Firm19%
Software R&D Company6%
VISITORS READING REVIEWS
Software R&D Company25%
Financial Services Firm20%
Comms Service Provider12%
Insurance Company6%
REVIEWERS
Comms Service Provider43%
Energy/Utilities Company14%
Manufacturing Company14%
Logistics Company14%
VISITORS READING REVIEWS
Software R&D Company36%
Financial Services Firm16%
Media Company9%
Comms Service Provider9%
Find out what your peers are saying about Pivotal Greenplum vs. Teradata and other solutions. Updated: September 2019.
371,355 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.
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