We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Scaling this solution is easy and the uptime is okay."
"The most valuable features are the flexibility and that it's easy to use as an end-user compared to AWS."
"The initial setup was really easy and straightforward."
"The MPP (Massively Parallel Processing) architecture helps to make things a lot faster."
"The most valuable feature is the scalability."
"The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range."
"The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs."
"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."
"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."
"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."
"The most valuable feature for us is horizontal scaling."
"Pivotal Greenplum's shared-nothing architecture."
"The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable."
"It's super easy to deploy and it also supports different languages and analytics."
"I would like to see better integration with Active Directory, because we have had problems, and we still do."
"The initial setup process needs improvement. When you're moving to the cloud it takes a bit of time. It would be great if they could implement something that would make it faster."
"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."
"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'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."
"With respect to what needs to be improved, concurrent connectivity has some limitations."
"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."
"The configuration for things like high-availability could be more user-friendly for non-technical users."
"The installation is difficult and should be made easier."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"Initial setup is a little complex. It took around two weeks to deploy."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often."
"The price of this solution could be improved."
"The pricing is okay. You can pay as you go."
"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."
"When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage."
"The licensing fees for this solution are on a pay-per-use basis, and not very expensive."
"All of the prices are available online."
"Our license is very expensive"
"They are cost aggressive, and it integrates well with other Microsoft tools."
"We are using the open-source version of this solution."
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.
Parallel Postgres for enterprise analytics at scale
With improved transaction processing capability and support for streaming ingest, Greenplum can address workloads across a spectrum of analytic and operational contexts, from traditional business intelligence to deep learning.
Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 34 reviews while VMware Tanzu Greenplum is ranked 8th in Data Warehouse with 6 reviews. Microsoft Azure Synapse Analytics is rated 8.0, while VMware Tanzu Greenplum is rated 8.0. The top reviewer of Microsoft Azure Synapse Analytics writes "Scalable, intuitive, facilitates compliance and keeping your data secure". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Powerful external data integration and parallel load capabilities, with good technical support". Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, SAP BW4HANA, Oracle Autonomous Data Warehouse and SAP Business Warehouse, whereas VMware Tanzu Greenplum is most compared with Apache Hadoop, Snowflake, Amazon Redshift, Oracle Exadata and Oracle Database Appliance.
See our list of .
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.