Compare Amazon Redshift vs. Pivotal Greenplum

Amazon Redshift is ranked 3rd in Cloud Data Warehouse with 4 reviews while Pivotal Greenplum is ranked 6th in Data Warehouse with 5 reviews. Amazon Redshift is rated 8.6, while Pivotal Greenplum is rated 7.8. The top reviewer of Amazon Redshift writes "Easy to set up and easy to connect the many tools that connect to it". On the other hand, the top reviewer of Pivotal Greenplum writes "Handles complex queries and report production efficiently, integrates with Hadoop". Amazon Redshift is most compared with Snowflake, Teradata and Oracle Exadata, whereas Pivotal Greenplum is most compared with Apache Hadoop, Amazon Redshift and Teradata.
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Amazon Redshift Logo
12,646 views|9,069 comparisons
Pivotal Greenplum Logo
11,662 views|8,217 comparisons
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.
371,062 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 solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.It allows you write complex queries and perform row by row processes.It allows for the storage of huge amounts of data.The ability to reload data multiple times at different times.

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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
The speed of the solution and its portability needs improvement.Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions.In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations.Should be made available across zones, like other Multi-AZ solutions.

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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
It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20.Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive.

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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
3rd
Views
12,646
Comparisons
9,069
Reviews
3
Average Words per Review
195
Avg. Rating
8.7
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 21% of the time.
Compared 18% of the time.
Compared 14% of the time.
Compared 43% of the time.
Compared 11% of the time.
Compared 11% of the time.
Also Known As
Greenplum
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Pivotal
Overview

Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.

Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.

Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.

As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.

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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Sample Customers
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Top Industries
REVIEWERS
Comms Service Provider29%
Manufacturing Company14%
Logistics Company14%
Retailer14%
VISITORS READING REVIEWS
Software R&D Company32%
Media Company11%
Financial Services Firm10%
Manufacturing Company6%
REVIEWERS
Financial Services Firm44%
Marketing Services Firm19%
Comms Service Provider19%
Software R&D Company6%
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.
371,062 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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