Compare Oracle Autonomous Data Warehouse vs. Pivotal Greenplum

Oracle Autonomous Data Warehouse is ranked 5th in Cloud Data Warehouse with 2 reviews while Pivotal Greenplum is ranked 6th in Data Warehouse with 5 reviews. Oracle Autonomous Data Warehouse is rated 10.0, while Pivotal Greenplum is rated 7.8. The top reviewer of Oracle Autonomous Data Warehouse writes "Saves time by allowing me to simply load my data and go". On the other hand, the top reviewer of Pivotal Greenplum writes "Handles complex queries and report production efficiently, integrates with Hadoop". Oracle Autonomous Data Warehouse is most compared with Snowflake, Microsoft Azure SQL Data Warehouse and Amazon Redshift, whereas Pivotal Greenplum is most compared with Apache Hadoop, Amazon Redshift and Teradata.
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Most Helpful Review
Find out what your peers are saying about Micro Focus, Snowflake Computing, Amazon and others in Cloud Data Warehouse. Updated: September 2019.
370,827 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
I loved the simplicity of loading the data and simply relying on the self-tuning capabilities of ADW.Oracle Autonomous Data Warehouse is used globally to deliver extreme performance on large Financial data sets.

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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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Cons
I would like to see Application Express and Oracle R Enterprise fully supported, and I would like to see Oracle Data Mining supported as a front end.An improvement for us would be the inclusion of support for an internal IP, so we could use it directly with the VCN in Oracle Cloud.

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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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Pricing and Cost Advice
The cost is perfect with Oracle Universal credit.

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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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Ranking
5th
Views
623
Comparisons
289
Reviews
2
Average Words per Review
394
Avg. Rating
10.0
6th
out of 30 in Data Warehouse
Views
11,662
Comparisons
8,217
Reviews
5
Average Words per Review
447
Avg. Rating
7.8
Top Comparisons
Compared 43% of the time.
Compared 11% of the time.
Compared 11% of the time.
Also Known As
Greenplum
Learn
Oracle
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Pivotal
Overview

Autonomous Data Warehouse is market-leading Oracle Database software running on proven Oracle Exadata infrastructure that is optimized to deliver unbeatable performance for data warehouse workloads. Built-in adaptive machine learning eliminates manual labor for administrative management. With Oracle, business and enterprise users can now build their own data warehouse, data mart, or sandbox in a few minutes.

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.

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Learn more about Oracle Autonomous Data Warehouse
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Sample Customers
Hertz, TaylorMade Golf, Outront Media, Kingold, FSmart, Drop-TankGeneral Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Top Industries
VISITORS READING REVIEWS
Software R&D Company57%
Comms Service Provider12%
Energy/Utilities Company8%
Construction Company6%
REVIEWERS
Financial Services Firm44%
Marketing Services Firm19%
Comms Service Provider19%
Retailer6%
VISITORS READING REVIEWS
Software R&D Company24%
Financial Services Firm20%
Comms Service Provider12%
Manufacturing Company6%
Find out what your peers are saying about Micro Focus, Snowflake Computing, Amazon and others in Cloud Data Warehouse. Updated: September 2019.
370,827 professionals have used our research since 2012.
We monitor all Cloud 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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