Compare Microsoft Azure SQL Data Warehouse vs. Pivotal Greenplum

Microsoft Azure SQL Data Warehouse is ranked 2nd in Cloud Data Warehouse with 10 reviews while Pivotal Greenplum is ranked 7th in Data Warehouse with 5 reviews. Microsoft Azure SQL Data Warehouse is rated 7.8, while Pivotal Greenplum is rated 7.4. The top reviewer of Microsoft Azure SQL Data Warehouse writes "A good solution for simple data warehousing that scales well, but it needs better technical support". On the other hand, the top reviewer of Pivotal Greenplum writes "Handles complex queries and report production efficiently, integrates with Hadoop". Microsoft Azure SQL Data Warehouse is most compared with Snowflake, Amazon Redshift and SAP BW/4HANA, 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 Snowflake Computing, Microsoft, Micro Focus and others in Cloud Data Warehouse. Updated: January 2020.
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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 of the solution is the analytics and that it can connect with Power BI.The most valuable feature is the incremental load because we do not need to refresh the entire data on a daily basis.Azure elasticity allows us to scale as much as we want, and it is pay-as-you-go, so we can scale up as we need to.The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs.The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.The most valuable feature is the scalability.The MPP (Massively Parallel Processing) architecture helps to make things a lot faster.The initial setup was really easy and straightforward.

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Pivotal Greenplum's shared-nothing architecture.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.

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Cons
I would like my team to be able to build pipelines that integrate with the Azure Data Factory.I would like to see version control implemented into the data warehouse.The configuration for things like high-availability could be more user-friendly for non-technical users.I'm not entirely happy with the billing model. I'm not entirely happy with how the enterprise services are pretty expensive, but that's about it.With respect to what needs to be improved, concurrent connectivity has some limitations.It's pay as you go, so you never know what your bill is going to be beforehand, and that's scary for customers. If you have someone who makes a mistake and the program's a loop that is running all night, you could receive a very expensive bill.This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market.It would be of interest to improve things like the web service integration and availability in terms of being easy to create internal web services in the database.

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Initial setup is a little complex. It took around two weeks to deploy.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.

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Pricing and Cost Advice
The licensing fees for this solution are on a pay-per-use basis, and not very expensive.When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage.This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version.The pricing is okay. You can pay as you go.The price of this solution could be improved.

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We are using the open-source version of this solution.Pricing is good compared to other products. It's fine.

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Ranking
2nd
Views
8,085
Comparisons
6,960
Reviews
10
Average Words per Review
496
Avg. Rating
7.7
7th
out of 30 in Data Warehouse
Views
12,022
Comparisons
8,546
Reviews
5
Average Words per Review
433
Avg. Rating
7.4
Top Comparisons
Compared 38% of the time.
Compared 13% of the time.
Compared 11% of the time.
Also Known As
Microsoft Azure SQL DW, Azure SQL Data WarehouseGreenplum
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Microsoft
Pivotal
Overview

Azure SQL Data Warehouse is a Fast, flexible, and secure analytics platform for the enterprise. Azure SQL Data Warehouse lets you independently scale compute and storage, while pausing and resuming your data warehouse within minutes through a massively parallel processing architecture designed for the cloud. Seamlessly create your hub for analytics along with native connectivity with data integration and visualization services, all while using your existing SQL and BI skills.

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 Microsoft Azure SQL Data Warehouse
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Sample Customers
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Top Industries
VISITORS READING REVIEWS
Software R&D Company42%
Financial Services Firm9%
Comms Service Provider9%
Manufacturing Company5%
REVIEWERS
Financial Services Firm44%
Marketing Services Firm19%
Comms Service Provider19%
Pharma/Biotech Company6%
VISITORS READING REVIEWS
Software R&D Company31%
Financial Services Firm18%
Comms Service Provider13%
Insurance Company5%
Find out what your peers are saying about Snowflake Computing, Microsoft, Micro Focus and others in Cloud Data Warehouse. Updated: January 2020.
397,983 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.